International Business Machines Corporation

États‑Unis d’Amérique

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Type PI
        Brevet 59 829
        Marque 1 476
Juridiction
        États-Unis 50 658
        International 9 294
        Canada 1 073
        Europe 280
Propriétaire / Filiale
[Owner] International Business Machines Corporation 61 085
IBM United Kingdom Limited 4 471
IBM China Company Limited 1 018
IBM Deutschland GmbH 661
IBM Canada Limited 90
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Date
Nouveautés (dernières 4 semaines) 437
2024 mars (MACJ) 408
2024 février 193
2024 janvier 188
2023 décembre 337
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Classe IPC
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole 3 402
H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison 3 242
G06F 17/30 - Recherche documentaire; Structures de bases de données à cet effet 3 204
G06N 20/00 - Apprentissage automatique 3 009
H01L 29/66 - Types de dispositifs semi-conducteurs 2 572
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Classe NICE
09 - Appareils et instruments scientifiques et électriques 1 168
42 - Services scientifiques, technologiques et industriels, recherche et conception 1 067
35 - Publicité; Affaires commerciales 567
16 - Papier, carton et produits en ces matières 464
41 - Éducation, divertissements, activités sportives et culturelles 337
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Statut
En Instance 5 769
Enregistré / En vigueur 55 536
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1.

WATSONX ASSISTANT

      
Numéro d'application 1784238
Statut Enregistrée
Date de dépôt 2024-01-26
Date d'enregistrement 2024-01-26
Propriétaire International Business Machines Corporation (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; quantum computers; computer hardware and software; computer hardware and software for information technology analysis and data management; computer hardware and software for application development; computer hardware and software for cloud computing; computer hardware and software for cognitive computing; computer hardware and software for artificial intelligence; computer hardware and software for blockchain technology; computer hardware and software for quantum computing and quantum programming; computer hardware, namely, magnetic tape units (data processing), magnetic tapes, printed circuits, integrated circuits, computer keyboards, compact disks (audio-video), optical disks, couplers (data processing), diskettes, magnetic data carriers; computer hardware, namely, video screens, scanners (data processing equipment), computer printers, interfaces (data processing), readers (data processing), software (recorded programs), microprocessors, modems, monitors (hardware), computers, computer memories, computer peripherals; computer adapters; computer components; data processing equipment; data processing equipment for data and information management; semiconductors; machine-readable electronic data media; magnetic disks; disk drives; tape recorders; calculating machines; cash registers; facsimile machines; video recorders; videotapes; electric cells and electric batteries; computer chips; boards for integrated circuits; computer accessories, namely, computer communication servers; computer carrying cases; computer interface boards; computer cables and computer cable parts; fax modem cards for computers; computer accessories, namely, screen filters, mouse pads, radio pagers, joysticks; electric converters, namely, digital-to-analog, analog-to-digital and step-by-step voltage switches; computer mice; integrated circuit cards and smart cards, adapters for integrated circuits and adapters for smart cards; readers for integrated circuit cards and smart cards; microcomputers; electrical power supplies; projectors (projection apparatus); remote controls for computers; inverters, surge protectors and uninterruptible power supplies; point-of-sale terminals (payment terminals); computer servers; computer storage devices, namely high-speed storage subsystems for storage and backup of electronic data either locally or via a telecommunication network; recorded and downloadable computer programs and software; video game software; operating system software and programs; software used for accessing a global computer network; document management software; database management software; software used for locating, retrieving and receiving text, electronic documents, graphics and audiovisual information on enterprise-wide internal computer networks and local and wide-area global computer networks; software used for software development and web authoring and user manuals in electronic format sold as a unit with these products; computer software for use in controlling the operation and execution of computer systems, programs, and computer networks; computer software for use in connecting disparate computer networks and systems, computer servers and storage devices; computer programs for linking computers together and for enabling computer activities across a global computer network; computer software for managing systems, software and processes that exist within an information technology environment; computer systems combining computer hardware and software for use in management and analysis of data and instruction manuals in electronic format sold with these products; cloud computing systems, namely networks integrating computer hardware and software for dynamic provisioning, virtualization and consumption metering of computer resources; recorded and downloadable cloud computing software for deploying and managing virtual machines on a cloud computing platform; computer systems, namely, computer hardware and computer software for developing and integrating artificial intelligence, namely, machine learning, deep learning and natural language processing which are capable of collecting, organizing and analyzing data; computer systems, namely, computer hardware and computer software for integrating Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) which is capable of understanding general human queries and formulating responses; software for developing, building and operating blockchain applications; computer hardware and computer software for developing and testing quantum algorithms; documentation and instruction manuals recorded on machine-readable electronic data media and relating to computers or computer programs; electronic publications, downloadable; electronic publications on computer media, namely, user manuals, guide books, brochures, information sheets, written presentations and teaching materials in the field of computing, computer networks, computer storage, computer operating systems, information technology, database management, cloud computing, artificial intelligence, blockchain technology and quantum computing. Advertising; sales promotion services (for third parties); commercial business management and advice regarding commercial business management; business information; distribution of prospectuses; distribution of samples; arranging newspaper subscriptions for third parties; accounting; document reproduction; systematization of data in a central file; organization of exhibitions for commercial or advertising purposes; business management consulting services and business consulting services; business development service; analysis of market research data and statistics; electronic data processing; computer data processing services for artificial intelligence; computer data processing services for cognitive computing; computer data processing services for cloud computing; computer data processing services for blockchain technology; computer data processing services for data management; computer data processing services for quantum computing and quantum programming; arranging and conducting trade show exhibitions in the field of computers, computer services, information technology, artificial intelligence, cloud computing, blockchain technology, quantum computing, database management and electronic business transactions via a global computer network; business consulting services for companies regarding artificial intelligence; business consulting services for companies regarding computer systems that integrate Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) functions and capable of understanding general human queries and formulating responses; business consulting services for companies relating to cloud computing; business consulting services for companies regarding blockchain technology; business consulting services for companies regarding quantum computing, quantum programming and for developing and testing quantum algorithms; business consulting services for companies regarding information technology; analyzing and compiling business data; systemization of data in computer databases; business management consultancy in the field of information technology; advisory services for companies relating to business organization; organizing and conducting incentive reward programs for companies and professionals in order to promote and reward company performance, productivity and recognition; organizing and conducting incentive reward programs to promote the sale of information technology; offering reward programs for companies and professionals through the distribution of loyalty points with the aim of promoting and rewarding loyalty; organizing and conducting (promotional) reward programs for customers, companies and professionals; provision of business information via a website. Computer programming; Software as a service (SaaS) services featuring software for data management; software as a service (SaaS) services featuring software for cloud computing; software as a service (SaaS) services featuring software for artificial intelligence; software as a service (SaaS) services featuring software for cognitive computing; software as a service (SaaS) services featuring software for blockchain technology; software as a service (SaaS) services featuring software for quantum computing and quantum programming; software as a service (SaaS) services featuring software for constructing, analyzing and running quantum programs and quantum algorithms; software as a service (SaaS) services featuring software for developing and testing quantum algorithms; computer programming and computer consulting services for artificial intelligence; computer programming and computer consulting services for cognitive computing; computer programming and computer consulting services for information management; computer programming and computer consulting services for data management; computer programming and computer consulting services for cloud computing; computer programming and computer consulting services for blockchain technology; computer programming and computer consulting services for quantum computing; computer programming and computer consulting services for software as a service (SaaS); design, installation, updating and maintenance of software; computer software and hardware design for the benefit of third parties, and professional advisory services in the field of computers; technical support services, namely, troubleshooting of computer program and software problems; computer services, namely, design, creation and maintenance of websites for third parties; computer systems analysis, database and network integration, computer programming for third parties, all for use in commercial interactions over global computer networks; design of systems for interconnection of computers and software, namely, electronic connection of computers and software to each other; computer software and hardware testing services (quality and technical controls); technical project studies in the field of computer hardware and software; consultancy services in the field of computer hardware, namely consultancy regarding computing research and development; computer advice and assistance concerning Internet use; rental of computers and software; scientific and industrial research, namely research and development of new products, biological research, bacteriological research, chemical research, cosmetology research, mechanical research, geological research, technological research, pharmaceutical research, scientific research for medical purposes; information technology consulting; computer system integration services; consulting services in the field of design, selection, implementation and use of computer hardware and software systems for third parties; technical support services, namely, troubleshooting computer program problems; computer system design services for third parties; design of systems for interconnection of computers and computer programs, namely, integration of computer systems and computer networks; computer program and computer hardware testing services, namely testing of software, computers and servers to ensure proper functioning thereof; cloud computing services, namely, integrated computer hardware and network software services for dynamic provisioning, virtualization, and consumption metering of computer resources; providing virtual computer systems and virtual computer environments through cloud computing; design and development of software for cloud storage of data; cloud computing hosting provider services; electronic storage of electronic data and data recovery; data security service; computer support services with respect to computer programs provided by computer specialists; design of computer hardware for computer networks; providing information relating to information technology via a website; technical support services, namely computer hardware problem solving.

2.

WATSONXYOURAGENCY

      
Numéro d'application 1784236
Statut Enregistrée
Date de dépôt 2024-01-11
Date d'enregistrement 2024-01-11
Propriétaire International Business Machines Corporation (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; quantum computers; computer hardware and software; computer hardware and software for information technology analysis and data management; computer hardware and software for application development; computer hardware and software for cloud computing; computer hardware and software for cognitive computing; computer hardware and software for artificial intelligence; computer hardware and software for blockchain technology; computer hardware and software for quantum computing and quantum programming; computer hardware, namely, magnetic tape units (data processing), magnetic tapes, printed circuits, integrated circuits, computer keyboards, compact disks (audio-video), optical disks, couplers (data processing), diskettes, magnetic data carriers; computer hardware, namely, video screens, scanners (data processing equipment), computer printers, interfaces (data processing), readers (data processing), software (recorded programs), microprocessors, modems, monitors (hardware), computers, computer memories, computer peripherals; computer adapters; computer components; data processing equipment; data processing equipment for data and information management; semiconductors; machine-readable electronic data media; magnetic disks; disk drives; tape recorders; calculating machines; cash registers; facsimile machines; video recorders; videotapes; electric cells and electric batteries; computer chips; boards for integrated circuits; computer accessories, namely, computer communication servers; computer carrying cases; computer interface boards; computer cables and computer cable parts; fax modem cards for computers; computer accessories, namely, screen filters, mouse pads, radio pagers, joysticks; electric converters, namely, digital-to-analog, analog-to-digital and step-by-step voltage switches; computer mice; integrated circuit cards and smart cards, adapters for integrated circuits and adapters for smart cards; readers for integrated circuit cards and smart cards; microcomputers; electrical power supplies; projectors (projection apparatus); remote controls for computers; inverters, surge protectors and uninterruptible power supplies; point-of-sale terminals (payment terminals); computer servers; computer storage devices, namely high-speed storage subsystems for storage and backup of electronic data either locally or via a telecommunication network; recorded and downloadable computer programs and software; video game software; operating system software and programs; software used for accessing a global computer network; document management software; database management software; software used for locating, retrieving and receiving text, electronic documents, graphics and audiovisual information on enterprise-wide internal computer networks and local and wide-area global computer networks; software used for software development and web authoring and user manuals in electronic format sold as a unit with these products; computer software for use in controlling the operation and execution of computer systems, programs, and computer networks; computer software for use in connecting disparate computer networks and systems, computer servers and storage devices; computer programs for linking computers together and for enabling computer activities across a global computer network; computer software for managing systems, software and processes that exist within an information technology environment; computer systems combining computer hardware and software for use in management and analysis of data and instruction manuals in electronic format sold with these products; cloud computing systems, namely networks integrating computer hardware and software for dynamic provisioning, virtualization and consumption metering of computer resources; recorded and downloadable cloud computing software for deploying and managing virtual machines on a cloud computing platform; computer systems, namely, computer hardware and computer software for developing and integrating artificial intelligence, namely, machine learning, deep learning and natural language processing which are capable of collecting, organizing and analyzing data; computer systems, namely, computer hardware and computer software for integrating Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) which is capable of understanding general human queries and formulating responses; software for developing, building and operating blockchain applications; computer hardware and computer software for developing and testing quantum algorithms; documentation and instruction manuals recorded on machine-readable electronic data media and relating to computers or computer programs; electronic publications, downloadable; electronic publications on computer media, namely, user manuals, guide books, brochures, information sheets, written presentations and teaching materials in the field of computing, computer networks, computer storage, computer operating systems, information technology, database management, cloud computing, artificial intelligence, blockchain technology and quantum computing. Advertising; sales promotion services (for third parties); commercial business management and advice regarding commercial business management; business information; distribution of prospectuses; distribution of samples; arranging newspaper subscriptions for third parties; accounting; document reproduction; systematization of data in a central file; organization of exhibitions for commercial or advertising purposes; business management consulting services and business consulting services; business development service; analysis of market research data and statistics; electronic data processing; computer data processing services for artificial intelligence; computer data processing services for cognitive computing; computer data processing services for cloud computing; computer data processing services for blockchain technology; computer data processing services for data management; computer data processing services for quantum computing and quantum programming; arranging and conducting trade show exhibitions in the field of computers, computer services, information technology, artificial intelligence, cloud computing, blockchain technology, quantum computing, database management and electronic business transactions via a global computer network; business consulting services for companies regarding artificial intelligence; business consulting services for companies regarding computer systems that integrate Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) functions and capable of understanding general human queries and formulating responses; business consulting services for companies relating to cloud computing; business consulting services for companies regarding blockchain technology; business consulting services for companies regarding quantum computing, quantum programming and for developing and testing quantum algorithms; business consulting services for companies regarding information technology; analyzing and compiling business data; systemization of data in computer databases; business management consultancy in the field of information technology; advisory services for companies relating to business organization; organizing and conducting incentive reward programs for companies and professionals in order to promote and reward company performance, productivity and recognition; organizing and conducting incentive reward programs to promote the sale of information technology; offering reward programs for companies and professionals through the distribution of loyalty points with the aim of promoting and rewarding loyalty; organizing and conducting (promotional) reward programs for customers, companies and professionals; provision of business information via a website. Computer programming; Software as a service (SaaS) services featuring software for data management; software as a service (SaaS) services featuring software for cloud computing; software as a service (SaaS) services featuring software for artificial intelligence; software as a service (SaaS) services featuring software for cognitive computing; software as a service (SaaS) services featuring software for blockchain technology; software as a service (SaaS) services featuring software for quantum computing and quantum programming; software as a service (SaaS) services featuring software for constructing, analyzing and running quantum programs and quantum algorithms; software as a service (SaaS) services featuring software for developing and testing quantum algorithms; computer programming and computer consulting services for artificial intelligence; computer programming and computer consulting services for cognitive computing; computer programming and computer consulting services for information management; computer programming and computer consulting services for data management; computer programming and computer consulting services for cloud computing; computer programming and computer consulting services for blockchain technology; computer programming and computer consulting services for quantum computing; computer programming and computer consulting services for software as a service (SaaS); design, installation, updating and maintenance of software; computer software and hardware design for the benefit of third parties, and professional advisory services in the field of computers; technical support services, namely, troubleshooting of computer program and software problems; computer services, namely, design, creation and maintenance of websites for third parties; computer systems analysis, database and network integration, computer programming for third parties, all for use in commercial interactions over global computer networks; design of systems for interconnection of computers and software, namely, electronic connection of computers and software to each other; computer software and hardware testing services (quality and technical controls); technical project studies in the field of computer hardware and software; consultancy services in the field of computer hardware, namely consultancy regarding computing research and development; computer advice and assistance concerning Internet use; rental of computers and software; scientific and industrial research, namely research and development of new products, biological research, bacteriological research, chemical research, cosmetology research, mechanical research, geological research, technological research, pharmaceutical research, scientific research for medical purposes; information technology consulting; computer system integration services; consulting services in the field of design, selection, implementation and use of computer hardware and software systems for third parties; technical support services, namely, troubleshooting computer program problems; computer system design services for third parties; design of systems for interconnection of computers and computer programs, namely, integration of computer systems and computer networks; computer program and computer hardware testing services, namely testing of software, computers and servers to ensure proper functioning thereof; cloud computing services, namely, integrated computer hardware and network software services for dynamic provisioning, virtualization, and consumption metering of computer resources; providing virtual computer systems and virtual computer environments through cloud computing; design and development of software for cloud storage of data; cloud computing hosting provider services; electronic storage of electronic data and data recovery; data security service; computer support services with respect to computer programs provided by computer specialists; design of computer hardware for computer networks; providing information relating to information technology via a website; technical support services, namely computer hardware problem solving.

3.

WATSONX ORCHESTRATE

      
Numéro d'application 1784239
Statut Enregistrée
Date de dépôt 2024-01-26
Date d'enregistrement 2024-01-26
Propriétaire International Business Machines Corporation (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; quantum computers; computer hardware and software; computer hardware and software for information technology analysis and data management; computer hardware and software for application development; computer hardware and software for cloud computing; computer hardware and software for cognitive computing; computer hardware and software for artificial intelligence; computer hardware and software for blockchain technology; computer hardware and software for quantum computing and quantum programming; computer hardware, namely, magnetic tape units (data processing), magnetic tapes, printed circuits, integrated circuits, computer keyboards, compact disks (audio-video), optical disks, couplers (data processing), diskettes, magnetic data carriers; computer hardware, namely, video screens, scanners (data processing equipment), computer printers, interfaces (data processing), readers (data processing), software (recorded programs), microprocessors, modems, monitors (hardware), computers, computer memories, computer peripherals; computer adapters; computer components; data processing equipment; data processing equipment for data and information management; semiconductors; machine-readable electronic data media; magnetic disks; disk drives; tape recorders; calculating machines; cash registers; facsimile machines; video recorders; videotapes; electric cells and electric batteries; computer chips; boards for integrated circuits; computer accessories, namely, computer communication servers; computer carrying cases; computer interface boards; computer cables and computer cable parts; fax modem cards for computers; computer accessories, namely, screen filters, mouse pads, radio pagers, joysticks; electric converters, namely, digital-to-analog, analog-to-digital and step-by-step voltage switches; computer mice; integrated circuit cards and smart cards, adapters for integrated circuits and adapters for smart cards; readers for integrated circuit cards and smart cards; microcomputers; electrical power supplies; projectors (projection apparatus); remote controls for computers; inverters, surge protectors and uninterruptible power supplies; point-of-sale terminals (payment terminals); computer servers; computer storage devices, namely high-speed storage subsystems for storage and backup of electronic data either locally or via a telecommunication network; recorded and downloadable computer programs and software; video game software; operating system software and programs; software used for accessing a global computer network; document management software; database management software; software used for locating, retrieving and receiving text, electronic documents, graphics and audiovisual information on enterprise-wide internal computer networks and local and wide-area global computer networks; software used for software development and web authoring and user manuals in electronic format sold as a unit with these products; computer software for use in controlling the operation and execution of computer systems, programs, and computer networks; computer software for use in connecting disparate computer networks and systems, computer servers and storage devices; computer programs for linking computers together and for enabling computer activities across a global computer network; computer software for managing systems, software and processes that exist within an information technology environment; computer systems combining computer hardware and software for use in management and analysis of data and instruction manuals in electronic format sold with these products; cloud computing systems, namely networks integrating computer hardware and software for dynamic provisioning, virtualization and consumption metering of computer resources; recorded and downloadable cloud computing software for deploying and managing virtual machines on a cloud computing platform; computer systems, namely, computer hardware and computer software for developing and integrating artificial intelligence, namely, machine learning, deep learning and natural language processing which are capable of collecting, organizing and analyzing data; computer systems, namely, computer hardware and computer software for integrating Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) which is capable of understanding general human queries and formulating responses; software for developing, building and operating blockchain applications; computer hardware and computer software for developing and testing quantum algorithms; documentation and instruction manuals recorded on machine-readable electronic data media and relating to computers or computer programs; electronic publications, downloadable; electronic publications on computer media, namely, user manuals, guide books, brochures, information sheets, written presentations and teaching materials in the field of computing, computer networks, computer storage, computer operating systems, information technology, database management, cloud computing, artificial intelligence, blockchain technology and quantum computing. Advertising; sales promotion services (for third parties); commercial business management and advice regarding commercial business management; business information; distribution of prospectuses; distribution of samples; arranging newspaper subscriptions for third parties; accounting; document reproduction; systematization of data in a central file; organization of exhibitions for commercial or advertising purposes; business management consulting services and business consulting services; business development service; analysis of market research data and statistics; electronic data processing; computer data processing services for artificial intelligence; computer data processing services for cognitive computing; computer data processing services for cloud computing; computer data processing services for blockchain technology; computer data processing services for data management; computer data processing services for quantum computing and quantum programming; arranging and conducting trade show exhibitions in the field of computers, computer services, information technology, artificial intelligence, cloud computing, blockchain technology, quantum computing, database management and electronic business transactions via a global computer network; business consulting services for companies regarding artificial intelligence; business consulting services for companies regarding computer systems that integrate Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) functions and capable of understanding general human queries and formulating responses; business consulting services for companies relating to cloud computing; business consulting services for companies regarding blockchain technology; business consulting services for companies regarding quantum computing, quantum programming and for developing and testing quantum algorithms; business consulting services for companies regarding information technology; analyzing and compiling business data; systemization of data in computer databases; business management consultancy in the field of information technology; advisory services for companies relating to business organization; organizing and conducting incentive reward programs for companies and professionals in order to promote and reward company performance, productivity and recognition; organizing and conducting incentive reward programs to promote the sale of information technology; offering reward programs for companies and professionals through the distribution of loyalty points with the aim of promoting and rewarding loyalty; organizing and conducting (promotional) reward programs for customers, companies and professionals; provision of business information via a website. Computer programming; Software as a service (SaaS) services featuring software for data management; software as a service (SaaS) services featuring software for cloud computing; software as a service (SaaS) services featuring software for artificial intelligence; software as a service (SaaS) services featuring software for cognitive computing; software as a service (SaaS) services featuring software for blockchain technology; software as a service (SaaS) services featuring software for quantum computing and quantum programming; software as a service (SaaS) services featuring software for constructing, analyzing and running quantum programs and quantum algorithms; software as a service (SaaS) services featuring software for developing and testing quantum algorithms; computer programming and computer consulting services for artificial intelligence; computer programming and computer consulting services for cognitive computing; computer programming and computer consulting services for information management; computer programming and computer consulting services for data management; computer programming and computer consulting services for cloud computing; computer programming and computer consulting services for blockchain technology; computer programming and computer consulting services for quantum computing; computer programming and computer consulting services for software as a service (SaaS); design, installation, updating and maintenance of software; computer software and hardware design for the benefit of third parties, and professional advisory services in the field of computers; technical support services, namely, troubleshooting of computer program and software problems; computer services, namely, design, creation and maintenance of websites for third parties; computer systems analysis, database and network integration, computer programming for third parties, all for use in commercial interactions over global computer networks; design of systems for interconnection of computers and software, namely, electronic connection of computers and software to each other; computer software and hardware testing services (quality and technical controls); technical project studies in the field of computer hardware and software; consultancy services in the field of computer hardware, namely consultancy regarding computing research and development; computer advice and assistance concerning Internet use; rental of computers and software; scientific and industrial research, namely research and development of new products, biological research, bacteriological research, chemical research, cosmetology research, mechanical research, geological research, technological research, pharmaceutical research, scientific research for medical purposes; information technology consulting; computer system integration services; consulting services in the field of design, selection, implementation and use of computer hardware and software systems for third parties; technical support services, namely, troubleshooting computer program problems; computer system design services for third parties; design of systems for interconnection of computers and computer programs, namely, integration of computer systems and computer networks; computer program and computer hardware testing services, namely testing of software, computers and servers to ensure proper functioning thereof; cloud computing services, namely, integrated computer hardware and network software services for dynamic provisioning, virtualization, and consumption metering of computer resources; providing virtual computer systems and virtual computer environments through cloud computing; design and development of software for cloud storage of data; cloud computing hosting provider services; electronic storage of electronic data and data recovery; data security service; computer support services with respect to computer programs provided by computer specialists; design of computer hardware for computer networks; providing information relating to information technology via a website; technical support services, namely computer hardware problem solving.

4.

WATSONX YOUR AGENCY

      
Numéro d'application 1784237
Statut Enregistrée
Date de dépôt 2024-01-11
Date d'enregistrement 2024-01-11
Propriétaire International Business Machines Corporation (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; quantum computers; computer hardware and software; computer hardware and software for information technology analysis and data management; computer hardware and software for application development; computer hardware and software for cloud computing; computer hardware and software for cognitive computing; computer hardware and software for artificial intelligence; computer hardware and software for blockchain technology; computer hardware and software for quantum computing and quantum programming; computer hardware, namely, magnetic tape units (data processing), magnetic tapes, printed circuits, integrated circuits, computer keyboards, compact disks (audio-video), optical disks, couplers (data processing), diskettes, magnetic data carriers; computer hardware, namely, video screens, scanners (data processing equipment), computer printers, interfaces (data processing), readers (data processing), software (recorded programs), microprocessors, modems, monitors (hardware), computers, computer memories, computer peripherals; computer adapters; computer components; data processing equipment; data processing equipment for data and information management; semiconductors; machine-readable electronic data media; magnetic disks; disk drives; tape recorders; calculating machines; cash registers; facsimile machines; video recorders; videotapes; electric cells and electric batteries; computer chips; boards for integrated circuits; computer accessories, namely, computer communication servers; computer carrying cases; computer interface boards; computer cables and computer cable parts; fax modem cards for computers; computer accessories, namely, screen filters, mouse pads, radio pagers, joysticks; electric converters, namely, digital-to-analog, analog-to-digital and step-by-step voltage switches; computer mice; integrated circuit cards and smart cards, adapters for integrated circuits and adapters for smart cards; readers for integrated circuit cards and smart cards; microcomputers; electrical power supplies; projectors (projection apparatus); remote controls for computers; inverters, surge protectors and uninterruptible power supplies; point-of-sale terminals (payment terminals); computer servers; computer storage devices, namely high-speed storage subsystems for storage and backup of electronic data either locally or via a telecommunication network; recorded and downloadable computer programs and software; video game software; operating system software and programs; software used for accessing a global computer network; document management software; database management software; software used for locating, retrieving and receiving text, electronic documents, graphics and audiovisual information on enterprise-wide internal computer networks and local and wide-area global computer networks; software used for software development and web authoring and user manuals in electronic format sold as a unit with these products; computer software for use in controlling the operation and execution of computer systems, programs, and computer networks; computer software for use in connecting disparate computer networks and systems, computer servers and storage devices; computer programs for linking computers together and for enabling computer activities across a global computer network; computer software for managing systems, software and processes that exist within an information technology environment; computer systems combining computer hardware and software for use in management and analysis of data and instruction manuals in electronic format sold with these products; cloud computing systems, namely networks integrating computer hardware and software for dynamic provisioning, virtualization and consumption metering of computer resources; recorded and downloadable cloud computing software for deploying and managing virtual machines on a cloud computing platform; computer systems, namely, computer hardware and computer software for developing and integrating artificial intelligence, namely, machine learning, deep learning and natural language processing which are capable of collecting, organizing and analyzing data; computer systems, namely, computer hardware and computer software for integrating Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) which is capable of understanding general human queries and formulating responses; software for developing, building and operating blockchain applications; computer hardware and computer software for developing and testing quantum algorithms; documentation and instruction manuals recorded on machine-readable electronic data media and relating to computers or computer programs; electronic publications, downloadable; electronic publications on computer media, namely, user manuals, guide books, brochures, information sheets, written presentations and teaching materials in the field of computing, computer networks, computer storage, computer operating systems, information technology, database management, cloud computing, artificial intelligence, blockchain technology and quantum computing. Advertising; sales promotion services (for third parties); commercial business management and advice regarding commercial business management; business information; distribution of prospectuses; distribution of samples; arranging newspaper subscriptions for third parties; accounting; document reproduction; systematization of data in a central file; organization of exhibitions for commercial or advertising purposes; business management consulting services and business consulting services; business development service; analysis of market research data and statistics; electronic data processing; computer data processing services for artificial intelligence; computer data processing services for cognitive computing; computer data processing services for cloud computing; computer data processing services for blockchain technology; computer data processing services for data management; computer data processing services for quantum computing and quantum programming; arranging and conducting trade show exhibitions in the field of computers, computer services, information technology, artificial intelligence, cloud computing, blockchain technology, quantum computing, database management and electronic business transactions via a global computer network; business consulting services for companies regarding artificial intelligence; business consulting services for companies regarding computer systems that integrate Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) functions and capable of understanding general human queries and formulating responses; business consulting services for companies relating to cloud computing; business consulting services for companies regarding blockchain technology; business consulting services for companies regarding quantum computing, quantum programming and for developing and testing quantum algorithms; business consulting services for companies regarding information technology; analyzing and compiling business data; systemization of data in computer databases; business management consultancy in the field of information technology; advisory services for companies relating to business organization; organizing and conducting incentive reward programs for companies and professionals in order to promote and reward company performance, productivity and recognition; organizing and conducting incentive reward programs to promote the sale of information technology; offering reward programs for companies and professionals through the distribution of loyalty points with the aim of promoting and rewarding loyalty; organizing and conducting (promotional) reward programs for customers, companies and professionals; provision of business information via a website. Computer programming; Software as a service (SaaS) services featuring software for data management; software as a service (SaaS) services featuring software for cloud computing; software as a service (SaaS) services featuring software for artificial intelligence; software as a service (SaaS) services featuring software for cognitive computing; software as a service (SaaS) services featuring software for blockchain technology; software as a service (SaaS) services featuring software for quantum computing and quantum programming; software as a service (SaaS) services featuring software for constructing, analyzing and running quantum programs and quantum algorithms; software as a service (SaaS) services featuring software for developing and testing quantum algorithms; computer programming and computer consulting services for artificial intelligence; computer programming and computer consulting services for cognitive computing; computer programming and computer consulting services for information management; computer programming and computer consulting services for data management; computer programming and computer consulting services for cloud computing; computer programming and computer consulting services for blockchain technology; computer programming and computer consulting services for quantum computing; computer programming and computer consulting services for software as a service (SaaS); design, installation, updating and maintenance of software; computer software and hardware design for the benefit of third parties, and professional advisory services in the field of computers; technical support services, namely, troubleshooting of computer program and software problems; computer services, namely, design, creation and maintenance of websites for third parties; computer systems analysis, database and network integration, computer programming for third parties, all for use in commercial interactions over global computer networks; design of systems for interconnection of computers and software, namely, electronic connection of computers and software to each other; computer software and hardware testing services (quality and technical controls); technical project studies in the field of computer hardware and software; consultancy services in the field of computer hardware, namely consultancy regarding computing research and development; computer advice and assistance concerning Internet use; rental of computers and software; scientific and industrial research, namely research and development of new products, biological research, bacteriological research, chemical research, cosmetology research, mechanical research, geological research, technological research, pharmaceutical research, scientific research for medical purposes; information technology consulting; computer system integration services; consulting services in the field of design, selection, implementation and use of computer hardware and software systems for third parties; technical support services, namely, troubleshooting computer program problems; computer system design services for third parties; design of systems for interconnection of computers and computer programs, namely, integration of computer systems and computer networks; computer program and computer hardware testing services, namely testing of software, computers and servers to ensure proper functioning thereof; cloud computing services, namely, integrated computer hardware and network software services for dynamic provisioning, virtualization, and consumption metering of computer resources; providing virtual computer systems and virtual computer environments through cloud computing; design and development of software for cloud storage of data; cloud computing hosting provider services; electronic storage of electronic data and data recovery; data security service; computer support services with respect to computer programs provided by computer specialists; design of computer hardware for computer networks; providing information relating to information technology via a website; technical support services, namely computer hardware problem solving.

5.

WATSONX CODE ASSISTANT

      
Numéro d'application 1784240
Statut Enregistrée
Date de dépôt 2024-01-26
Date d'enregistrement 2024-01-26
Propriétaire International Business Machines Corporation (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; quantum computers; computer hardware and software; computer hardware and software for information technology analysis and data management; computer hardware and software for application development; computer hardware and software for cloud computing; computer hardware and software for cognitive computing; computer hardware and software for artificial intelligence; computer hardware and software for blockchain technology; computer hardware and software for quantum computing and quantum programming; computer hardware, namely, magnetic tape units (data processing), magnetic tapes, printed circuits, integrated circuits, computer keyboards, compact disks (audio-video), optical disks, couplers (data processing), diskettes, magnetic data carriers; computer hardware, namely, video screens, scanners (data processing equipment), computer printers, interfaces (data processing), readers (data processing), software (recorded programs), microprocessors, modems, monitors (hardware), computers, computer memories, computer peripherals; computer adapters; computer components; data processing equipment; data processing equipment for data and information management; semiconductors; machine-readable electronic data media; magnetic disks; disk drives; tape recorders; calculating machines; cash registers; facsimile machines; video recorders; videotapes; electric cells and electric batteries; computer chips; boards for integrated circuits; computer accessories, namely, computer communication servers; computer carrying cases; computer interface boards; computer cables and computer cable parts; fax modem cards for computers; computer accessories, namely, screen filters, mouse pads, radio pagers, joysticks; electric converters, namely, digital-to-analog, analog-to-digital and step-by-step voltage switches; computer mice; integrated circuit cards and smart cards, adapters for integrated circuits and adapters for smart cards; readers for integrated circuit cards and smart cards; microcomputers; electrical power supplies; projectors (projection apparatus); remote controls for computers; inverters, surge protectors and uninterruptible power supplies; point-of-sale terminals (payment terminals); computer servers; computer storage devices, namely high-speed storage subsystems for storage and backup of electronic data either locally or via a telecommunication network; recorded and downloadable computer programs and software; video game software; operating system software and programs; software used for accessing a global computer network; document management software; database management software; software used for locating, retrieving and receiving text, electronic documents, graphics and audiovisual information on enterprise-wide internal computer networks and local and wide-area global computer networks; software used for software development and web authoring and user manuals in electronic format sold as a unit with these products; computer software for use in controlling the operation and execution of computer systems, programs, and computer networks; computer software for use in connecting disparate computer networks and systems, computer servers and storage devices; computer programs for linking computers together and for enabling computer activities across a global computer network; computer software for managing systems, software and processes that exist within an information technology environment; computer systems combining computer hardware and software for use in management and analysis of data and instruction manuals in electronic format sold with these products; cloud computing systems, namely networks integrating computer hardware and software for dynamic provisioning, virtualization and consumption metering of computer resources; recorded and downloadable cloud computing software for deploying and managing virtual machines on a cloud computing platform; computer systems, namely, computer hardware and computer software for developing and integrating artificial intelligence, namely, machine learning, deep learning and natural language processing which are capable of collecting, organizing and analyzing data; computer systems, namely, computer hardware and computer software for integrating Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) which is capable of understanding general human queries and formulating responses; software for developing, building and operating blockchain applications; computer hardware and computer software for developing and testing quantum algorithms; documentation and instruction manuals recorded on machine-readable electronic data media and relating to computers or computer programs; electronic publications, downloadable; electronic publications on computer media, namely, user manuals, guide books, brochures, information sheets, written presentations and teaching materials in the field of computing, computer networks, computer storage, computer operating systems, information technology, database management, cloud computing, artificial intelligence, blockchain technology and quantum computing. Advertising; sales promotion services (for third parties); commercial business management and advice regarding commercial business management; business information; distribution of prospectuses; distribution of samples; arranging newspaper subscriptions for third parties; accounting; document reproduction; systematization of data in a central file; organization of exhibitions for commercial or advertising purposes; business management consulting services and business consulting services; business development service; analysis of market research data and statistics; electronic data processing; computer data processing services for artificial intelligence; computer data processing services for cognitive computing; computer data processing services for cloud computing; computer data processing services for blockchain technology; computer data processing services for data management; computer data processing services for quantum computing and quantum programming; arranging and conducting trade show exhibitions in the field of computers, computer services, information technology, artificial intelligence, cloud computing, blockchain technology, quantum computing, database management and electronic business transactions via a global computer network; business consulting services for companies regarding artificial intelligence; business consulting services for companies regarding computer systems that integrate Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) functions and capable of understanding general human queries and formulating responses; business consulting services for companies relating to cloud computing; business consulting services for companies regarding blockchain technology; business consulting services for companies regarding quantum computing, quantum programming and for developing and testing quantum algorithms; business consulting services for companies regarding information technology; analyzing and compiling business data; systemization of data in computer databases; business management consultancy in the field of information technology; advisory services for companies relating to business organization; organizing and conducting incentive reward programs for companies and professionals in order to promote and reward company performance, productivity and recognition; organizing and conducting incentive reward programs to promote the sale of information technology; offering reward programs for companies and professionals through the distribution of loyalty points with the aim of promoting and rewarding loyalty; organizing and conducting (promotional) reward programs for customers, companies and professionals; provision of business information via a website. Computer programming; Software as a service (SaaS) services featuring software for data management; software as a service (SaaS) services featuring software for cloud computing; software as a service (SaaS) services featuring software for artificial intelligence; software as a service (SaaS) services featuring software for cognitive computing; software as a service (SaaS) services featuring software for blockchain technology; software as a service (SaaS) services featuring software for quantum computing and quantum programming; software as a service (SaaS) services featuring software for constructing, analyzing and running quantum programs and quantum algorithms; software as a service (SaaS) services featuring software for developing and testing quantum algorithms; computer programming and computer consulting services for artificial intelligence; computer programming and computer consulting services for cognitive computing; computer programming and computer consulting services for information management; computer programming and computer consulting services for data management; computer programming and computer consulting services for cloud computing; computer programming and computer consulting services for blockchain technology; computer programming and computer consulting services for quantum computing; computer programming and computer consulting services for software as a service (SaaS); design, installation, updating and maintenance of software; computer software and hardware design for the benefit of third parties, and professional advisory services in the field of computers; technical support services, namely, troubleshooting of computer program and software problems; computer services, namely, design, creation and maintenance of websites for third parties; computer systems analysis, database and network integration, computer programming for third parties, all for use in commercial interactions over global computer networks; design of systems for interconnection of computers and software, namely, electronic connection of computers and software to each other; computer software and hardware testing services (quality and technical controls); technical project studies in the field of computer hardware and software; consultancy services in the field of computer hardware, namely consultancy regarding computing research and development; computer advice and assistance concerning Internet use; rental of computers and software; scientific and industrial research, namely research and development of new products, biological research, bacteriological research, chemical research, cosmetology research, mechanical research, geological research, technological research, pharmaceutical research, scientific research for medical purposes; information technology consulting; computer system integration services; consulting services in the field of design, selection, implementation and use of computer hardware and software systems for third parties; technical support services, namely, troubleshooting computer program problems; computer system design services for third parties; design of systems for interconnection of computers and computer programs, namely, integration of computer systems and computer networks; computer program and computer hardware testing services, namely testing of software, computers and servers to ensure proper functioning thereof; cloud computing services, namely, integrated computer hardware and network software services for dynamic provisioning, virtualization, and consumption metering of computer resources; providing virtual computer systems and virtual computer environments through cloud computing; design and development of software for cloud storage of data; cloud computing hosting provider services; electronic storage of electronic data and data recovery; data security service; computer support services with respect to computer programs provided by computer specialists; design of computer hardware for computer networks; providing information relating to information technology via a website; technical support services, namely computer hardware problem solving.

6.

IBM Z NETVIEW

      
Numéro d'application 1783917
Statut Enregistrée
Date de dépôt 2024-01-08
Date d'enregistrement 2024-01-08
Propriétaire International Business Machines Corporation (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Recorded and downloadable computer software for controlling the operations and execution of computer systems, programs and computer networks; recorded and downloadable computer software for connecting disparate computer networks and systems, servers and storage devices; recorded and downloadable operating system software; recorded and downloadable computer software for linking together computers and for enabling computing across a global computer network; recorded and downloadable computer software for system management; recorded and downloadable computer software for managing hardware, software and processes that exist within an information technology environment; computer systems combining hardware and recorded and downloadable software for management and analysis of data and instructional manuals sold as a unit with these products; cloud computing systems, namely network integrating computer hardware and recorded and downloadable software for dynamic provisioning, virtualization and consumption metering of computer resources; recorded and downloadable cloud-computing software for deploying and managing virtual machines to a cloud computing platform; recorded and downloadable computer software for developing, building and operating blockchain applications; recorded and downloadable electronic publications on computer media, namely, user manuals, guides, brochures, information sheets, written presentations and teaching materials, in the field of computers, computer networks, computer storage, computer operating systems, information technology, database management, cloud computing, artificial intelligence, blockchain technology and quantum computing; recorded and downloadable software for the maintenance and automation of complex, multi-provider and multi-platform networks; recorded and downloadable computer software for managing automated operations; recorded and downloadable computer software for systems automation, network and management; recorded and downloadable computer software for high availability and coherent management of operations; downloadable and recorded computer software for maximizing the availability of company critical services; software for centralized management of network environments as a result of Internet protocols, namely, all protocols used to transfer data over the Internet (TCP/IP); software for centralized management of layered network architecture (systems network architecture - SNA) environments. Software as a service (SaaS) services featuring software for data management; software as a service (SaaS) services featuring software for cloud computing; software as a service (SaaS) services featuring software for artificial intelligence; software as a service (SaaS) services featuring software for cognitive computing; software as a service (SaaS) services featuring software for blockchain technology; software as a service (SaaS) services featuring software for quantum computing and quantum programming; software as a service (SaaS) services featuring software for constructing, analyzing and running quantum programs and quantum algorithms; software as a service (SaaS) services featuring software for developing and testing quantum algorithms; computer system integration services; computer technology consultation services; advisory services in the field of the design, selection, implementation and use of computer hardware, recordable and downloadable software and software as a service (SaaS) systems for third parties; technical support services, namely, troubleshooting in the nature of diagnosing problems with computer hardware, computer servers, recorded and downloadable computer software and software as a service (SaaS); computer system design services for third parties; computer system analysis; interconnection of computer hardware and recorded and downloadable software, namely, integration of computer systems and networks; services for testing computers, servers, computer hardware, recorded and downloadable computer software and software as a service (SaaS) to ensure proper functioning; installation, updating and maintenance of recorded and downloadable computer software; computer programming for third parties; consulting services in the field of artificial intelligence; consulting services in the field of blockchain technology; consulting services in the field of information technology; consulting services in the field of data management; consulting services in the field of cloud computing; consulting services in the field of quantum computing; consulting services in the field of software as a service (SaaS); computer services, namely, integration of private and public cloud computing environments comprising integrated computer hardware and recorded and downloadable software network services for dynamic provisioning, virtualization and consumption metering of computer resources; providing virtual computer systems and virtual computer environments through cloud computing; design and development of recorded and downloadable computer software for cloud storage of data; cloud hosting provider services; electronic storage of data and recovery of computer data; data security services.

7.

CICS

      
Numéro d'application 1782125
Statut Enregistrée
Date de dépôt 2024-02-12
Date d'enregistrement 2024-02-12
Propriétaire International Business Machines Corporation (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computer hardware and recorded and downloadable computer software for information technology analysis and database management; computer hardware and recorded and downloadable computer software for application development; computer hardware and recorded and downloadable computer software for cloud computing; recorded and downloadable computer hardware and computer software for artificial intelligence; computer hardware and recorded and downloadable computer software for cognitive computing; computer servers; recorded and downloadable computer software for managing hardware, software and processes that exist within an information technology environment; computer systems combining hardware and recorded and downloadable software for management and analysis of data and instructional manuals sold as a unit with these products; computer systems, namely, computer hardware and recorded and downloadable computer software for developing and integrating artificial intelligence, namely, machine learning, deep learning and natural language processing which is capable of collecting, organizing and analyzing data; computer systems, namely, computer hardware and recorded and downloadable computer software for integrating Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) which is capable of understanding general human queries; recorded and downloadable electronic publications on computer media, namely, user manuals, guides, brochures, information sheets, written presentations and teaching materials, in the field of computers, computer networks, computer storage, computer operating systems, information technology, database management, cloud computing, artificial intelligence, blockchain technology and quantum computing. Software as a service (SaaS) services featuring software for data management; software as a service (SaaS) services featuring software for cloud computing; software as a service (SaaS) services featuring software for artificial intelligence; software as a service (SaaS) services featuring software for cognitive computing; software as a service (SaaS) services featuring software for blockchain technology; software as a service (SaaS) services featuring software for quantum computing and quantum programming; software as a service (SaaS) services featuring software for constructing, analyzing and running quantum programs and quantum algorithms; software as a service (SaaS) services featuring software for developing and testing quantum algorithms; computer system integration services; computer technology consultation services; consulting services in the field of design, selection, implementation and use of computer hardware, recordable and downloadable software and software as a service (SaaS) systems for third parties; technical support services, namely, troubleshooting in the nature of diagnosing problems with computer hardware, computer servers, recorded and downloadable computer software and software as a service (SaaS); computer system design services for third parties; computer system analysis; interconnection of computer hardware and recorded and downloadable software, namely, integration of computer systems and networks; services for testing computers, servers, computer hardware, recorded and downloadable computer software and software as a service (SaaS) to ensure proper functioning; installation, updating and maintenance of recorded and downloadable computer software; computer programming for third parties; consulting services in the field of artificial intelligence; consulting services in the field of blockchain technology; consulting services in the field of information technology; consulting services in the field of data management; consulting services in the field of cloud computing; consulting services in the field of quantum computing; consulting services in the field of software as a service (SaaS); computer services, namely, integration of private and public cloud computing environments comprising integrated computer hardware and recorded and downloadable software network services for dynamic provisioning, virtualization and consumption metering of computer resources; providing virtual computer systems and virtual computer environments through cloud computing; design and development of recorded and downloadable computer software for cloud storage of data; cloud hosting provider services; electronic storage of data and recovery of computer data; data security services.

8.

IBM QUANTUM SAFE

      
Numéro d'application 1782231
Statut Enregistrée
Date de dépôt 2024-02-05
Date d'enregistrement 2024-02-05
Propriétaire International Business Machines Corporation (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 41 - Éducation, divertissements, activités sportives et culturelles
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computer hardware for quantum computing; computer software for quantum computing; computer hardware and computer software for data processing in the fields of information technology, cloud computing, artificial intelligence, computer simulations and quantum computing; downloadable electronic publications in the nature of books, brochures, information sheets, instruction manuals, presentations, instructional and teaching materials, press releases, newsletters, reviews, technical reports, teaching material and training material in the field of information technology, cloud computing, artificial intelligence, computer simulations and quantum computing; computer hardware and software enabling access to a quantum computer; downloadable software for constructing, analyzing, testing, programming and running programs, algorithms, instruction languages and applications on a quantum computer; downloadable computer software for converting a computer code to read on a quantum computer; user interfaces, namely, keyboards, electronic control panels and touchscreens for controlling and reading information from a quantum computer; downloadable computer software for simulating a quantum computer; downloadable software for using quantum computers in applications. Educational services, namely, conducting and organizing courses, seminars, conferences, webinars and workshops in the fields of quantum computing, quantum science, quantum materials, quantum devices and quantum research; training services in the fields of quantum computing, quantum science, quantum materials, quantum devices and quantum research. Computer services, namely, computer programming, computer system integration services, software development and computer systems analysis in the fields of information technology, cloud computing, artificial intelligence, computer simulations and quantum computing; computer consulting services, namely, advice with respect to software, advice in the field of cloud computing and computer programming advice in the fields of information technology, cloud computing, artificial intelligence, computer simulations, and quantum computing; technical support services, namely, troubleshooting with respect to computer systems and diagnosing computer hardware and software problems in the fields of information technology, cloud computing, artificial intelligence, computer simulations and quantum computing; computer programming for third parties in the fields of information technology, cloud computing, artificial intelligence, computer simulations and quantum computing; software and computer hardware design services for quantum computing; quantum computing services, namely, computing using different physical phenomena, such as overlaying, entanglement and interference for storing and processing data and information; consultancy in the field of quantum computing, namely, information technology from different physical phenomena, such as overlaying, entanglement and interference for storing and processing data and information; designing computer hardware and software for cognitive computing; consultancy in the field of cognitive computing, namely, simulating human thought processes in a computerized model; research, development and advisory services relating to information technology, cloud computing, artificial intelligence, computer simulations and quantum computing.

9.

OXYGEN TUBING AFFIXING DEVICE

      
Numéro d'application 17934643
Statut En instance
Date de dépôt 2022-09-23
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Katz, Jessica
  • King, Tyler Nicole

Abrégé

A flexible ear cuff, configured to receive an oxygen tube and the flexible ear cuff is shaped to nestle between a pinna of an ear and a head of a patient. Thus, the flexible ear cuff may be used to secure the oxygen tube to the head of a patient.

Classes IPC  ?

  • A61M 16/06 - Masques respiratoires ou pour l'anesthésie
  • A61M 16/00 - Dispositifs pour agir sur le système respiratoire des patients par un traitement au gaz, p.ex. bouche-à-bouche; Tubes trachéaux

10.

SECURITY THREAT DETECTION USING COLLABORATIVE INTELLIGENCE

      
Numéro d'application 17934640
Statut En instance
Date de dépôt 2022-09-23
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Lin, June-Ray
  • Madineni, Narayana Aditya

Abrégé

One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to generating a security threat prediction. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a prediction component that analyzes a public data graph model to generate a primary security threat determination, wherein the prediction component can further generate a secondary security threat prediction based on the primary security threat determination and on a proprietary data graph model, wherein the proprietary data graph model comprises proprietary security threat data from a source, and wherein the proprietary security threat data has been scrubbed of source-identifiers. An obtaining component can obtain an agreement from the source to share the proprietary security threat data with another source that has access to the proprietary data graph model.

Classes IPC  ?

  • G06F 21/56 - Détection ou gestion de programmes malveillants, p.ex. dispositions anti-virus
  • G06N 7/00 - Agencements informatiques fondés sur des modèles mathématiques spécifiques

11.

HIERARCHICAL DATA SKIPPING USING DATA SKETCHES

      
Numéro d'application 17934440
Statut En instance
Date de dépôt 2022-09-22
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Srivatsa, Mudhakar
  • Ganti, Raghu Kiran
  • Rosenkranz, Joshua M.
  • Chu, Linsong
  • Hoang Trong, Tuan Minh
  • Mangla, Utpal
  • Sadagopan, Satishkumar
  • Thomas, Mathews

Abrégé

A computer implemented method performs data skipping in a hierarchically organized computing system. A group of processor units determines leaf node data sketches for data in leaf nodes in the hierarchically organized computing system. The leaf node data sketches summarize attributes of data in the leaf nodes. The group of processor units aggregates the leaf node data sketches at intermediate nodes in the hierarchically organized computing system to form aggregated data sketches at the intermediate nodes and retains data sketches received at the intermediate nodes from a group of child nodes to form retained data sketches. The retained data sketches are one of leaf node data sketches and the aggregated data sketches. The group of processor units searches the data using the retained data sketches and the data skipping within the hierarchically organized computing system in response to queries made to the intermediate nodes in the hierarchically organized computing system.

Classes IPC  ?

  • G06F 16/22 - Indexation; Structures de données à cet effet; Structures de stockage
  • G06F 16/2455 - Exécution des requêtes
  • G06F 16/28 - Bases de données caractérisées par leurs modèles, p.ex. des modèles relationnels ou objet

12.

PHASE CHANGE MEMORY CELL SIDEWALL HEATER

      
Numéro d'application 17934212
Statut En instance
Date de dépôt 2022-09-22
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Li, Juntao
  • Cheng, Kangguo
  • Radens, Carl
  • Chen, Ching-Tzu

Abrégé

A phase change memory structure with improved sidewall heater and formation thereof may be presented. Phase change materials are capable of being switched between a first structural state in which the material is in a generally amorphous solid phase, and a second structural state in which the material is in a generally crystalline solid phase in the active region of the cell. Presented herein may be a side wall heater, where the upper section extends through bilayer dielectric to contact a phase change material layer and the lower section of the sidewall heater has conductive layers in contact with the bottom electrode. The width of the sidewall heater may reflect an inverted T shape reducing the current requirement to reset the phase change material.

Classes IPC  ?

  • H01L 45/00 - Dispositifs à l'état solide spécialement adaptés pour le redressement, l'amplification, la production d'oscillations ou la commutation, sans barrière de potentiel ni barrière de surface, p.ex. triodes diélectriques; Dispositifs à effet Ovshinsky; Procédés ou appareils spécialement adaptés à la fabrication ou au traitement de ces dispositifs ou de leurs parties constitutives
  • H01L 27/24 - Dispositifs consistant en une pluralité de composants semi-conducteurs ou d'autres composants à l'état solide formés dans ou sur un substrat commun comprenant des composants à l'état solide pour le redressement, l'amplification ou la commutation, sans barrière de potentiel ni barrière de surface

13.

EPI GROWTH UNIFORMITY WITH SOURCE/DRAIN PLACEHOLDER

      
Numéro d'application 17934226
Statut En instance
Date de dépôt 2022-09-22
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Xie, Ruilong
  • Schmidt, Daniel
  • Kang, Tsung-Sheng
  • Reznicek, Alexander

Abrégé

A semiconductor device includes a nanosheet stack on a substrate. A first source/drain is on a first side of the nanosheet stack and a second source/drain is on an opposing side of the nanosheet stack. A backside contact includes a first contact end on a first end of the first source/drain and an opposing second contact end in electrical communication with a backside power distribution network. A frontside contact includes a first contact end on a first end of the second source/drain and an opposing second contact end in electrical communication with a backend of line (BEOL) interconnect. A placeholder extends from an opposing second end of the second source/drain.

Classes IPC  ?

  • H01L 29/06 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices
  • H01L 21/8234 - Technologie MIS
  • H01L 23/48 - Dispositions pour conduire le courant électrique vers le ou hors du corps à l'état solide pendant son fonctionnement, p.ex. fils de connexion ou bornes
  • H01L 29/08 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices avec des régions semi-conductrices connectées à une électrode transportant le courant à redresser, amplifier ou commuter, cette électrode faisant partie d'un dispositif à semi-conducteur qui comporte trois électrodes ou plus
  • H01L 29/66 - Types de dispositifs semi-conducteurs
  • H01L 29/775 - Transistors à effet de champ avec un canal à gaz de porteurs de charge à une dimension, p.ex. FET à fil quantique
  • H01L 29/786 - Transistors à couche mince

14.

BURIED POWER RAIL DIRECTLY CONTACTING BACKSIDE POWER DELIVERY NETWORK

      
Numéro d'application 17935331
Statut En instance
Date de dépôt 2022-09-26
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Ghosh, Somnath
  • Lie, Fee Li
  • Xie, Ruilong
  • Choi, Kisik

Abrégé

An approach to form a semiconductor structure with a plurality of buried power rails in a semiconductor substrate where at least one buried power rail extends below the backside of the semiconductor substrate. The semiconductor structure provides at least one portion of the first metal layer of the backside power delivery network that surrounds a bottom portion of the buried power rail below the backside of the semiconductor substrate. The bottom portion of the buried power rail is in direct contact with the portion of the first metal layer of the backside power delivery network where the buried power rail and the first metal layer are composed of the same conductive material. The semiconductor structure includes a portion of an interlayer dielectric material isolating the first metal layer of the backside power distribution network from the backside of the semiconductor substrate.

Classes IPC  ?

  • H01L 23/528 - Configuration de la structure d'interconnexion
  • H01L 21/8234 - Technologie MIS
  • H01L 23/48 - Dispositions pour conduire le courant électrique vers le ou hors du corps à l'état solide pendant son fonctionnement, p.ex. fils de connexion ou bornes
  • H01L 23/522 - Dispositions pour conduire le courant électrique à l'intérieur du dispositif pendant son fonctionnement, d'un composant à un autre comprenant des interconnexions externes formées d'une structure multicouche de couches conductrices et isolantes inséparables du corps semi-conducteur sur lequel elles ont été déposées

15.

SINGLE CORNER MIXED VOLTAGE NOISE IMPACT ON FUNCTION ANALYSIS

      
Numéro d'application 17934239
Statut En instance
Date de dépôt 2022-09-22
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Kurtz, Steven Joseph
  • Sitko, Michael Henry
  • Rao, Rahul M.
  • Upreti, Sanjay
  • Chandrasekaran, Ajith Kumar Madathil

Abrégé

A method, system, and computer program product are disclosed for implementing enhanced noise impact on function (NIOF) analysis of an IC design having nets in multiple different variable voltage domains next to each other and modeling all multiple worst-case victim-aggressor voltage configurations in a single run leveraging noise abstracts characterized at a single voltage corner. The NIOF analysis enables accurately identifying incorrect victim switching or functional fails, effectively and efficiently providing design verification and the ability to sign-off an IC design with a single run, and enable modifying an integrated circuit design to fix NIOF failures, and fabricating an integrated circuit.

Classes IPC  ?

  • G06F 30/327 - Synthèse logique; Synthèse de comportement, p.ex. logique de correspondance, langage de description de matériel [HDL] à liste d’interconnections [Netlist], langage de haut niveau à langage de transfert entre registres [RTL] ou liste d’interconnections [Netlist]
  • G06F 30/337 - Optimisation de la conception

16.

CHAIN OF VIRTUAL REALITY (VR) CONTENT SHARING WITH ACTIVITY INFORMATION

      
Numéro d'application 17935348
Statut En instance
Date de dépôt 2022-09-26
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Perumalla, Saraswathi Sailaja
  • Rakshit, Sarbajit K.
  • Mazumdar, Sugata

Abrégé

Provided are techniques for chain of virtual reality content sharing with activity information. A first Virtual Reality (VR) content is received from a first node in a chain of nodes, wherein the first VR content includes a first avatar and interaction of the first avatar with the first VR content. It is determined whether a second user is interacting with the first VR content at a second node in the chain of nodes. In response to determining that the second user is interacting with the first VR content, a second VR content is created with an incremental update to the first VR content by: creating a second avatar and adding the second avatar and interaction of the second avatar with the first VR content to the first VR content. The second VR content is sent to a third node in the chain of nodes.

Classes IPC  ?

  • G06T 19/00 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie
  • G06T 13/40 - Animation tridimensionnelle [3D] de personnages, p.ex. d’êtres humains, d’animaux ou d’êtres virtuels
  • G06T 19/20 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie Édition d'images tridimensionnelles [3D], p.ex. modification de formes ou de couleurs, alignement d'objets ou positionnements de parties

17.

LOCAL FRONTSIDE POWER RAIL WITH GLOBAL BACKSIDE POWER DELIVERY

      
Numéro d'application 17935582
Statut En instance
Date de dépôt 2022-09-27
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Lanzillo, Nicholas Anthony
  • Chu, Albert M.
  • Anderson, Brent A.
  • Clevenger, Lawrence A.
  • Xie, Ruilong
  • Vega, Reinaldo

Abrégé

A method for forming a semiconductor device includes forming a front side of the semiconductor device, the front side comprising a metal wire M2, and a plurality of power rails coupled to the M2. Further, the method includes forming a through silicon via (TSV) from a back side of the semiconductor device to the front side, the TSV connecting a first power rail of the front side with a metal wire M1 on the back side. Further, the method includes forming a power delivery network on the back side, the TSV providing power from the power delivery network to the front side.

Classes IPC  ?

  • H01L 23/528 - Configuration de la structure d'interconnexion
  • H01L 21/8234 - Technologie MIS
  • H01L 23/48 - Dispositions pour conduire le courant électrique vers le ou hors du corps à l'état solide pendant son fonctionnement, p.ex. fils de connexion ou bornes
  • H01L 23/522 - Dispositions pour conduire le courant électrique à l'intérieur du dispositif pendant son fonctionnement, d'un composant à un autre comprenant des interconnexions externes formées d'une structure multicouche de couches conductrices et isolantes inséparables du corps semi-conducteur sur lequel elles ont été déposées

18.

EFFICIENT PLACEMENT OF SERVERLESS WORKLOADS ON TRANSIENT INFRASTRUCTURE ON POLICY-DRIVEN RE-LOCATION

      
Numéro d'application 17934249
Statut En instance
Date de dépôt 2022-09-22
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Regge, Enrico
  • Beck, Michael
  • Schuetz, Werner
  • Gerstl, Peter
  • Moser, Simon Daniel
  • Agrawal, Sugandha

Abrégé

A computer-implemented method for executing a serverless workload on a transient infrastructure is disclosed. The method comprises receiving a request for executing a workload and at least one policy, selecting an infrastructure component of the transient infrastructure for an execution of the workload, wherein the transient infrastructure is implemented utilizing a plurality of geographically distributed computing nodes, and executing the workload on the transient infrastructure. Furthermore, the method comprises upon receiving an interfering event during the execution of the workload causing a stop of the workload execution, freezing the execution of the workload, storing intermediate results and statuses of the workload execution in a cross-domain storage system, terminating the execution of the workload, and continuing the workload execution using the intermediate results and under a constraint defined by the at least one policy.

Classes IPC  ?

  • G06F 9/50 - Allocation de ressources, p.ex. de l'unité centrale de traitement [UCT]
  • H04L 67/568 - Stockage temporaire des données à un stade intermédiaire, p.ex. par mise en antémémoire

19.

REDUCTION OF DATA TRANSMISSION AND DATA STORAGE USING NEURAL NETWORK TECHNOLOGY

      
Numéro d'application 17935183
Statut En instance
Date de dépôt 2022-09-26
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Moatti, Yosef
  • Khazma, Guy
  • Ta-Shma, Paula Kim

Abrégé

A hub of a computing environment obtains a training set from an edge of the computing environment. The training set that is obtained includes data from the edge and is used to train a neural network at the hub. The training of the neural network provides a detector and a generator at the hub. A determination is made as to whether the training of the neural network is complete. Based on determining that the training of the neural network is complete, the detector is sent to the edge. The detector at the edge is to facilitate suppression of additional edge data to the hub based on the detector at the edge determining that the additional edge data is statistically similar, based on one or more selected criteria, to data used to train the neural network.

Classes IPC  ?

20.

KNOWLEDGE EXPANSION FOR IMPROVING MACHINE LEARNING

      
Numéro d'application 17935198
Statut En instance
Date de dépôt 2022-09-26
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Verma, Dinesh C.
  • Le, Franck Vinh
  • Merler, Michele
  • Joshi, Dhiraj
  • Chakraborty, Supriyo
  • Calo, Seraphin Bernard

Abrégé

A system may receive an existing base set of knowledge, train a neural network on the base set of knowledge, deploy the neural network on a new data set, generate, using the deployment, instances of new knowledge, and validate the instances of new knowledge.

Classes IPC  ?

  • G06N 3/08 - Méthodes d'apprentissage
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques

21.

Dynamic Control of Message Expiry by Messaging Middleware

      
Numéro d'application 17935199
Statut En instance
Date de dépôt 2022-09-26
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Shah, Amar
  • Darbha, Venkata Kiran Kumar

Abrégé

Dynamically controlling message expiry is provided. A message located in a message queue that has an expiry value and a dynamic expiry value set by a message producer in a header of the message is tracked. It is determined that the message is eligible for extension of the expiry value based on the dynamic expiry value being set to a particular value. An amount of time before a message consumer can process the message is determined based on one or more factors. The expiry value of the message is extended to form an extended expiry value in response to determining that the message is likely to expire in the message queue prior to the message consumer processing the message based on the one or more factors.

Classes IPC  ?

  • G06F 9/54 - Communication interprogramme
  • H04L 69/22 - Analyse syntaxique ou évaluation d’en-têtes

22.

SEMICONDUCTOR BACKSIDE TRANSISTOR INTEGRATION WITH BACKSIDE POWER DELIVERY NETWORK

      
Numéro d'application 17934913
Statut En instance
Date de dépôt 2022-09-23
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Xie, Ruilong
  • Edelstein, Daniel Charles
  • Joshi, Rajiv
  • Ramachandran, Ravikumar
  • Miller, Eric

Abrégé

A semiconductor structure includes a front-end-of-line level including a plurality of field effect transistors electrically connected to a back-end-of-line interconnect level. The back-end-of-line interconnect level is located on a first side of the front-end-of-line level. A backside power rail is embedded within a backside interlayer dielectric located on a second side of the front-end-of-line level opposing the first side of the front-end-of-line level. The backside power rail is electrically connected to at least one field effect transistor of the plurality of field effect transistors. At least one backside field effect transistor is formed on a first semiconductor layer disposed, at least in part, above a passive device region. A first side of the passive device region is in contact with the first semiconductor layer and a second side of the passive device region, opposing the first side, is in contact with the back-end-of-line interconnect level.

Classes IPC  ?

  • H01L 23/528 - Configuration de la structure d'interconnexion
  • H01L 21/8234 - Technologie MIS
  • H01L 23/48 - Dispositions pour conduire le courant électrique vers le ou hors du corps à l'état solide pendant son fonctionnement, p.ex. fils de connexion ou bornes
  • H01L 23/522 - Dispositions pour conduire le courant électrique à l'intérieur du dispositif pendant son fonctionnement, d'un composant à un autre comprenant des interconnexions externes formées d'une structure multicouche de couches conductrices et isolantes inséparables du corps semi-conducteur sur lequel elles ont été déposées

23.

BEHAVIOR TREE-BASED SCRIPT GENERATION AND RECOMMENDATION

      
Numéro d'application 17934719
Statut En instance
Date de dépôt 2022-09-23
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Zhao, Jing
  • Wang, Xiao Yun
  • Chen, Si Yu
  • Liu, Jiang Yi
  • Deng, Jiangang

Abrégé

A method, system, and computer program product for script generation and recommendation from behavior trees are provided. The method receives a set of input commands within a programming interface. The set of input commands is parsed into a set of command parts. The set of input commands is normalized based on the set of command parts to generate a set of normalized commands. A set of behavior trees are generated based on the set of normalized commands and the set of parts. The method generates a set of command scripts based on the set of behavior trees.

Classes IPC  ?

24.

PROCESSOR CROSS-CORE CACHE LINE CONTENTION MANAGEMENT

      
Numéro d'application 17934731
Statut En instance
Date de dépôt 2022-09-23
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Cadigan, Jr., Michael Joseph
  • Alexander, Gregory William
  • Berger, Deanna Postles Dunn
  • Bronson, Timothy
  • Shum, Chung-Lung K.
  • Tsai, Aaron

Abrégé

Embodiments are for processor cross-core cache line contention management. A computer-implemented method includes sending a cross-invalidate command to one or more caches based on receiving a cache state change request for a cache line in a symmetric multiprocessing system and determining a retry delay based on receiving a cross-invalidate reject response from at least one of the one or more caches. The computer-implemented method also includes waiting until a retry delay period associated with the retry delay has elapsed to resend the cross-invalidate command to the one or more caches and granting the cache state change request for the cache line based on receiving a cross-invalidate accept response from the one or more caches.

Classes IPC  ?

  • G06F 12/0891 - Adressage d’un niveau de mémoire dans lequel l’accès aux données ou aux blocs de données désirés nécessite des moyens d’adressage associatif, p.ex. mémoires cache utilisant des moyens d’effacement, d’invalidation ou de réinitialisation
  • G06F 12/0811 - Systèmes de mémoire cache multi-utilisateurs, multiprocesseurs ou multitraitement avec hiérarchies de mémoires cache multi-niveaux

25.

VEHICLE AND MOBILITY PATH RECOMMENDATIONS

      
Numéro d'application 17935814
Statut En instance
Date de dépôt 2022-09-27
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Marzorati, Mauro
  • Garcia Delgado, Carolina
  • Fox, Jeremy R.
  • Rakshit, Sarbajit K.

Abrégé

Techniques are provided for vehicle and mobility path recommendations. In one embodiment, the techniques involve identifying emergency response factors in historical telematics data, categorizing emergency situation outcomes based on the emergency response factors, identifying patterns between the emergency response factors and the emergency situation outcomes, generating a vehicle recommendation based on the identified patterns, determining a location of a vehicle referenced by the vehicle recommendation, generating a mobility path recommendation based on the vehicle recommendation and the location of the vehicle referenced by the vehicle recommendation, and transferring the vehicle recommendation and the mobility path recommendation to an emergency services entity.

Classes IPC  ?

  • B60W 60/00 - Systèmes d’aide à la conduite spécialement adaptés aux véhicules routiers autonomes
  • G07C 5/10 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente en utilisant des moyens de comptage ou des compteurs à horloge

26.

ENRICHING UNSTRUCTURED COMPUTER CONTENT WITH DATA FROM STRUCTURED COMPUTER DATA SOURCES FOR ACCESSIBILITY

      
Numéro d'application 17934760
Statut En instance
Date de dépôt 2022-09-23
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Drzewucki, Michael
  • Shek, Elinna
  • Frost, Keith Gregory
  • Ackermann, Christopher F.
  • Beller, Charles E.

Abrégé

A method for automatically annotating unstructured computer content associated with computer resources with additional contextual information from structured computer data sources is provided. The method may include, automatically identifying data elements within the unstructured computer content and matching extraction templates to the data elements. The method may further include automatically extracting an entity from the data elements using the extraction templates. The method may further include querying the structured computer data sources using the extracted entity to identify a data record in the structured computer data sources matching the entity. The method may further include extracting data from the data record and generating natural language text using the extracted data. The method may further include automatically annotating the unstructured computer content with the additional contextual information by inserting the generated natural language text into the unstructured computer content.

Classes IPC  ?

  • G06F 16/2453 - Optimisation des requêtes
  • G06F 16/248 - Présentation des résultats de requêtes
  • G06F 40/169 - Annotation, p.ex. données de commentaires ou notes de bas de page
  • G06F 40/40 - Traitement ou traduction du langage naturel

27.

HIGH DENSITY BACKSIDE CAPACITOR AND INDUCTOR

      
Numéro d'application 17935602
Statut En instance
Date de dépôt 2022-09-27
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Wu, Heng
  • Zhang, Chen
  • Sung, Min Gyu
  • Xie, Ruilong
  • Frougier, Julien

Abrégé

A semiconductor device a first device located on a frontside of a semiconductor substrate. The semiconductor device further includes an inductor located on a backside of the semiconductor substrate and integrated with a first backside metal (BSM) stack. The semiconductor device further includes a first electrical contact located between the frontside and the backside of the semiconductor substrate. A first end of the first electrical contact is connected to the first BSM stack and a second end of the first electrical contact is connected to a first source/drain region of the first device.

Classes IPC  ?

  • H01L 23/528 - Configuration de la structure d'interconnexion
  • H01L 21/768 - Fixation d'interconnexions servant à conduire le courant entre des composants distincts à l'intérieur du dispositif
  • H01L 23/48 - Dispositions pour conduire le courant électrique vers le ou hors du corps à l'état solide pendant son fonctionnement, p.ex. fils de connexion ou bornes
  • H01L 23/522 - Dispositions pour conduire le courant électrique à l'intérieur du dispositif pendant son fonctionnement, d'un composant à un autre comprenant des interconnexions externes formées d'une structure multicouche de couches conductrices et isolantes inséparables du corps semi-conducteur sur lequel elles ont été déposées

28.

MULTIPLEXED GRAPH NEURAL NETWORKS FOR MULTIMODAL FUSION

      
Numéro d'application 17933468
Statut En instance
Date de dépôt 2022-09-19
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Dsouza, Niharika
  • Syeda-Mahmood, Tanveer
  • Giovannini, Andrea
  • Foncubierta Rodriguez, Antonio

Abrégé

A computer implemented method includes transforming a set of received samples from a set of data into a multiplexed graph, by creating a plurality of planes, each plane having the set of nodes and the set of edges. Each set of edges is associated with a given relation type from the set of relation types. Message passing walks are alternated within and across the plurality of planes of the multiplexed graph using a graph neural network (GNN) layer. The GNN layer has a plurality of units where each unit outputs an aggregation of two parallel sub-units. Sub-units include a typed GNN layer that allows different permutations of connectivity patterns between intra-planar and inter-planar nodes. A task-specific supervision is used to train a set of weights of the GNN for the machine learning task.

Classes IPC  ?

  • G06N 3/08 - Méthodes d'apprentissage
  • G06N 3/04 - Architecture, p.ex. topologie d'interconnexion

29.

GENERATING TEST DATA FOR APPLICATION PERFORMANCE

      
Numéro d'application 17649535
Statut En instance
Date de dépôt 2022-01-31
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Tatunashvili, Anna
  • Bhattacharjee, Rupam
  • Satapathy, Siba Prasad
  • Jacob Sushil, George Thayyil
  • Fekiç, Jozef

Abrégé

In an approach to improve the extracting test datasets for testing and resource optimization, embodiments execute a test run on a full dataset of a job, and identify existing bottlenecks in the job through a run-time monitoring interface. Additionally, embodiments execute a run-time metrics analysis, a source code analysis, and a source data impact analysis of a distributed data processing engine executing a distributed data processing job, and generate, by an analysis and impact scoring engine, an impact scoring table of job transformations based on the source code analysis. Furthermore, embodiments generate data extraction rules based on the impact scoring table, and extract a test dataset based on the data extraction rules. Moreover, embodiments evaluate the data extraction rules against user defined thresholds, and prepare a representative test dataset, and output, through a user interface on a computing device, the representative test dataset to a user.

Classes IPC  ?

  • G06F 11/36 - Prévention d'erreurs en effectuant des tests ou par débogage de logiciel

30.

COMPRESSING OPERATION DATA FOR ENERGY SAVING

      
Numéro d'application 17934583
Statut En instance
Date de dépôt 2022-09-23
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Meng, Fan Jing
  • Luo, Cheng
  • Ye, Qi
  • Zhong, Jia Tian

Abrégé

A method, computer system, and a computer program product for data compression is provided. The present invention may include receiving operational data. The present invention may include profiling the operational data using one or more normalizing functions. The present invention may include extracting a plurality of patterns from the operational data. The present invention may include compressing the operational data based on the plurality of patterns extracted.

Classes IPC  ?

  • G06N 20/00 - Apprentissage automatique
  • G06F 16/28 - Bases de données caractérisées par leurs modèles, p.ex. des modèles relationnels ou objet
  • G06N 5/02 - Représentation de la connaissance; Représentation symbolique

31.

CONTENT TAGGING AND LIMITED SHARING

      
Numéro d'application 17935673
Statut En instance
Date de dépôt 2022-09-27
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Ramamoorthy, Varadarajan
  • Soroker, Danny
  • Lamb, Marshall Allen

Abrégé

According to one embodiment, a method, computer system, and computer program product for tagging and sharing limited views of content. The embodiment may include identifying one or more roles corresponding to one or more users. The embodiment may also include determining a set of tags corresponding to sections of a document. The embodiment may further include associating tags from the set of tags with associated roles from the one or more roles. The embodiment may also include filtering a view of the document for a user from the one or more users according to the tags from the set of tags, the associated roles, and a set of roles corresponding to the user. The embodiment may further include presenting the view of the document to the user.

Classes IPC  ?

  • G06F 21/62 - Protection de l’accès à des données via une plate-forme, p.ex. par clés ou règles de contrôle de l’accès
  • G06F 16/9035 - Filtrage basé sur des données supplémentaires, p.ex. sur des profils d'utilisateurs ou de groupes
  • G06F 16/9038 - Présentation des résultats des requêtes
  • G06F 16/93 - Systèmes de gestion de documents
  • G06F 21/60 - Protection de données
  • G06Q 20/36 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des portefeuilles électroniques ou coffres-forts électroniques

32.

DYNAMIC USER PROFILING BASED ON USAGE PATTERNS

      
Numéro d'application 17935220
Statut En instance
Date de dépôt 2022-09-26
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Pinto, Gerard Lawrence
  • Somavarapha, Lalit
  • Seul, Matthias

Abrégé

A method, computer program, and computer system are provided for resource allocation in a cloud computing environment. A request for resource allocation is received from a user in a cloud computing environment. A profile is determined for the user based on one or more metrics. A workload allocation is assigned to the user based on the determined profile matching one or more clusters of other users. A usage value of the assigned workload allocation to the user may be monitored. The user is immediately upgraded to a higher workload allocation based on the usage value exceeding a threshold value.

Classes IPC  ?

  • G06F 9/50 - Allocation de ressources, p.ex. de l'unité centrale de traitement [UCT]

33.

PRODUCT DEMAND USING FOOD RECIPE DATA

      
Numéro d'application 17935230
Statut En instance
Date de dépôt 2022-09-26
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Fox, Jeremy R.
  • Kwatra, Shikhar
  • Marvaniya, Smitkumar Narotambhai

Abrégé

Techniques are described with respect to a system, method, and computer product for improving product demand. An associated method includes generating a food profile based on a food inventory of a user the food inventory available to a computing device in a computer-accessible form; and identifying at least one food recipe based on the food profile, the food recipe available in a computer-accessible form. The method further includes determining a plurality of food items associated with the food inventory; identifying one or more absent food items associated with the at least one food recipe from the plurality of food items, the one or more absent food items being absent from the food inventory; and communicating to the user that the one or more absent food items are absent from the food inventory.

Classes IPC  ?

  • G06Q 30/06 - Transactions d’achat, de vente ou de crédit-bail

34.

SOCIALIZING BASED ON PERSONAL PROTECTIVE EQUIPMENT

      
Numéro d'application 17935242
Statut En instance
Date de dépôt 2022-09-26
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Ding, Yuan Yuan
  • Yuan, Zhong Fang
  • Liu, Tong
  • Zhao, Si Tong
  • Zhong, Yi Chen
  • Wang, Ziqiumin

Abrégé

Techniques are described with respect to a system, method, and computer product for enhancement of socialization between one or more individuals wearing personal protective equipment. An associated method includes identifying a plurality of social communications between one or more individuals wearing personal protective equipment (PPE) and assigning an identifier to a participant associated with at least one of the social communications. The method further includes analyzing content of the at least one social communication and generating an augmented reality (AR) based representation of the content for presentation on an augmented reality device associated with the user, the augmented reality device presenting the content for visualization replacing PPE based at least in-part on the identifier.

Classes IPC  ?

35.

EDGE CAPACITIVE COUPLING FOR QUANTUM CHIPS

      
Numéro d'application 17935023
Statut En instance
Date de dépôt 2022-09-23
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Kumph, Muir
  • Dial, Oliver
  • Cotte, John Michael
  • Abraham, David

Abrégé

A quantum computing chip device provides an edge based capacitive, intra-chip connection. A first chip includes a first signal line with a distal end positioned proximate to or on an edge of the first chip and a proximal end positioned away from the edge of the first chip. A second chip includes a second signal line with a distal end positioned proximate to or on an edge of the second chip and a proximal end positioned away from the edge of the second chip. The first signal line and the second signal line are configured to conduct a signal. The second signal line of the second chip is disposed in alignment for a capacitive bus connection to the first signal line of the first chip.

Classes IPC  ?

  • G06N 10/40 - Réalisations ou architectures physiques de processeurs ou de composants quantiques pour la manipulation de qubits, p.ex. couplage ou commande de qubit
  • H01R 12/72 - Dispositifs de couplage pour circuits imprimés rigides ou structures similaires se couplant avec la bordure des circuits imprimés rigides ou des structures similaires
  • H02J 50/05 - Circuits ou systèmes pour l'alimentation ou la distribution sans fil d'énergie électrique utilisant un couplage capacitif

36.

ASSISTING REMOTE EDUCATION LEARNERS

      
Numéro d'application 17935278
Statut En instance
Date de dépôt 2022-09-26
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Harishankar, Raman
  • Daley, Stan Kevin
  • Gupta, Shami
  • Chatterjee, Sabyasachi
  • Sengupta, Sandipan

Abrégé

Provided are techniques for assisting remote education learners. Data is collected for an actual base environment, a simulated base environment, and an exam environment for a learner taking an exam. The collected data is used to generate a first behavior pattern for the learner in the simulated base environment and a second behavior pattern for the learner in the exam environment. In response to the second behavior pattern deviating beyond a threshold from the first behavior pattern, a classification of non-cognitive learners class is determined for the learner. A de-bias technique is applied to the classification to generate a final classification. In response to the final classification being the non-cognitive learners class, education material for a subject covered in the exam is selected, and the educational material is played on a remote learner computer of the learner.

Classes IPC  ?

  • G09B 7/02 - Dispositifs ou appareils d'enseignement à commande électrique procédant par questions et réponses du type où l'élève doit donner une réponse à la question posée, ou bien où la machine donne une réponse à la question posée par l'élève
  • G06N 5/02 - Représentation de la connaissance; Représentation symbolique

37.

DETERMINING AN ASSIGNMENT OF VIRTUAL OBJECTS TO POSITIONS IN A USER FIELD OF VIEW TO RENDER IN A MIXED REALITY DISPLAY

      
Numéro d'application 17935077
Statut En instance
Date de dépôt 2022-09-23
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Kwatra, Shikhar
  • Marvaniya, Smitkumar Narotambhai
  • Fox, Jeremy R.

Abrégé

Provided are a computer program product, system, and method for determining an assignment of virtual objects to positions in a user field of view to render in a mixed reality display. A reward score for a virtual object is calculated based on an easiness score indicating an easiness to view the virtual object in previous interactions with the virtual object and frequency of interactions with the virtual object. The reward scores and the viewability scores for the positions are inputted into a virtual object placement program to output an assignment of the virtual objects to the positions. The assignment of the virtual objects to the positions are transmitted to the mixed reality display to cause the mixed reality display to render the virtual objects at the positions in the field of view of the user indicated in the assignment.

Classes IPC  ?

  • G06T 19/00 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie
  • G06T 15/20 - Calcul de perspectives

38.

INTERCONNECT STRUCTURE WITH INCREASED DECOUPLING CAPACITANCE

      
Numéro d'application 17935931
Statut En instance
Date de dépôt 2022-09-27
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Lanzillo, Nicholas Anthony
  • Chu, Albert M.
  • Clevenger, Lawrence A.

Abrégé

A semiconductor chip device includes a substrate with a first dielectric material of a first permittivity value. A power input line and ground line are positioned in the substrate and arranged to form a decoupling capacitor. A region of the substrate in between the power input line and the ground line is doped with a second dielectric material of a second permittivity value that is higher than the first permittivity value. The region doped with the second dielectric material lacks a signal body. By incorporating a region with higher permittivity, in what is generally unused space for power delivery, the region becomes a decoupling capacitor for nearby power delivery elements. By adding decoupling capacitance to the previously unused space, noise in a circuit is more easily controlled and the chip device becomes more reliable.

Classes IPC  ?

  • H01L 23/522 - Dispositions pour conduire le courant électrique à l'intérieur du dispositif pendant son fonctionnement, d'un composant à un autre comprenant des interconnexions externes formées d'une structure multicouche de couches conductrices et isolantes inséparables du corps semi-conducteur sur lequel elles ont été déposées
  • G06F 30/392 - Conception de plans ou d’agencements, p.ex. partitionnement ou positionnement
  • H01L 21/768 - Fixation d'interconnexions servant à conduire le courant entre des composants distincts à l'intérieur du dispositif
  • H01L 23/528 - Configuration de la structure d'interconnexion

39.

NEURAL LATTICE DEVICE FOR CHARACTERIZATION OF NEURON BEHAVIOR

      
Numéro d'application 17933509
Statut En instance
Date de dépôt 2022-09-20
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Mukesh, Sagarika
  • Holmes, Steven
  • Werner, John S.
  • Wunsch, Benjamin Hardy
  • Tsfasman, Arkadiy O.

Abrégé

A neural lattice device includes a substrate having formed therein one or more wells and one or more supply ducts. A channel network includes one or more channels configured to establish fluid communication among the at least one well and the at least one supply duct. A reservoir is coupled to the substrate and configured to hold a fluid, and a cover is disposed against an upper surface of the substrate and configured to hermetically seal the wells, the supply ducts and the channel network.

Classes IPC  ?

  • C12M 3/06 - Appareillage pour la culture de tissus, de cellules humaines, animales ou végétales, ou de virus avec des moyens de filtration, d'ultrafiltration, d'osmose inverse ou de dialyse
  • B81B 1/00 - Dispositifs sans éléments mobiles ou flexibles, p.ex. dispositifs capillaires microscopiques
  • B81C 1/00 - Fabrication ou traitement de dispositifs ou de systèmes dans ou sur un substrat
  • C12M 1/00 - Appareillage pour l'enzymologie ou la microbiologie
  • G01N 33/50 - Analyse chimique de matériau biologique, p.ex. de sang ou d'urine; Test par des méthodes faisant intervenir la formation de liaisons biospécifiques par ligands; Test immunologique

40.

LOCAL INTERCONNECT AT BACKSIDE TO ENABLE FLEXIBLE ROUTING ACROSS DIFFERENT CELL

      
Numéro d'application 17935928
Statut En instance
Date de dépôt 2022-09-27
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Xie, Ruilong
  • Kang, Tsung-Sheng
  • Schmidt, Daniel
  • Reznicek, Alexander

Abrégé

A semiconductor device includes a wafer having at least two source/drain (S/D) epi regions. A power rail is arranged on a backside of the wafer. A backside contact (BSCA) has a first portion including a backside local interconnect configured to connect the S/D epi regions together. A plurality of frontside signal wires are connected to the backside local interconnect through a first front side contact.

Classes IPC  ?

  • H01L 29/417 - Electrodes caractérisées par leur forme, leurs dimensions relatives ou leur disposition relative transportant le courant à redresser, à amplifier ou à commuter
  • H01L 21/768 - Fixation d'interconnexions servant à conduire le courant entre des composants distincts à l'intérieur du dispositif
  • H01L 23/528 - Configuration de la structure d'interconnexion
  • H01L 29/40 - Electrodes

41.

PERSONALIZED RISK AND REWARD CRITERIA FOR WORKFORCE MANAGEMENT

      
Numéro d'application 17934602
Statut En instance
Date de dépôt 2022-09-23
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Kuehnert, Julian Bertram
  • Remy, Sekou Lionel
  • Walcott, Aisha
  • Crawford, Catherine H.

Abrégé

A method, computer system, and a computer program product for integrating uncertainty quantifications into a long-term risk based calendar is provided. The present invention may include receiving data for an organization. The present invention may include generating a long-term risk based calendar using the data received for the organization. The present invention may include presenting the long-term risk based calendar to a plurality of user associated with the organization. The present invention may include providing one or more recommendations to at least one of the plurality of users.

Classes IPC  ?

  • G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projets; Planification d’entreprise ou d’organisation; Modélisation d’entreprise ou d’organisation
  • G06Q 10/10 - Bureautique; Gestion du temps

42.

DRONE-ASSISTED COMMUNICATIONS NETWORK

      
Numéro d'application 17934612
Statut En instance
Date de dépôt 2022-09-23
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Liu, Changchang
  • Lee, Wei-Han
  • Wang, Shiqiang
  • Calo, Seraphin Bernard
  • Verma, Dinesh C.

Abrégé

Computer-implemented methods for drone-assisted communications networks are provided. Aspects include collecting, from one or more sensing drones, signal strength information for a communications network in a geographic area and creating, based at least in part on the signal strength information, a signal strength map for the geographic area. Aspects also include deploying one or more networking drones into the geographic area, wherein a location of the one or more drones in the geographic area is determined based at least in part on the signal strength map. The one or more networking drones are configured to provide access to the communications network.

Classes IPC  ?

  • H04W 16/18 - Outils de planification de réseau
  • H04B 17/318 - Force du signal reçu
  • H04W 4/021 - Services concernant des domaines particuliers, p.ex. services de points d’intérêt, services sur place ou géorepères
  • H04W 24/08 - Réalisation de tests en trafic réel

43.

INTELLIGENT ASSIGNMENT OF ROBOTIC EDGE DEVICES IN AN EDGE COMPUTING ECOSYSTEM

      
Numéro d'application 17935956
Statut En instance
Date de dépôt 2022-09-28
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Mene, Atul
  • Keen, Martin G.
  • Agrawal, Tushar
  • Rakshit, Sarbajit K.
  • Fox, Jeremy R.

Abrégé

Provided is a computer-implemented method, system, and computer program product for intelligently assigning robotic edge devices to perform a task using an edge computing ecosystem. A processor may identify a plurality of robotic edge devices in a geographic location. The processor may determine attributes for each robotic edge device of the plurality of robotic edge devices. The processor may identify a task to be performed at the geographic location by the plurality of robotic edge devices. The processor may determine, based on the attributes, a subset of robotic edge devices that are capable of completing the task. The processor may assign the subset of robotic edge devices to complete the task.

Classes IPC  ?

  • G05D 1/02 - Commande de la position ou du cap par référence à un système à deux dimensions

44.

STACKED FET WITH THREE-TERMINAL SOT MRAM

      
Numéro d'application 17935966
Statut En instance
Date de dépôt 2022-09-28
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Hashemi, Pouya
  • Xie, Ruilong

Abrégé

Embodiments are disclosed for a three-terminal spin-orbit-torque (SOT) magnetoresistive random access memory (MRAM) device. The three-terminal SOT MRAM device includes a first type field effect transistor (FET) that drives an SOT line. Additionally, the first type FET includes a write gate in electrical contact with a write wordline (WWL). Further, the device also includes a second type FET in electrical contact with a magnetic tunnel junction (MTJ). Also, the second type FET comprises a read gate in electrical contact with a read wordline (RWL). Additionally, the first type FET is disposed above the second type FET. Further, the three-terminal SOT MRAM device provides a density of three contacted poly pitch (CPP) per two cells.

Classes IPC  ?

  • G11C 11/16 - Mémoires numériques caractérisées par l'utilisation d'éléments d'emmagasinage électriques ou magnétiques particuliers; Eléments d'emmagasinage correspondants utilisant des éléments magnétiques utilisant des éléments dans lesquels l'effet d'emmagasinage est basé sur l'effet de spin
  • H01L 27/22 - Dispositifs consistant en une pluralité de composants semi-conducteurs ou d'autres composants à l'état solide formés dans ou sur un substrat commun utilisant des effets de champ magnétique analogues
  • H01L 43/02 - Dispositifs utilisant les effets galvanomagnétiques ou des effets magnétiques analogues; Procédés ou appareils spécialement adaptés à la fabrication ou au traitement de ces dispositifs ou de leurs parties constitutives - Détails
  • H01L 43/08 - Résistances commandées par un champ magnétique
  • H01L 43/12 - Procédés ou appareils spécialement adaptés à la fabrication ou le traitement de ces dispositifs ou de leurs parties constitutives

45.

DERIVING AUGMENTED KNOWLEDGE

      
Numéro d'application 17946639
Statut En instance
Date de dépôt 2022-09-16
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Mahindru, Ruchi
  • Ghodasara, Ashish
  • Kumar, Harshit

Abrégé

Deriving augmented knowledge defining a knowledge base by extracting entities from a plurality of heterogeneous data sources; and augmenting the extracted entities; and utilizing an augmented entity to enhance a user activity.

Classes IPC  ?

  • G06N 5/02 - Représentation de la connaissance; Représentation symbolique

46.

IDENTIFYING OUTLIER APPLICATION CONNECTIONS TO SERVICES WITH CONTROLLED CONFIDENCE LEVEL AND IN REAL-TIME

      
Numéro d'application 17955109
Statut En instance
Date de dépôt 2022-09-28
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Rodniansky, Leonid
  • Butovsky, Tania
  • Shpak, Mikhail

Abrégé

Techniques for identifying outlier application connections for computer security are described. These techniques include identifying one or more connections between a client application and one or more services, over a communication network, and determining to switch from an outlier connection learning phase to an outlier connection detection phase based on the identified or more connections, including determining, in real-time and based on a confidence level and a number of previously analyzed connections, to switch to the outlier connection detection phase. The techniques further include determining, based on the switch to the outlier connection detection phase, that a first connection of the identified one or more connections is an outlier connection, and acting to reduce a security risk relating to the first connection.

Classes IPC  ?

  • H04L 9/40 - Protocoles réseaux de sécurité
  • H04L 41/16 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p.ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle
  • H04L 43/0811 - Surveillance ou test en fonction de métriques spécifiques, p.ex. la qualité du service [QoS], la consommation d’énergie ou les paramètres environnementaux en vérifiant la disponibilité en vérifiant la connectivité

47.

STRUCTURE TO FORM AND INTEGRATE HIGH VOLTAGE FINFET I/O DEVICE WITH NANOSHEET LOGIC DEVICE

      
Numéro d'application 17935992
Statut En instance
Date de dépôt 2022-09-28
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Siddiqui, Shahab
  • Bao, Ruqiang
  • Adams, Charlotte Dewan
  • Durfee, Curtis S.
  • Chou, Anthony I.
  • Linder, Barry Paul
  • Ramachandran, Ravikumar
  • Guo, Dechao

Abrégé

A semiconductor device includes a substrate having a first region and a second region separated from the first region by distance to define a space therebetween. A first semiconductor device including a gate dielectric is on the first region. The first semiconductor device can implement a FinFet-based input/output (I/O) device in the first region. A second semiconductor device excluding a gate dielectric is on the second region. The second semiconductor device can implement a nanosheet-based logic device in the second region.

Classes IPC  ?

  • H01L 29/06 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices
  • H01L 21/8234 - Technologie MIS
  • H01L 29/66 - Types de dispositifs semi-conducteurs
  • H01L 29/775 - Transistors à effet de champ avec un canal à gaz de porteurs de charge à une dimension, p.ex. FET à fil quantique
  • H01L 29/78 - Transistors à effet de champ l'effet de champ étant produit par une porte isolée

48.

MACHINE LEARNING-BASED DECISION FRAMEWORK FOR PHYSICAL SYSTEMS

      
Numéro d'application 17948620
Statut En instance
Date de dépôt 2022-09-20
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Phan, Dzung Tien
  • Nguyen, Lam Minh

Abrégé

Methods, systems, and computer program products for a decision-improvement framework are provided herein. A computer-implemented method includes obtaining regression functions that predict an output of processes of a physical system based on inputs received at each process; automatically generating one or more constraints and one or more objective functions for a model for the physical system based on the regression functions and a representation of the physical system, where the representation specifies relationships between at least a portion of the processes; identifying a set of parameter values for controlling the physical system based on the model; generating a score, for the set of parameter values, based on a predicted improvement of the physical system relative to historical performance of the physical system; and in response to the generated score satisfying a threshold, causing the physical system to be configured in accordance with the set of parameter values.

Classes IPC  ?

  • G05B 13/02 - Systèmes de commande adaptatifs, c. à d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques

49.

POLYESTER RECYCLING PROCESS WITH PRE-REACTION PURIFICATION

      
Numéro d'application 18377813
Statut En instance
Date de dépôt 2023-10-08
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Breyta, Gregory
  • Wojtecki, Rudy J.

Abrégé

A depolymerization reaction of a polyester input with an organocatalyst and an alcohol solvent produces (i) a recycled monomeric or oligomeric diester from the polyester, (ii) the organocatalyst for reuse, and (iii) the alcohol solvent, which may also be reused. The presence of volatile impurities, such as water, acetyl aldehyde, and organic solvents can interfere with the success of the depolymerization reaction. A pre-reaction distillation step removes volatile impurities from the polyester input resulting in an efficient depolymerization reaction with consistency among batches. The polyester input may be further treated with a water azeotrope to remove water from the polyester input prior to the pre-reaction distillation.

Classes IPC  ?

  • C08J 7/02 - Traitement chimique ou revêtement d'objets façonnés faits de substances macromoléculaires par des solvants, p.ex. par des agents gonflants
  • C08J 11/26 - Récupération ou traitement des résidus des polymères par coupure des chaînes moléculaires des polymères ou rupture des liaisons de réticulation par voie chimique, p.ex. dévulcanisation par traitement avec une substance organique par traitement avec des composés organiques contenant de l'oxygène contenant des groupes acide carboxylique, leurs anhydrides ou esters

50.

INTELLIGENT DYNAMIC CONDITION-BASED INFRASTRUCTURE MAINTENANCE SCHEDULING

      
Numéro d'application 17949731
Statut En instance
Date de dépôt 2022-09-21
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Murali, Pavankumar
  • Phan, Dzung Tien
  • Zhou, Nianjun
  • Nguyen, Lam Minh

Abrégé

In example aspects of this disclosure, a method includes generating, by one or more computing devices, a parametric model that expresses condition states for each of a plurality of assets, and the probability of the assets transitioning between the condition states; generating, by the one or more computing devices, stochastic degradation predictions of a group of the assets, based on the condition states and the probability of transitioning between the condition states for at least some of the assets; and generating, by the one or more computing devices, a maintenance schedule based on: the stochastic degradation predictions of the group of the assets, costs of corrective maintenance for assets in a failed state, and costs of scheduled maintenance for the assets.

Classes IPC  ?

  • G06F 11/07 - Réaction à l'apparition d'un défaut, p.ex. tolérance de certains défauts
  • G06F 11/00 - Détection d'erreurs; Correction d'erreurs; Contrôle de fonctionnement

51.

VERTICAL-TRANSPORT FIELD-EFFECT TRANSISTOR WITH BACKSIDE GATE CONTACT

      
Numéro d'application 17936202
Statut En instance
Date de dépôt 2022-09-28
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Anderson, Brent A.
  • Chu, Albert M.
  • Xie, Ruilong
  • Lanzillo, Nicholas Anthony
  • Clevenger, Lawrence A.
  • Vega, Reinaldo

Abrégé

A VTFET is on a wafer and a backside power delivery network is on a backside of the wafer. A first backside contact is connected to a gate of the VTFET and a first portion of the backside power delivery network. The VTFET has a first width and the first width is a contacted poly pitch (CPP). The first backside contact may be at least the first width from the VTFET. The first backside contact may be double the first width from the VTFET.

Classes IPC  ?

  • H01L 23/528 - Configuration de la structure d'interconnexion
  • H01L 29/417 - Electrodes caractérisées par leur forme, leurs dimensions relatives ou leur disposition relative transportant le courant à redresser, à amplifier ou à commuter
  • H01L 29/78 - Transistors à effet de champ l'effet de champ étant produit par une porte isolée

52.

REMANUFACTURING ORIENTATED OPERATIONS

      
Numéro d'application 17950758
Statut En instance
Date de dépôt 2022-09-22
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s) Dar Mousa, Nosaiba

Abrégé

Making real-time operational decisions for remanufacturing operations by receiving data on return product including analysis of return product quality, and configuring the return product meeting quality threshold to commodity level. At least one dynamic optimization models is developed from data on the return product. A plan is created for a remanufacturing-oriented process from the at least one dynamic optimization models. The dynamic plan declares all activists required to build final product including all alteration and other activities such as disassembly, assembly, quantity needed from each return and replenishment quantity of new commodity. A final product is matched to an inventory of return product based on the plan for the remanufacturing-oriented process to provide a configuration recommendation.

Classes IPC  ?

  • G06Q 10/00 - Administration; Gestion
  • G06Q 10/04 - Prévision ou optimisation spécialement adaptées à des fins administratives ou de gestion, p. ex. programmation linéaire ou "problème d’optimisation des stocks"
  • G06Q 10/08 - Logistique, p.ex. entreposage, chargement ou distribution; Gestion d’inventaires ou de stocks

53.

RESPIRATORY PROTECTIVE DEVICE DETECTION USING OPTICAL TAGGING AND IMAGE PROCESSING

      
Numéro d'application 17952929
Statut En instance
Date de dépôt 2022-09-26
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s) Zimmerman, Thomas Guthrie

Abrégé

Respiratory protective device detection using optical tagging and image processing includes receiving one or more infrared images of a user. An optical tag is detected within the one or more infrared images. The optical tag is disposed on a respiratory protective device. A notification is generated indicating that the user is wearing a respiratory protective device in response to detecting the optical tag within the one or more infrared images. Respiratory protective device detection also may include detecting eyes of the user within the one or more infrared images, determining a distance between the optical tag and the eyes of the user within the one or more infrared images, and comparing the distance with a threshold distance. The notification can indicate whether the respiratory protective device is covering a nose of the user based on the comparing.

Classes IPC  ?

54.

Capturing Data Properties to Recommend Machine Learning Models for Datasets

      
Numéro d'application 17936045
Statut En instance
Date de dépôt 2022-09-28
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Sodhi, Manjit Singh
  • Mohandas, Suja
  • Gupta, Nitin
  • Kannan, Kalapriya
  • Agarwal, Prerna

Abrégé

Recommending machine learning models is provided. The method comprises training machine learning models, wherein each machine learning model is trained with a unique respective dataset. Metadata associated with each machine learning model is extracted, wherein the metadata includes properties of the respective dataset used to train the machine learning model. The machine learning models and metadata are stored in a model catalog. Upon receiving a new dataset, similarity scores are calculated between the new dataset and the machine learning models in the model catalog according to the properties of the datasets in the metadata of the machine learning models. A closest match machine learning model is identified from the model catalog for the new dataset according to similarity score. Responsive to a determination that the closest match machine learning model exceeds a similarity threshold, predictions for the new dataset are generated with the closest match machine learning model.

Classes IPC  ?

  • G06N 20/00 - Apprentissage automatique
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques

55.

TRANSISTORS WITH VIA-TO-BACKSIDE POWER RAIL SPACERS

      
Numéro d'application 17950361
Statut En instance
Date de dépôt 2022-09-22
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Li, Tao
  • Qin, Liqiao
  • Grant, Devika Sarkar
  • Jain, Nikhil
  • Roy Chowdhury, Prabudhya
  • Mukesh, Sagarika
  • Choi, Kisik
  • Xie, Ruilong

Abrégé

A semiconductor structure includes a source/drain region; a frontside source/drain contact disposed on the source/drain region, a via-to-backside power rail disposed on the frontside source/drain contact and on a portion of the source/drain region, and a backside power rail connected to the via-to-backside power rail.

Classes IPC  ?

  • H01L 23/48 - Dispositions pour conduire le courant électrique vers le ou hors du corps à l'état solide pendant son fonctionnement, p.ex. fils de connexion ou bornes
  • H01L 29/08 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices avec des régions semi-conductrices connectées à une électrode transportant le courant à redresser, amplifier ou commuter, cette électrode faisant partie d'un dispositif à semi-conducteur qui comporte trois électrodes ou plus
  • H01L 29/66 - Types de dispositifs semi-conducteurs

56.

TRANSISTORS WITH ENHANCED VIA-TO-BACKSIDE POWER RAIL

      
Numéro d'application 17954979
Statut En instance
Date de dépôt 2022-09-28
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Xie, Ruilong
  • Motoyama, Koichi
  • Liu, Feng

Abrégé

A semiconductor structure includes a first via-to-backside power rail having a lower portion and an upper portion. The lower portion is connected to a first backside power rail and has a first width and the upper portion has a second width less than the first width.

Classes IPC  ?

  • H01L 23/528 - Configuration de la structure d'interconnexion
  • H01L 21/8238 - Transistors à effet de champ complémentaires, p.ex. CMOS
  • H01L 27/092 - Transistors à effet de champ métal-isolant-semi-conducteur complémentaires
  • H01L 29/06 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices
  • H01L 29/417 - Electrodes caractérisées par leur forme, leurs dimensions relatives ou leur disposition relative transportant le courant à redresser, à amplifier ou à commuter
  • H01L 29/423 - Electrodes caractérisées par leur forme, leurs dimensions relatives ou leur disposition relative ne transportant pas le courant à redresser, à amplifier ou à commuter
  • H01L 29/66 - Types de dispositifs semi-conducteurs
  • H01L 29/775 - Transistors à effet de champ avec un canal à gaz de porteurs de charge à une dimension, p.ex. FET à fil quantique

57.

BACKSIDE POWER DISTRIBUTION NETWORK AND BACKSIDE SINGLE CRYSTAL TRANSISTORS

      
Numéro d'application 17954514
Statut En instance
Date de dépôt 2022-09-28
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Xie, Ruilong
  • Polomoff, Nicholas Alexander
  • Anderson, Brent A.
  • Yang, Chih-Chao

Abrégé

A semiconductor structure is presented including a device layer having a plurality of active devices, back-end-of-line (BEOL) components disposed under the device layer, a power distribution network (PDN) disposed over the device layer, and backside transistors disposed on a single crystal silicon (Si) layer disposed over the PDN. A through silicon via (TSV) extends from the backside transistors disposed on the single crystal Si layer through the BEOL. An upper TSV (uTSV) extends from the PDN through the backside transistors disposed on the single crystal Si layer to additional interconnects.

Classes IPC  ?

  • H01L 23/528 - Configuration de la structure d'interconnexion
  • H01L 21/768 - Fixation d'interconnexions servant à conduire le courant entre des composants distincts à l'intérieur du dispositif
  • H01L 23/48 - Dispositions pour conduire le courant électrique vers le ou hors du corps à l'état solide pendant son fonctionnement, p.ex. fils de connexion ou bornes
  • H01L 29/417 - Electrodes caractérisées par leur forme, leurs dimensions relatives ou leur disposition relative transportant le courant à redresser, à amplifier ou à commuter

58.

AUTOMATED TESTING OF OPERATING SYSTEM (OS) KERNEL HELPER FUNCTIONS ACCESSIBLE THROUGH EXTENDED BPF (eBPF) FILTERS

      
Numéro d'application 17952189
Statut En instance
Date de dépôt 2022-09-23
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Saieva, Anthony
  • Araujo, Frederico
  • Das, Sanjeev
  • Le, Michael Vu
  • Jang, Jiyong

Abrégé

A method to test an OS kernel interface, such as an eBPF helper function. The interface has a grammar that defines the kernel interface. Testing is carried out using eBPF code that invokes and tests the interface using a fuzzing engine. To facilitate the process, additional user space code is configured to generate at least one kernel event that triggers the eBPF code to run, and to transform inputs from the fuzzing engine according to the grammar that defines the kernel interface. After loading the eBPF code into the OS kernel, the user space code issues the kernel event that causes the eBPF code to run. In response, and as the fuzzing engine executes, the eBPF code records arguments sent to the OS kernel through the kernel interface. The arguments are passed through a data structure shared by the eBPF code and the user space code. By recording the arguments and other diagnostic information, the security of the kernel interface is evaluated.

Classes IPC  ?

  • G06F 21/57 - Certification ou préservation de plates-formes informatiques fiables, p.ex. démarrages ou arrêts sécurisés, suivis de version, contrôles de logiciel système, mises à jour sécurisées ou évaluation de vulnérabilité

59.

INTERCONNECT WITH DISCONNECTED LINER AND METAL CAP

      
Numéro d'application 17955001
Statut En instance
Date de dépôt 2022-09-28
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Motoyama, Koichi
  • Van Der Straten, Oscar
  • Yang, Chih-Chao

Abrégé

An interconnect structure includes a diffusion barrier layer disposed on exterior surfaces of an opening in a dielectric layer. A top surface of the diffusion barrier layer is below a top surface of the opening. A liner layer is disposed on a bottom surface and sidewalls of the diffusion barrier layer. A spacer layer is disposed on the top surface of the diffusion barrier layer and the liner layer and exposed sidewalls of the opening. An interconnect metal is disposed on the liner layer and the spacer layer. A metal cap is disposed on the interconnect metal.

Classes IPC  ?

  • H01L 23/532 - Dispositions pour conduire le courant électrique à l'intérieur du dispositif pendant son fonctionnement, d'un composant à un autre comprenant des interconnexions externes formées d'une structure multicouche de couches conductrices et isolantes inséparables du corps semi-conducteur sur lequel elles ont été déposées caractérisées par les matériaux
  • H01L 23/528 - Configuration de la structure d'interconnexion

60.

EXECUTION OF HOMOMORPHICALLY ENCRYPTED CODE USING DYNAMICALLY SELECTED BLOCKS

      
Numéro d'application 17936113
Statut En instance
Date de dépôt 2022-09-28
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Drucker, Nir
  • Shaul, Hayim

Abrégé

An example system includes a processor to partition an arithmetic circuit representing a homomorphically encrypted (HE) code into a number of execution blocks. The processor can generate, for each of the number of execution blocks, manifests describing access patterns for a number of different machine environments. The processor can then dynamically execute the HE code by selecting successive blocks to execute based on an access pattern calculated for the execution block corresponding to a detected current machine environment.

Classes IPC  ?

  • H04L 9/00 - Dispositions pour les communications secrètes ou protégées; Protocoles réseaux de sécurité
  • H04L 9/06 - Dispositions pour les communications secrètes ou protégées; Protocoles réseaux de sécurité l'appareil de chiffrement utilisant des registres à décalage ou des mémoires pour le codage par blocs, p.ex. système DES

61.

STACKED FET CONTACT FORMATION

      
Numéro d'application 17951739
Statut En instance
Date de dépôt 2022-09-23
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Motoyama, Koichi
  • Xie, Ruilong
  • Church, Jennifer
  • Gluschenkov, Oleg

Abrégé

Semiconductor devices and methods of making the same include a first lower device and a second lower device on a substrate. A first upper device is over the first lower device and a second upper device is over the second lower device. A first lower contact extends from a height above the first upper device and makes electrical contact with a top surface and a sidewall surface of the first lower device. A second lower contact extends from a height above the second upper device and makes electrical contact with a top surface and a sidewall surface of the second lower device. An insulating barrier is between the first lower contact and the second lower contact.

Classes IPC  ?

  • H01L 23/522 - Dispositions pour conduire le courant électrique à l'intérieur du dispositif pendant son fonctionnement, d'un composant à un autre comprenant des interconnexions externes formées d'une structure multicouche de couches conductrices et isolantes inséparables du corps semi-conducteur sur lequel elles ont été déposées
  • H01L 21/768 - Fixation d'interconnexions servant à conduire le courant entre des composants distincts à l'intérieur du dispositif
  • H01L 21/84 - Fabrication ou traitement de dispositifs consistant en une pluralité de composants à l'état solide ou de circuits intégrés formés dans ou sur un substrat commun avec une division ultérieure du substrat en plusieurs dispositifs individuels pour produire des dispositifs, p.ex. des circuits intégrés, consistant chacun en une pluralité de composants le substrat étant autre chose qu'un corps semi-conducteur, p.ex. étant un corps isolant
  • H01L 23/528 - Configuration de la structure d'interconnexion
  • H01L 23/532 - Dispositions pour conduire le courant électrique à l'intérieur du dispositif pendant son fonctionnement, d'un composant à un autre comprenant des interconnexions externes formées d'une structure multicouche de couches conductrices et isolantes inséparables du corps semi-conducteur sur lequel elles ont été déposées caractérisées par les matériaux

62.

ARTIFICIAL INTELLIGENCE DRIVEN LOG EVENT ASSOCIATION

      
Numéro d'application 17936372
Statut En instance
Date de dépôt 2022-09-28
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Silverstein, Zachary A.
  • Cunico, Hernan A.
  • Dunne, Jonathan D.
  • Renduchintala, Nageswara Sastry

Abrégé

A computer implemented method processes log events. A computer system determines dependence and independence of training log events. The computer system clusters the training log events with determined dependence and independence to form clustered training log events. The computer system generates an event association model using the clustered training log events. The computer system clusters the log events using the event association model.

Classes IPC  ?

  • G06N 5/02 - Représentation de la connaissance; Représentation symbolique

63.

PREDICTING STATES FROM PATIENT-CAREGIVER DYADIC BIOMARKER DATA USING ARTIFICIAL INTELLIGENCE

      
Numéro d'application 17950464
Statut En instance
Date de dépôt 2022-09-22
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Ogallo, William
  • Kuehnert, Julian Bertram
  • Remy, Sekou Lionel
  • Onando, Isaiah Mulang'

Abrégé

Methods, systems, and computer program products for predicting states from patient-caregiver dyadic biomarker data using artificial intelligence are provided herein. A computer-implemented method includes obtaining biomarker data derived from one or more dyads, each dyad comprising at least one patient and at least one caregiver associated with the at least one patient; determining, based on processing the obtained biomarker data, data-based representations of mental distress and/or social rhythm disruption among at least one of the one or more dyads; predicting mental distress and/or social rhythm disruption among a given dyad of at least one patient and at least one caregiver associated with the at least one patient by processing input biomarker data, derived from the given dyad, using artificial intelligence techniques in connection with at least a portion of the data-based representations; and performing automated actions based on the predicting.

Classes IPC  ?

  • G16H 50/30 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour l’évaluation des risques pour la santé d’une personne
  • G06N 7/00 - Agencements informatiques fondés sur des modèles mathématiques spécifiques

64.

DIRECT BACKSIDE CONTACT WITH REPLACEMENT BACKSIDE DIELECTRIC

      
Numéro d'application 17954826
Statut En instance
Date de dépôt 2022-09-28
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Xie, Ruilong
  • Choi, Kisik
  • Nguyen, Son
  • Polomoff, Nicholas Alexander

Abrégé

A semiconductor device includes a frontside including first metal structures, transistors disposed between the frontside and a backside opposite the frontside, each transistor including a source/drain positioned within a stack of nanolayers, the stack of nanolayers forming a gate structure and a power circuit on the backside and connected to the transistors by backside contacts. A backside dielectric isolation has a horizontal portion along a backside of the gate structure and a vertical portion substantially perpendicular to the backside and self-aligned to selected source/drains to electrically isolate the power circuit from the transistors.

Classes IPC  ?

  • H01L 23/528 - Configuration de la structure d'interconnexion
  • H01L 29/06 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices
  • H01L 29/40 - Electrodes
  • H01L 29/417 - Electrodes caractérisées par leur forme, leurs dimensions relatives ou leur disposition relative transportant le courant à redresser, à amplifier ou à commuter
  • H01L 29/423 - Electrodes caractérisées par leur forme, leurs dimensions relatives ou leur disposition relative ne transportant pas le courant à redresser, à amplifier ou à commuter
  • H01L 29/66 - Types de dispositifs semi-conducteurs
  • H01L 29/775 - Transistors à effet de champ avec un canal à gaz de porteurs de charge à une dimension, p.ex. FET à fil quantique

65.

INTELLIGENTLY SCALING DATABASE AS A SERVICE RESOURCES IN A CLOUD PLATFORM

      
Numéro d'application 17952244
Statut En instance
Date de dépôt 2022-09-24
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Jiang, Peng Hui
  • Wang, Yue
  • Su, Jun
  • Liu, Su
  • Sun, Sheng Yan

Abrégé

A computer-implemented method, system and computer program product for scaling a resource of a Database as a Service (DBaaS) cluster in a cloud platform. User service requests from a service cluster to be processed by the DBaaS cluster are received. A first set of tracing data is generated by a service mesh, which facilitates service-to-service communication between the service cluster and the DBaaS cluster, from the user service requests. A second set of tracing data is generated by the DBaaS cluster from handling the user service requests. A dependency tree is then generated to discover application relationships to identify potential bottlenecks in nodes of the DBaaS cluster based on these sets of tracing data. The pod(s) of a DBaaS node are then scaled based on the dependency tree, which is used in part, to predict the utilization of the resources of the DBaaS node identified as being a potential bottleneck.

Classes IPC  ?

  • G06F 9/455 - Dispositions pour exécuter des programmes spécifiques Émulation; Interprétation; Simulation de logiciel, p.ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
  • G06F 9/38 - Exécution simultanée d'instructions

66.

STACKED FET CONTACT FORMATION

      
Numéro d'application IB2023058527
Numéro de publication 2024/062305
Statut Délivré - en vigueur
Date de dépôt 2023-08-29
Date de publication 2024-03-28
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM ISRAEL - SCIENCE & TECHNOLOGY LTD (Israël)
Inventeur(s)
  • Motoyama, Koichi
  • Xie, Ruilong
  • Church, Jennifer
  • Gluschenkov, Oleg

Abrégé

Semiconductor devices and methods of making the same include a first lower device and a second lower device on a substrate. A first upper device is over the first lower device and a second upper device is over the second lower device. A first lower contact extends from a height above the first upper device and makes electrical contact with a top surface and a sidewall surface of the first lower device. A second lower contact extends from a height above the second upper device and makes electrical contact with a top surface and a sidewall surface of the second lower device. An insulating barrier is between the first lower contact and the second lower contact.

Classes IPC  ?

  • H01L 21/768 - Fixation d'interconnexions servant à conduire le courant entre des composants distincts à l'intérieur du dispositif
  • H01L 27/06 - Dispositifs consistant en une pluralité de composants semi-conducteurs ou d'autres composants à l'état solide formés dans ou sur un substrat commun comprenant des éléments de circuit passif intégrés avec au moins une barrière de potentiel ou une barrière de surface le substrat étant un corps semi-conducteur comprenant une pluralité de composants individuels dans une configuration non répétitive

67.

EDGE CAPACITIVE COUPLING FOR QUANTUM CHIPS

      
Numéro d'application IB2023058763
Numéro de publication 2024/062314
Statut Délivré - en vigueur
Date de dépôt 2023-09-05
Date de publication 2024-03-28
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM DEUTSCHLAND GMBH (Allemagne)
Inventeur(s)
  • Kumph, Muir
  • Dial, Oliver
  • Cotte, John
  • Abraham, David

Abrégé

A quantum computing chip device provides an edge based capacitive, intra-chip connection. A first chip includes a first signal line with a distal end positioned proximate to or on an edge of the first chip and a proximal end positioned away from the edge of the first chip. A second chip includes a second signal line with a distal end positioned proximate to or on an edge of the second chip and a proximal end positioned away from the edge of the second chip. The first signal line and the second signal line are configured to conduct a signal. The second signal line of the second chip is disposed in alignment for a capacitive bus connection to the first signal line of the first chip.

Classes IPC  ?

  • H10N 69/00 - Dispositifs intégrés, ou ensembles de plusieurs dispositifs, comportant au moins un élément supraconducteur couvert par le groupe
  • G06N 10/40 - Réalisations ou architectures physiques de processeurs ou de composants quantiques pour la manipulation de qubits, p.ex. couplage ou commande de qubit
  • H01P 3/02 - Guides d'ondes; Lignes de transmission du type guide d'ondes à deux conducteurs longitudinaux
  • H01L 25/065 - Ensembles consistant en une pluralité de dispositifs à semi-conducteurs ou d'autres dispositifs à l'état solide les dispositifs étant tous d'un type prévu dans le même sous-groupe des groupes , ou dans une seule sous-classe de , , p.ex. ensembles de diodes redresseuses les dispositifs n'ayant pas de conteneurs séparés les dispositifs étant d'un type prévu dans le groupe
  • H01P 5/02 - Dispositifs de couplage du type guide d'ondes à coefficient de couplage invariable

68.

AN APPROACH TO GRACEFULLY RESOLVE RETRY STORMS

      
Numéro d'application IB2023058761
Numéro de publication 2024/062313
Statut Délivré - en vigueur
Date de dépôt 2023-09-05
Date de publication 2024-03-28
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM DEUTSCHLAND GMBH (Allemagne)
Inventeur(s)
  • Wang, Yue
  • Wu, Wei
  • Liu, Xin Peng
  • Wang, Liang
  • Chai, Biao

Abrégé

A method includes, in response to receiving an incoming service request and establishing a call chain of pods of a service mesh network, setting a retry locker parameter to a locked state for each pod in the call chain. A locked retry locker parameter prevents the pod from initiating retries of a service request. The method includes, in response to determining that a pod in the call chain is unavailable, setting the retry locker parameter to an unlocked state for a previous pod just prior to the pod that is unavailable. The unlocked state allows a retry to the pod that is unavailable. In response to the previous pod reaching a retry limit, the method includes setting the retry locker parameter to unlocked for each pod in the call chain and sending a service termination message to a service requester.

Classes IPC  ?

  • G06F 9/50 - Allocation de ressources, p.ex. de l'unité centrale de traitement [UCT]
  • G06F 9/54 - Communication interprogramme
  • G06F 11/07 - Réaction à l'apparition d'un défaut, p.ex. tolérance de certains défauts
  • H04L 67/566 - Regroupement ou agrégation de demandes de service, p.ex. pour un traitement unifié
  • H04L 69/40 - Dispositions, protocoles ou services de réseau indépendants de la charge utile de l'application et non couverts dans un des autres groupes de la présente sous-classe pour se remettre d'une défaillance d'une instance de protocole ou d'une entité, p.ex. protocoles de redondance de service, état de redondance de protocole ou redirection de service de protocole

69.

QUADRATURE CIRCUIT INTERCONNECT ARCHITECTURE WITH CLOCK FORWARDING

      
Numéro d'application CN2023107018
Numéro de publication 2024/060805
Statut Délivré - en vigueur
Date de dépôt 2023-07-12
Date de publication 2024-03-28
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Sperling, Michael
  • Dreps, Daniel Mark
  • English, Erik
  • Qi, Jieming

Abrégé

An integrated circuit communication architecture is provided and includes a clock lane, a clock divider, and a first de-skew circuit. The clock lane is configured to send a clock signal at a first rate from a first chip to a second chip. The clock divider is on the second chip and is configured to receive the clock signal sent via the clock lane and to create and send a first divided clock signal and a second divided clock signal from the received clock signal. The divided clock signals are sent at reduced rates compared to the first rate. The clock divider maintains current mode logic properties for the divided clock signals. The first de-skew circuit is configured to receive and process the divided clock signals to allow for sampling of data transmitted from the first chip to the second chip.

Classes IPC  ?

  • G06F 1/10 - Répartition des signaux d'horloge

70.

TESTING OF OPERATING SYSTEM (OS) KERNEL HELPER FUNCTIONS ACCESSIBLE THROUGH EXTENDED BPF (EBPF) FILTERS

      
Numéro d'application EP2023067114
Numéro de publication 2024/061493
Statut Délivré - en vigueur
Date de dépôt 2023-06-23
Date de publication 2024-03-28
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM UNITED KINGDOM LIMITED (Royaume‑Uni)
Inventeur(s)
  • Saieva, Anthony
  • Araujo, Frederico
  • Das, Sanjeev
  • Le, Michael, Vu
  • Jang, Jiyong

Abrégé

A method to test an OS kernel interface, such as an eBPF helper function. The interface has a grammar that defines the kernel interface. Testing is carried out using eBPF code that invokes and tests the interface using a fuzzing engine. To facilitate the process, additional user space code is configured to generate at least one kernel event that triggers the eBPF code to run, and to transform inputs from the fuzzing engine according to the grammar that defines the kernel interface. After loading the eBPF code into the OS kernel, the user space code issues the kernel event that causes the eBPF code to run. In response, and as the fuzzing engine executes, the eBPF code records arguments sent to the OS kernel through the kernel interface. The arguments are passed through a data structure shared by the eBPF code and the user space code. By recording the arguments and other diagnostic information, the security of the kernel interface is evaluated.

Classes IPC  ?

  • G06F 11/36 - Prévention d'erreurs en effectuant des tests ou par débogage de logiciel
  • G06F 9/455 - Dispositions pour exécuter des programmes spécifiques Émulation; Interprétation; Simulation de logiciel, p.ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation

71.

MIRROR WRITE CONSISTENCY CHECK POLICY FOR LOGICAL VOLUME MANAGER SYSTEMS

      
Numéro d'application CN2023106942
Numéro de publication 2024/060803
Statut Délivré - en vigueur
Date de dépôt 2023-07-12
Date de publication 2024-03-28
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Yadlapati, Lakshmi
  • Ganti, Veena
  • Yang, Rui
  • Wigginton, Virginia Ann

Abrégé

Improving the runtime and discovery recovery performance for cloud-based logical volume management systems when performing mirror write operations. A mirror write consistency check (MWCC) policy that incorporates aspects of Active MWCC policies and Passive MWCC policies are utilized to more efficiently ensure that data is properly mirrored from a first copy of a logical volume to the second copy of a logical volume (as well as to potentially multiple other copies of the logical volume).

Classes IPC  ?

  • G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement

72.

AMPLITUDE AND PHASE ALIGNMENT OF PHASED ARRAY ELEMENTS

      
Numéro d'application CN2023118722
Numéro de publication 2024/061090
Statut Délivré - en vigueur
Date de dépôt 2023-09-14
Date de publication 2024-03-28
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Paidimarri, Arun
  • Lee, Wooram
  • Dascurcu, Armagan
  • Sadhu, Bodhisatwa
  • Valdes Garcia, Alberto
  • Ozdag, Caglar

Abrégé

Systems and methods for operating a beamforming circuit are described. A processor can activate a transmitting element among a plurality of transmitting elements of a beamforming circuit. The processor can activate a receiving element among a plurality of receiving elements of a beamforming circuit. The processor can receive a direct current (DC) signal that represents phase and amplitude of the activated transmitting element and the activated receiving element. The processor can adjust a setting of the beamforming circuit to receive additional DC signals that represent phases and amplitudes of the activated transmitting element and the activated receiving element under the adjusted setting. The processor can determine calibration values for the beamforming circuit based on the DC signal and the additional DC signals.

Classes IPC  ?

  • H04W 16/28 - Structures des cellules utilisant l'orientation du faisceau
  • H04B 7/0408 - Systèmes de diversité; Systèmes à plusieurs antennes, c. à d. émission ou réception utilisant plusieurs antennes utilisant plusieurs antennes indépendantes espacées utilisant plusieurs faisceaux, c. à d. diversité de faisceaux

73.

SEMICONDUCTOR BACKSIDE TRANSISTOR INTEGRATION WITH BACKSIDE POWER DELIVERY NETWORK

      
Numéro d'application IB2023058033
Numéro de publication 2024/062297
Statut Délivré - en vigueur
Date de dépôt 2023-08-09
Date de publication 2024-03-28
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM ISRAEL SCIENCE AND TECHNOLOGY LTD. (Israël)
Inventeur(s)
  • Edelstein, Daniel
  • Joshi, Rajiv
  • Xie, Ruilong
  • Ramachandran, Ravikumar
  • Miller, Eric

Abrégé

A semiconductor structure includes a front-end-of-line level including a plurality of field effect transistors electrically connected to a back-end-of-line interconnect level. The back-end-of-line interconnect level is located on a first side of the front-end-of-line level. A backside power rail is embedded within a backside interlayer dielectric located on a second side of the front-end-of-line level opposing the first side of the front-end-of-line level. The backside power rail is electrically connected to at least one field effect transistor of the plurality of field effect transistors. At least one backside field effect transistor is formed on a first semiconductor layer disposed, at least in part, above a passive device region. A first side of the passive device region is in contact with the first semiconductor layer and a second side of the passive device region, opposing the first side, is in contact with the back-end-of-line interconnect level.

Classes IPC  ?

  • H01L 27/06 - Dispositifs consistant en une pluralité de composants semi-conducteurs ou d'autres composants à l'état solide formés dans ou sur un substrat commun comprenant des éléments de circuit passif intégrés avec au moins une barrière de potentiel ou une barrière de surface le substrat étant un corps semi-conducteur comprenant une pluralité de composants individuels dans une configuration non répétitive
  • H01L 21/822 - Fabrication ou traitement de dispositifs consistant en une pluralité de composants à l'état solide ou de circuits intégrés formés dans ou sur un substrat commun avec une division ultérieure du substrat en plusieurs dispositifs individuels pour produire des dispositifs, p.ex. des circuits intégrés, consistant chacun en une pluralité de composants le substrat étant un semi-conducteur, en utilisant une technologie au silicium
  • H01L 23/528 - Configuration de la structure d'interconnexion
  • H01L 29/417 - Electrodes caractérisées par leur forme, leurs dimensions relatives ou leur disposition relative transportant le courant à redresser, à amplifier ou à commuter
  • H01L 29/06 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices

74.

CONTEXTUAL VIRTUAL REALITY RENDERING AND ADOPTING BIOMARKER ANALYSIS

      
Numéro d'application IB2023057744
Numéro de publication 2024/062293
Statut Délivré - en vigueur
Date de dépôt 2023-07-31
Date de publication 2024-03-28
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM ISRAEL SCIENCE AND TECHNOLOGY LTD. (Israël)
Inventeur(s)
  • Fox, Jeremy
  • Reznicek, Alexander
  • Hekmatshoartabari, Bahman
  • Keen, Martin

Abrégé

According to one embodiment, a method, computer system, and computer program product for biometric mixed-reality emotional modification is provided. The present invention may include collecting, by a plurality of biosensors, biometric information on a user during a mixed-reality session, wherein the biometric information comprises biomarkers; identifying, by one or more machine learning models, a mental state of the user based on the biometric information; and responsive to determining that the mental state does not match an intended emotion associated with a mixed-reality experience, modifying the mixed-reality experience with one or more virtual content elements.

Classes IPC  ?

  • G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur

75.

CACHING OF TEXT ANALYTICS BASED ON TOPIC DEMAND AND MEMORY CONSTRAINTS

      
Numéro d'application CN2023108093
Numéro de publication 2024/060812
Statut Délivré - en vigueur
Date de dépôt 2023-07-19
Date de publication 2024-03-28
Propriétaire
  • INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
  • IBM (CHINA) CO., LIMITED (Chine)
Inventeur(s)
  • Sivakumar, Gandhi
  • Marvaniya, Smitkumar Narotambhai
  • Ekambaram, Vijay
  • Macura, Luke Peter

Abrégé

An embodiment includes analyzing text content of a user query to identify via natural language processing (NLP) a query topic. The embodiment maps the query topic to a topic cluster at a node of a hierarchical model of a text database. The embodiment generates query demand data indicative of demand for the topic cluster based on user queries. The embodiment identifies the topic cluster as a topic-cache candidate based on the query demand data. The embodiment compares an amount of memory required for storing text associated with the first topic cluster to available cache memory. The embodiment caches the text of the topic cluster candidate upon determining that there is sufficient available cache memory space.

Classes IPC  ?

76.

IBM QUANTUM SYSTEM TWO

      
Numéro d'application 1782229
Statut Enregistrée
Date de dépôt 2024-02-01
Date d'enregistrement 2024-02-01
Propriétaire International Business Machines Corporation (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 41 - Éducation, divertissements, activités sportives et culturelles
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computer hardware for quantum computing; computer software for quantum computing; computer hardware and computer software for data processing in the fields of information technology, cloud computing, artificial intelligence, computer simulations and quantum computing; downloadable electronic publications in the nature of books, brochures, information sheets, instruction manuals, presentations, instructional and teaching materials, press releases, newsletters, reviews, technical reports, teaching material and training material in the field of information technology, cloud computing, artificial intelligence, computer simulations and quantum computing; computer hardware and software enabling access to a quantum computer; downloadable software for constructing, analyzing, testing, programming and running programs, algorithms, instruction languages and applications on a quantum computer; downloadable computer software for converting a computer code to read on a quantum computer; user interfaces, namely, keyboards, electronic control panels and touchscreens for controlling and reading information from a quantum computer; downloadable computer software for simulating a quantum computer; downloadable software for using quantum computers in applications. Educational services, namely, conducting and organizing courses, seminars, conferences, webinars and workshops in the fields of quantum computing, quantum science, quantum materials, quantum devices and quantum research; training services in the fields of quantum computing, quantum science, quantum materials, quantum devices and quantum research. Computer services, namely, computer programming, computer system integration services, software development and computer systems analysis in the fields of information technology, cloud computing, artificial intelligence, computer simulations and quantum computing; computer consulting services, namely, advice with respect to software, advice in the field of cloud computing and computer programming advice in the fields of information technology, cloud computing, artificial intelligence, computer simulations, and quantum computing; technical support services, namely, troubleshooting with respect to computer systems and diagnosing computer hardware and software problems in the fields of information technology, cloud computing, artificial intelligence, computer simulations and quantum computing; computer programming for third parties in the fields of information technology, cloud computing, artificial intelligence, computer simulations and quantum computing; software and computer hardware design services for quantum computing; quantum computing services, namely, computing using different physical phenomena, such as overlaying, entanglement and interference for storing and processing data and information; consultancy in the field of quantum computing, namely, information technology from different physical phenomena, such as overlaying, entanglement and interference for storing and processing data and information; designing computer hardware and software for cognitive computing; consultancy in the field of cognitive computing, namely, simulating human thought processes in a computerized model; research, development and advisory services relating to information technology, cloud computing, artificial intelligence, computer simulations and quantum computing.

77.

IBM QUANTUM SYSTEM ONE

      
Numéro d'application 1782230
Statut Enregistrée
Date de dépôt 2024-02-01
Date d'enregistrement 2024-02-01
Propriétaire International Business Machines Corporation (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 41 - Éducation, divertissements, activités sportives et culturelles
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computer hardware for quantum computing; computer software for quantum computing; computer hardware and computer software for data processing in the fields of information technology, cloud computing, artificial intelligence, computer simulations and quantum computing; downloadable electronic publications in the nature of books, brochures, information sheets, instruction manuals, presentations, instructional and teaching materials, press releases, newsletters, reviews, technical reports, teaching material and training material in the field of information technology, cloud computing, artificial intelligence, computer simulations and quantum computing; computer hardware and software enabling access to a quantum computer; downloadable software for constructing, analyzing, testing, programming and running programs, algorithms, instruction languages and applications on a quantum computer; downloadable computer software for converting a computer code to read on a quantum computer; user interfaces, namely, keyboards, electronic control panels and touchscreens for controlling and reading information from a quantum computer; downloadable computer software for simulating a quantum computer; downloadable software for using quantum computers in applications. Educational services, namely, conducting and organizing courses, seminars, conferences, webinars and workshops in the fields of quantum computing, quantum science, quantum materials, quantum devices and quantum research; training services in the fields of quantum computing, quantum science, quantum materials, quantum devices and quantum research. Computer services, namely, computer programming, computer system integration services, software development and computer systems analysis in the fields of information technology, cloud computing, artificial intelligence, computer simulations and quantum computing; computer consulting services, namely, advice with respect to software, advice in the field of cloud computing and computer programming advice in the fields of information technology, cloud computing, artificial intelligence, computer simulations, and quantum computing; technical support services, namely, troubleshooting with respect to computer systems and diagnosing computer hardware and software problems in the fields of information technology, cloud computing, artificial intelligence, computer simulations and quantum computing; computer programming for third parties in the fields of information technology, cloud computing, artificial intelligence, computer simulations and quantum computing; software and computer hardware design services for quantum computing; quantum computing services, namely, computing using different physical phenomena, such as overlaying, entanglement and interference for storing and processing data and information; consultancy in the field of quantum computing, namely, information technology from different physical phenomena, such as overlaying, entanglement and interference for storing and processing data and information; designing computer hardware and software for cognitive computing; consultancy in the field of cognitive computing, namely, simulating human thought processes in a computerized model; research, development and advisory services relating to information technology, cloud computing, artificial intelligence, computer simulations and quantum computing.

78.

MATERIAL MOVEMENT TRACK TO ASSIST ROBOTIC ARM

      
Numéro d'application 17935954
Statut En instance
Date de dépôt 2022-09-28
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Moyal, Shailendra
  • Rakshit, Sarbajit K.
  • Vyawahare, Rasika Ashirwad
  • Ghosh, Partho

Abrégé

In an approach for improving robotic automation systems, a processor receives a request for a set of materials for an activity to be performed. A processor identifies one or more materials of the set of materials. A processor determines a sequence of operations to move the one or more materials. A processor prompts a first robot to pick a first material at the place of origination using a clamping system and to deposit the first material in a first micro trolley. Responsive to determining an arm of the first robot is in a first orientation, a processor moves the first material along a first track on an arm of a multi-robotic system from the place of origination to the place of destination. A processor prompts a second robot to pick the first material from the first micro trolley at the place of destination using the clamping system.

Classes IPC  ?

  • B25J 9/16 - Commandes à programme
  • B25J 19/02 - Dispositifs sensibles
  • B65G 47/90 - Dispositifs pour saisir et déposer les articles ou les matériaux

79.

GRAPHICS PROCESSING UNIT TRAINING JOB ALLOCATION

      
Numéro d'application 17934221
Statut En instance
Date de dépôt 2022-09-22
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Dong, Lin
  • Liu, Jun Feng

Abrégé

A computer-implemented method for training a machine learning model includes receiving a first training job at a processing device of a computer system having a plurality of graphics processing unit (GPU) resources, the first training job being part of a set of training jobs, and determining an amount of available memory in each GPU resource of the plurality of GPU resources. The method also includes loading the training job into one or more GPU resources with at least one second training job. The loading includes determining a cost model indicating an efficiency cost of each of a plurality of packing patterns, and packing the first training job and the second training job into the one or more GPU resources according to a packing pattern associated with a lowest efficiency cost.

Classes IPC  ?

  • G06N 20/00 - Apprentissage automatique
  • G06F 9/50 - Allocation de ressources, p.ex. de l'unité centrale de traitement [UCT]

80.

FLYING CHARGING STATION FOR TRANSPORTING UNMANNED AERIAL VEHICLES (UAVS)

      
Numéro d'application 17934222
Statut En instance
Date de dépôt 2022-09-22
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Perumalla, Saraswathi Sailaja
  • Rakshit, Sarbajit K.
  • Dhoot, Akash U.
  • Pochiraju, Bhavya

Abrégé

A mobile charging station for transporting and recharging multiple UAVs (unmanned aerial vehicles), typically small UAVs, with the charging station, itself, being in the form of a carrier UAV. By transporting smaller passenger UAVs in, or on, the larger carrier UAV: (i) the smaller UAVs effectively have a longer range because they can be taken part, or even most, of the way to a target destination by riding in, or on, the larger carrier UAV; (ii) the passenger UAVs can have their electrical batteries re-charged; (ii) the passenger UAVs can have their batteries replaced; and/or (iv) the passenger UAVs can have their hydrogen fuel cells recharged with hydrogen (for examples, by replacement of the fuel cell or by pumping hydrogen into the existing fuel cell.

Classes IPC  ?

  • B60L 53/31 - Colonnes de charge spécialement adaptées aux véhicules électriques
  • B60L 53/16 - Connecteurs, p.ex. fiches ou prises, spécialement adaptés pour recharger des véhicules électriques
  • B60L 53/30 - PROPULSION DES VÉHICULES À TRACTION ÉLECTRIQUE; FOURNITURE DE L'ÉNERGIE ÉLECTRIQUE À L'ÉQUIPEMENT AUXILIAIRE DES VÉHICULES À TRACTION ÉLECTRIQUE; SYSTÈMES DE FREINS ÉLECTRODYNAMIQUES POUR VÉHICULES, EN GÉNÉRAL; SUSPENSION OU LÉVITATION MAGNÉTIQUES POUR VÉHICULES; CONTRÔLE DES PARAMÈTRES DE FONCTIONNEMENT DES VÉHICULES À TRACTION ÉLECTRIQUE; DISPOSITIFS ÉLECTRIQUES DE SÉCURITÉ POUR VÉHICULES À TRACTION ÉLECTRIQUE Échange d'éléments d’emmagasinage d'énergie dans les véhicules électriques - Détails de construction des stations de charge

81.

BIT FLIP AWARE LATCH PLACEMENT

      
Numéro d'application 17934216
Statut En instance
Date de dépôt 2022-09-22
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Trombley, Benjamin Neil
  • Shum, Chung-Lung K.
  • Villarrubia, Paul G.
  • Muller, K. Paul
  • Wood, Michael Hemsley
  • Gay, Daniel Arthur
  • Xiang, Hua
  • Anderson, Karl Evan Smock
  • Stuecheli, Erica
  • Bowen, Michael Alexander
  • Darden, Randall J.

Abrégé

A method, system, and computer program product for bit flip aware latch placement in integrated circuit generation are provided. The method identifies a chip design for an integrated circuit. A set of chip design constraints, associated with the chip design, is identified. A set of checking groups, associated with a plurality of latches to be placed in the chip design, is determined. Based on the set of chip design constraints and the set of checking groups, a placement scheme for the plurality of latches is selected. The method places the plurality of latches within the chip design based on the placement scheme and the set of checking groups.

Classes IPC  ?

  • G06F 30/392 - Conception de plans ou d’agencements, p.ex. partitionnement ou positionnement
  • G06F 30/398 - Vérification ou optimisation de la conception, p.ex. par vérification des règles de conception [DRC], vérification de correspondance entre géométrie et schéma [LVS] ou par les méthodes à éléments finis [MEF]

82.

SYNTHETIC DATA GENERATION

      
Numéro d'application 17934261
Statut En instance
Date de dépôt 2022-09-22
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Lara, Victor
  • Gans, Steven
  • Gonzalez, Miguel Angel
  • Griffin, James Peter

Abrégé

Using a graphical user interface (GUI), a user is guided to generate a logical graph that represents how real data is generated in a situation. The situation is simulated using an artificial intelligence (AI) model a number of times by having the AI model choose paths through the logical graph to generate synthetic data that is representative of the real data. The AI model may also use a reward table that the user is guided to generate via the GUI to execute the simulation, wherein the reward table incentivizes certain paths of the logical graph, and agents of the AI model are trained using the values of this reward table. This synthetic data generated via the AI model can be used for training other AI models.

Classes IPC  ?

  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques

83.

DYNAMIC POD PRIORITY INFERENCE UTILIZING SERVICE MESH TELEMETRY DATA

      
Numéro d'application 17935592
Statut En instance
Date de dépôt 2022-09-27
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Ross, Martin A.
  • Evans, Jack William Donato
  • Powlett, Luke James
  • Stevenson, Jack Richard William

Abrégé

Dynamically calculating and re-calculating priority values for a set of microservices that are deployed and run in a containerized environment. Before new priority values are assigned to the microservices, an initial default priority value is assigned to a microservice of interest. When the microservice of interest is deployed and run in the containerized environment, the generated telemetry data is used, in part, as a basis to determine a frequency in which any given microservice is being utilized, and more particularly, the microservice of interest. Based upon the determined frequency, a role for the microservice of interest can be inferred. As a result, this inferred role for the microservice of interest is used to dynamically assign a current priority value for the microservice of interest.

Classes IPC  ?

  • G06F 9/48 - Lancement de programmes; Commutation de programmes, p.ex. par interruption
  • G06N 5/04 - Modèles d’inférence ou de raisonnement

84.

BACKSIDE POWER RAIL WITH TIGHT SPACE

      
Numéro d'application 17935138
Statut En instance
Date de dépôt 2022-09-26
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Xie, Ruilong
  • Motoyama, Koichi
  • Lanzillo, Nicholas Anthony
  • Yang, Chih-Chao

Abrégé

A first power rail directly below and connected to a source-drain epitaxy region of a positive field effect transistor (p-FET) region, a second power rail directly below and connected to a source-drain epitaxy region of a negative field effect transistor (n-FET) region, the first power rail and the second power rail each comprise vertical side surfaces which taper in an opposite direction from each other. Forming a first power rail by subtractive metal etch, where the first power rail is directly below and connected to a source-drain epitaxy region of a p-FET region and forming a second power rail by damascene process, where the second power rail is directly below and connected to a source-drain epitaxy region of an n-FET region, the first power rail and the second power rail each comprise vertical side surfaces which taper in an opposite direction from each other.

Classes IPC  ?

  • H01L 23/528 - Configuration de la structure d'interconnexion
  • H01L 21/02 - Fabrication ou traitement des dispositifs à semi-conducteurs ou de leurs parties constitutives
  • H01L 21/28 - Fabrication des électrodes sur les corps semi-conducteurs par emploi de procédés ou d'appareils non couverts par les groupes
  • H01L 21/8238 - Transistors à effet de champ complémentaires, p.ex. CMOS
  • H01L 27/092 - Transistors à effet de champ métal-isolant-semi-conducteur complémentaires
  • H01L 29/06 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices
  • H01L 29/417 - Electrodes caractérisées par leur forme, leurs dimensions relatives ou leur disposition relative transportant le courant à redresser, à amplifier ou à commuter
  • H01L 29/423 - Electrodes caractérisées par leur forme, leurs dimensions relatives ou leur disposition relative ne transportant pas le courant à redresser, à amplifier ou à commuter
  • H01L 29/66 - Types de dispositifs semi-conducteurs
  • H01L 29/775 - Transistors à effet de champ avec un canal à gaz de porteurs de charge à une dimension, p.ex. FET à fil quantique

85.

FLEXIBLE CONDUCTIVE ELECTROMAGNETIC COMPATIBILITY SHIELD

      
Numéro d'application 17934296
Statut En instance
Date de dépôt 2022-09-22
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Prisco, Joseph
  • Dixon, Jacob
  • Misgen, Marvin M.
  • Petrich, Michael Paul

Abrégé

An information technology system includes a housing, electronics arranged within the housing, and a flexible shield arranged within the housing. The electronics emit electromagnetic interference. The flexible shield is arranged such that at least some of the electromagnetic interference is incident upon a surface of the flexible shield. The flexible shield is configured to be alternately at rest and active. The surface of the flexible shield is substantially planar when the flexible shield is at rest and the surface of the flexible shield is undulating when the flexible shield is active.

Classes IPC  ?

  • H05K 9/00 - Blindage d'appareils ou de composants contre les champs électriques ou magnétiques

86.

MRAM DEVICE WITH ANNULAR ELECTRODES

      
Numéro d'application 17935146
Statut En instance
Date de dépôt 2022-09-26
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Van Der Straten, Oscar
  • Pancharatnam, Shanti
  • Yang, Chih-Chao

Abrégé

A semiconductor device including a magnetic tunnel junction (MTJ) stack vertically aligned between an annular shaped bottom electrode and an annular shaped top electrode. A semiconductor device including a MTJ stack, vertically aligned between an annular shaped bottom electrode and an annular shaped top electrode, and an encapsulation layer surrounding vertical side surfaces of the MTJ stack, wherein the encapsulation layer does not surround the top electrode nor the bottom electrode. Forming a bottom electrode in a first inter-layer dielectric, forming a reference layer on the first inter-layer dielectric and on the bottom electrode, forming a tunnel barrier layer on the reference layer, forming a free layer on the tunnel barrier layer and patterning the reference layer, the tunnel barrier layer and the free layer into a magnetic tunnel function (MTJ) stack vertically aligned over the bottom electrode, while not patterning the bottom electrode nor the first inter-layer dielectric.

Classes IPC  ?

  • H01L 43/02 - Dispositifs utilisant les effets galvanomagnétiques ou des effets magnétiques analogues; Procédés ou appareils spécialement adaptés à la fabrication ou au traitement de ces dispositifs ou de leurs parties constitutives - Détails
  • H01L 27/22 - Dispositifs consistant en une pluralité de composants semi-conducteurs ou d'autres composants à l'état solide formés dans ou sur un substrat commun utilisant des effets de champ magnétique analogues
  • H01L 43/12 - Procédés ou appareils spécialement adaptés à la fabrication ou le traitement de ces dispositifs ou de leurs parties constitutives

87.

MRAM STRUCTURE WITH CHIRAL SPIN-ORBIT-TORQUE METAL ELECTRODE

      
Numéro d'application 17953800
Statut En instance
Date de dépôt 2022-09-27
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Hashemi, Pouya
  • Sun, Jonathan Zanhong

Abrégé

A magnetoresistive random access memory (MRAM) structure is provided that includes a chiral spin-orbit-torque (SOT) metal bottom electrode under the bottom magnetic free layer where the chiral SOT metal bottom electrode is surrounded by a via dielectric. The chiral SOT metal bottom electrode enables the charge current, spin current and spin polarization directions to be in the same direction which is perpendicular to the surface of the chiral SOT via structure.

Classes IPC  ?

  • H01L 43/04 - Dispositifs utilisant les effets galvanomagnétiques ou des effets magnétiques analogues; Procédés ou appareils spécialement adaptés à la fabrication ou au traitement de ces dispositifs ou de leurs parties constitutives - Détails de dispositifs à effet Hall
  • H01L 27/22 - Dispositifs consistant en une pluralité de composants semi-conducteurs ou d'autres composants à l'état solide formés dans ou sur un substrat commun utilisant des effets de champ magnétique analogues
  • H01L 43/06 - Dispositifs à effet Hall
  • H01L 43/14 - Procédés ou appareils spécialement adaptés à la fabrication ou le traitement de ces dispositifs ou de leurs parties constitutives pour dispositifs à effet Hall

88.

COMPUTER GENERATED PRICING AND PROMOTIONS FOR PERSONALIZED SALE OF AN ITEM

      
Numéro d'application 17936229
Statut En instance
Date de dépôt 2022-09-28
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Nagar, Raghuveer Prasad
  • Jose, Reji
  • Arya, Vivek
  • Suri, Archana

Abrégé

Generation of pricing and promotions for personalized sale of an item includes receiving ordering data associated with an item from a user using an electronic shopping platform accessed via a user device. A failure of the user to complete a purchase order is determined using shopping cart activities of an ordering system. Based on a search pattern of the user received from the ordering system, a price of the item is identified as causing the determined failure of the user to complete the purchase order. Within a predefined time interval from the determined failure, a price range for the item is generated including a confidence score derived based on the search pattern of the user. Based on the confidence score of the generated price range exceeding a threshold, a final price recommendation for the item is generated and communicated to the user device.

Classes IPC  ?

  • G06Q 30/02 - Marketing; Estimation ou détermination des prix; Collecte de fonds
  • G06Q 30/06 - Transactions d’achat, de vente ou de crédit-bail

89.

Epitaxy Everywhere Based Self-Aligned Direct Backside Contact

      
Numéro d'application 17950316
Statut En instance
Date de dépôt 2022-09-22
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Xie, Ruilong
  • Choi, Kisik
  • Sankarapandian, Muthumanickam
  • Mochizuki, Shogo

Abrégé

Self-aligned direct backside contacts by an epitaxy everywhere under source/drain region approach are provided. In one aspect, a semiconductor device includes: a field-effect transistor(s) on a backside interlayer dielectric; an epitaxial contact placeholder in the backside interlayer dielectric that directly contacts a first source/drain region of the field-effect transistor(s); and a self-aligned direct backside contact in the backside interlayer dielectric that directly contacts a second source/drain region of the field-effect transistor(s). The epitaxial contact placeholder extends a distance d1 into the backside interlayer dielectric from the first source/drain region, and the self-aligned direct backside contact extends a distance d2 into the backside interlayer dielectric from the second source/drain region, where d2>d1. The field-effect transistor(s) can include a stack of active layers surrounded by a gate, and the first/second source/drain regions on opposite sides thereof. A method of fabricating the present semiconductor device is also provided.

Classes IPC  ?

  • H01L 29/423 - Electrodes caractérisées par leur forme, leurs dimensions relatives ou leur disposition relative ne transportant pas le courant à redresser, à amplifier ou à commuter
  • H01L 27/12 - Dispositifs consistant en une pluralité de composants semi-conducteurs ou d'autres composants à l'état solide formés dans ou sur un substrat commun comprenant des éléments de circuit passif intégrés avec au moins une barrière de potentiel ou une barrière de surface le substrat étant autre qu'un corps semi-conducteur, p.ex. un corps isolant
  • H01L 29/06 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices
  • H01L 29/40 - Electrodes
  • H01L 29/417 - Electrodes caractérisées par leur forme, leurs dimensions relatives ou leur disposition relative transportant le courant à redresser, à amplifier ou à commuter
  • H01L 29/66 - Types de dispositifs semi-conducteurs
  • H01L 29/786 - Transistors à couche mince

90.

MODIFICATION OF TARGETED OBJECTS WITHIN MEDIA BACKGROUND

      
Numéro d'application 17935175
Statut En instance
Date de dépôt 2022-09-26
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Braghin, Stefano
  • Levacher, Killian
  • Tuinhof, Hessel
  • Simioni, Marco

Abrégé

A system may receive inputs including a media, a targeted object keyword list, and a command. The system may feed expanded targeted object keywords into an object detector selector. The system may determine a target object area in the media, by the object detector selector using one or more object detector models. The system may feed the media, and the target object area into an area filler module. The system may generate a background, the area filler module in a target object area of the media.

Classes IPC  ?

  • G06T 11/40 - Remplissage d'une surface plane par addition d'attributs de surface, p.ex. de couleur ou de texture

91.

METHOD FOR DIGITAL ASSET TRANSACTIONS

      
Numéro d'application 17936063
Statut En instance
Date de dépôt 2022-09-28
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Suto, Tiberiu
  • Kwatra, Shikhar
  • Kochura, Nadiya
  • Khandelwal, Ayush
  • Fox, Jeremy R.

Abrégé

A computer-implemented method for digital asset transaction is disclosed. The computer-implemented method includes determining that a licensed material was used to generate a digital asset. The computer-implemented method further includes generating a smart contract for the digital asset, wherein one or more terms of the smart contract are based, at least in part, on one or more license terms associated with the licensed material. The computer-implemented method further includes identifying a transaction request for the digital asset. The computer-implemented method further includes authenticating the digital asset. The computer-implemented method further includes executing, in response to authenticating the digital asset, the generated smart contract for the digital asset.

Classes IPC  ?

  • G06Q 40/04 - Transactions; Opérations boursières, p.ex. actions, marchandises, produits dérivés ou change de devises
  • G06F 21/10 - Protection de programmes ou contenus distribués, p.ex. vente ou concession de licence de matériel soumis à droit de reproduction
  • G06Q 20/36 - Architectures, schémas ou protocoles de paiement caractérisés par l'emploi de dispositifs spécifiques utilisant des portefeuilles électroniques ou coffres-forts électroniques
  • G06Q 20/38 - Architectures, schémas ou protocoles de paiement - leurs détails
  • G06Q 20/40 - Autorisation, p.ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasin; Examen et approbation des payeurs, p.ex. contrôle des lignes de crédit ou des listes négatives
  • H04L 9/00 - Dispositions pour les communications secrètes ou protégées; Protocoles réseaux de sécurité
  • H04L 9/32 - Dispositions pour les communications secrètes ou protégées; Protocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système

92.

DETERMINING SAFETY LEVEL SCORES FOR TRAVEL PARKING SPOTS

      
Numéro d'application 17952582
Statut En instance
Date de dépôt 2022-09-26
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Karri, Venkata Vara Prasad
  • Sivaswamy, Hemant Kumar
  • Ghosh, Partho
  • Perumalla, Saraswathi Sailaja

Abrégé

Generating safety level scores of travel parking spots by an AI model trained by supervised learning using labeled online source data and static and dynamic IoT data, determining a current location and travel route of a vehicle, identifying potential travel parking spots within the geospatial area of the current location and travel route of the vehicle, receiving data from online sources and static and dynamic data of IoT devices in the vicinity of the travel parking spots, generating by the AI model, safety level scores for the travel parking spots within a geospatial area of the vehicle, and sending a listing of the safety level scores to a computing device associated with the vehicle.

Classes IPC  ?

  • G01C 21/34 - Recherche d'itinéraire; Guidage en matière d'itinéraire
  • G01C 21/36 - Dispositions d'entrée/sortie pour des calculateurs embarqués

93.

QUADRANT MATRIX BASED PRIORITY CALLS FOR FAILED DRIVES REPLACEMENT

      
Numéro d'application 17954780
Statut En instance
Date de dépôt 2022-09-28
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Patel, Maunik
  • Astigarraga, Tara
  • John, Jimmy Pazhoor
  • Hinds, Kieron Dirk Anthony

Abrégé

An approach for recommending a prioritized list of replacement of failed drives. The approach receives data associated with failed drives from data centers. The approach segregates the data into variable groups based on a data type. The approach creates a logical layer of entry lists, based on the units, for instantiations of the executable program. The approach sorts the data into priority groups based on priority rules associated with the variable groups and predetermined thresholds. The approach generates a prioritized list of failed drive replacement order based on an ensemble machine learning model. The approach outputs the prioritized list, replacement drive availability information and drive replacement personnel availability information.

Classes IPC  ?

  • G06F 11/20 - Détection ou correction d'erreur dans une donnée par redondance dans le matériel en utilisant un masquage actif du défaut, p.ex. en déconnectant les éléments défaillants ou en insérant des éléments de rechange

94.

AUTOMATION POWERED ENDPOINT LEGACY DUPLICITY

      
Numéro d'application 17953688
Statut En instance
Date de dépôt 2022-09-27
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Dauber, Melanie
  • Silverstein, Zachary A.
  • Jepperson, Jacob Ryan
  • Reynolds, Spencer Thomas
  • Fox, Jeremy R.

Abrégé

A method for data transfer from a legacy system to a modernized application alternative to the legacy system is provided. A Robotic Process Automation (RPA) agent monitors incoming legacy payloads. The RPA agent creates an integration pathway from the legacy system to the modernized application alternative to the legacy system. The RPA agent intercepts the incoming legacy payloads using any of payload injection, cancellation, or workflow interruption by integrating the RPA agent at a User Interface (UI) or an Application Programming Interface (API) level. The RPA agent captures the incoming legacy payloads. The RPA agent executes a determination of heritage, modernized, or mixed origination. The method also includes installing, through the integration pathway under a control of the RPA agent, portions of the legacy system corresponding to the incoming legacy payloads into the modernized application alternative to the legacy system responsive to the determination of heritage, modernized, or mixed origination.

Classes IPC  ?

  • G05B 19/4155 - Commande numérique (CN), c.à d. machines fonctionnant automatiquement, en particulier machines-outils, p.ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'u caractérisée par le déroulement du programme, c.à d. le déroulement d'un programme de pièce ou le déroulement d'une fonction machine, p.ex. choix d'un programme
  • G06F 8/61 - Installation
  • G06F 8/65 - Mises à jour
  • G06F 9/54 - Communication interprogramme

95.

SELF-CONTAINED CONVERSATIONAL EXPERIENCE PREVIEWING

      
Numéro d'application 17953443
Statut En instance
Date de dépôt 2022-09-27
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Akbulut, Muhtar Burak
  • Dhoolia, Pankaj
  • O'Connor, Dan
  • Stoneberg, Andy James
  • Ganesh Sekar, Venkat Raghavan

Abrégé

A plurality of constraints associated with conversational steps implemented by a conversation model is extracted from the conversation model. Using the conversational steps and the constraints, a directed graph is constructed, each node in the directed graph representing a conversational step, each directed edge in the directed graph representing a possible execution path from a first conversational step to a second conversational step. An edge in the graph is populated with flow data denoting a probability associated with the edge. By traversing a portion of the graph, an experience preview is generated, the experience preview demonstrating a user experience of a portion of the conversation model.

Classes IPC  ?

  • G06F 40/35 - Représentation du discours ou du dialogue
  • H04L 51/02 - Messagerie d'utilisateur à utilisateur dans des réseaux à commutation de paquets, transmise selon des protocoles de stockage et de retransmission ou en temps réel, p.ex. courriel en utilisant des réactions automatiques ou la délégation par l’utilisateur, p.ex. des réponses automatiques ou des messages générés par un agent conversationnel

96.

ADAPTIVE SPARE STAGES IN CONFIGURABLE VRM CARD

      
Numéro d'application 17953477
Statut En instance
Date de dépôt 2022-09-27
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Henspeter, Justin
  • Miller, Michael Lee
  • Swenson, Eric B.
  • Keuseman, Jordan

Abrégé

A discrete VRM card includes a first VRM controller and a second VRM controller. The discrete VRM card also includes a first primary power stage, a second primary power stage, and an adaptable spare stage. The discrete VRM card includes a first switch and a second switch. Closing the first switch connects the adaptable spare converter with an output of the first primary power stage. Closing the second switch connects the adaptable spare converter an output of the second primary power stage.

Classes IPC  ?

  • G05F 1/46 - Régulation de la tension ou de l'intensité là où la variable effectivement régulée par le dispositif de réglage final est du type continu

97.

ACTIVE BRIDGE FOR CHIPLET AND MODULE INTER-COMMUNICATION

      
Numéro d'application 17954107
Statut En instance
Date de dépôt 2022-09-27
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Kumar, Arvind
  • Divakaruni, Ramachandra
  • Farooq, Mukta Ghate
  • Golz, John W.
  • Han, Jin Ping
  • Meghelli, Mounir

Abrégé

A semiconductor integrated circuit device includes: an active bridge; a first chiplet and a second chiplet mounted onto the active bridge; and a short-to-long converter circuit (SLCC) that has analog and digital portions. The active bridge includes at least the analog portion of the SLCC, which is electrically connected to at least the first chiplet; and a short-reach physical layer that electrically connects the first chiplet and the second chiplet. The first chiplet includes a first logic core; a first chiplet interface that is electrically connected between the first logic core and the SLCC; and a second chiplet interface that is electrically connected between the first logic core and the second chiplet. The second chiplet includes a second logic core; and a third chiplet interface that is electrically connected between the second logic core and the second chiplet interface. The active bridge also can include a built-in-self-test (BIST) circuit.

Classes IPC  ?

98.

EVENT DRIVEN INTELLIGENT HYPERVISOR ON A SMART DEVICE

      
Numéro d'application 17934319
Statut En instance
Date de dépôt 2022-09-22
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Brewer, Derek
  • Wilhelm, Robert
  • Gullixson, Jon D
  • Llamas Virgen, Paul

Abrégé

The invention discloses a computer-implemented method, computer program product, and computer system, for utilizing a hypervisor installed on a smartphone running separate virtual machines (VMs), one configured for personal use and another for work use, thereby allowing for separate operating environments on one piece of hardware. The method includes receiving one or more notifications, or calls, on the smartphone and determining whether the one or more notifications, or calls, are during work hours. The method selects, automatically, the work VM as default if the one or more notifications, or calls, are during work hours. If the one or more notifications, or calls, are not during work hours, the method automatically selects the personal VM as default. The method further notifies a user to switch VMs if the one or more notifications, or calls, occur during a time that is a non-default VM.

Classes IPC  ?

  • H04M 1/72484 - Interfaces utilisateur spécialement adaptées aux téléphones sans fil ou mobiles où les fonctions sont activées par la réception d’une démarche de communication
  • G06F 9/455 - Dispositions pour exécuter des programmes spécifiques Émulation; Interprétation; Simulation de logiciel, p.ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
  • H04M 1/72451 - Interfaces utilisateur spécialement adaptées aux téléphones sans fil ou mobiles avec des moyens permettant d’adapter la fonctionnalité du dispositif dans des circonstances spécifiques basés sur des horaires, p.ex. utilisant des applications de calendrier

99.

DYNAMIC CUSTOMIZATION OF MEETING EXPERIENCES

      
Numéro d'application 17934582
Statut En instance
Date de dépôt 2022-09-23
Date de la première publication 2024-03-28
Propriétaire INTERNATIONAL BUSINESS MACHINES CORPORATION (USA)
Inventeur(s)
  • Price, Dana L.
  • Chalmers, Diane
  • Tsang, Nicholas

Abrégé

According to one embodiment, a method, computer system, and computer program product for dynamically customizing meeting experiences is provided. The embodiment may include initiating a video call. The embodiment may also include determining one or more sets of user preferences for one or more users. The embodiment may further include identifying visual characteristics of a main video stream on the video call. The embodiment may also include adjusting one or more visual characteristics of the main video stream according to the one or more sets of user preferences to create one or more custom video streams for the one or more users.

Classes IPC  ?

  • G06F 3/14 - Sortie numérique vers un dispositif de visualisation
  • G06T 3/40 - Changement d'échelle d'une image entière ou d'une partie d'image
  • G06T 11/00 - Génération d'images bidimensionnelles [2D]
  • H04N 5/262 - Circuits de studio, p.ex. pour mélanger, commuter, changer le caractère de l'image, pour d'autres effets spéciaux

100.

PREDICTIVE LEARNING FOR THE ADOPTION OF SYSTEM CHANGES

      
Numéro d'application 17935264
Statut En instance
Date de dépôt 2022-09-26
Date de la première publication 2024-03-28
Propriétaire International Business Machines Corporation (USA)
Inventeur(s)
  • Nguyen, Tram Thi Mai
  • Sinha, Prasoon
  • Sanders, Lee Jason
  • Raimondo, James

Abrégé

According to an aspect, a computer-implemented method includes receiving a request to evaluate an update to a computing system and obtaining a current configuration of the computing system. Aspects also include identifying one or more changes that the update will require to the current configuration and obtaining performance data corresponding to the one or more changes from a data repository. Aspects further include calculating a confidence score for the update based on the performance data and providing the computing system with the confidence score.

Classes IPC  ?

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