An example operation may include one or more of identifying, via a hybrid environment, components which are included in a software program within the hybrid environment, generating a software bill of materials (SBOM) for the software program which comprises names of the identified components, detecting that the software program does not comply with a predefined policy based on the names of the identified components within the SBOM, and displaying a notification via a user interface based on the detection.
Examples described herein provide a computer-implemented method that includes, in response to receiving a request against the workload in an environment comprising predetermined cloud-based containers, searching predetermined container runtime interface metadata across a plurality of compute nodes in the environment to locate runtime processes. The method further includes selecting, for each runtime process located, a respective applicable profiler from a set of predetermined profilers sharing a transactional database. The method further includes injecting, for each runtime process located, predetermined code libraries for each respective applicable profiler. The method further includes re-linking the predetermined code libraries for each respective applicable profiler. The method further includes executing, for each runtime process located, each respective applicable profiler to produce a set of results.
One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to a process to interpret results of a semantic clustering Structured Query Language (SQL) Cognitive Intelligence (CI) query. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise an interpretability component that can identify dominant traits of a query input to determine a ranking of query results by identifying influential tokens of the query input based on data statistics and observing the dominant traits in influential tokens of a query output. In one or more embodiments, the interpretability component can identify dominant traits of the query input by incorporating co-occurrence measurements.
Methods, systems, and computer program products for a joint prediction and improvement framework for machine learning models are provided herein. A method includes obtaining a machine learning model initialized with a set of parameters; identifying one or more actions based on test inputs corresponding to the machine learning model and historical actions related to a task, where the historical actions are dependent on respective historical outputs of the machine learning model; using the identified one or more actions to jointly compute: one or more first values corresponding to inference loss for the machine learning model; and one or more second values based at least in part on a computing cost function associated with the task; and updating the set of parameters of the machine learning model based on the one or more first values and the one or more second values.
Embodiments of present invention provide a method of forming a phase change memory device. The method includes forming a bottom electrode on a supporting structure; forming a first blanket dielectric layer, a phase-change material layer, a second blanket dielectric layer, and a hard mask sequentially on top of the bottom electrode; forming an inner spacer in an opening in the hard mask to modify the opening; extending the opening into the second blanket dielectric layer to create an extended opening; filling the extended opening with a heating element; etching the second blanket dielectric layer, the phase-change material layer, and the first blanket dielectric layer respectively into a second dielectric layer, a phase-change element, and a first dielectric layer; forming a conductive liner surrounding the phase-change element; and forming a top electrode on top of the heating element. A structure formed thereby is also provided.
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
6.
PROCESSING COMPLEX PACKED TENSORS USING INTEGRATED CIRCUIT OF REAL AND COMPLEX PACKED TENSORS IN COMPLEX DOMAIN
An example system includes a processor that can receive a number of complex packed tensors, wherein each of the complex packed tensors include real numbers encoded as imaginary parts of complex numbers. The processor can execute a single instruction, multiple data (SIMD) operation on the complex packed tensors using an integrated circuit of real and complex packed tensors in a complex domain to generate a result.
Systems and techniques that facilitate expectation value calculation by grouping Pauli-strings are provided. In various embodiments, a system can comprise an expectation component that calculate expectation values of two Pauli-strings based on a first bit series of a first Pauli-string of the two Pauli-strings and a second bit series of a second Pauli-string of the two Pauli-strings, wherein bit series comprise a first value for a position of an x or y in a Pauli string and a second value for a position of a non-x or y in the Pauli-string.
A computer-implemented method for saving, renaming, or moving a file includes receiving a request to save, rename or move a file, determining real-time context data and meta-data for the file in response to receiving the request to save, rename or move the file, generating a suggested pathname using the real-time context data and presenting the suggested pathname to a user. The suggested pathname may include a folder or directory name and a filename. The method may also include enabling the user to edit and approve the suggested pathname. Examples of context data include a password hint for the file, storage attributes for the file, collaboration data for the file, calendar data for the user, a file naming policy for an organization, real-time IoT data, and a topic determined from content within the file. A corresponding system and computer program product for executing the above method are also disclosed herein.
Computer-implemented methods for wireless power transfer among multiple vehicles are provided. Aspects include identifying a group of vehicles, from a plurality of vehicles, that require charging and identifying a wireless charging capability of each vehicle of the group of vehicles. Aspects also include deploying wireless power chargers to the vehicles of the group of vehicles that do not have wireless charging capability and charging each vehicle of the group of vehicles using a wireless power transfer module. The charging of the group of vehicles is performed while the vehicles are in motion.
B60L 53/126 - Procédés pour associer un véhicule et une station de charge, p.ex. en établissant une relation directe entre un transmetteur d'énergie sans fil et un récepteur d'énergie sans fil
B60L 53/36 - Moyens pour l’ajustement automatique ou assisté de la position relative des dispositifs de charge et des véhicules par le positionnement du véhicule
B60L 53/66 - Transfert de données entre les stations de charge et le véhicule
B64C 39/02 - Aéronefs non prévus ailleurs caractérisés par un emploi spécial
10.
DOMAIN ADAPTIVE SPEECH RECOGNITION USING ARTIFICIAL INTELLIGENCE
Methods, systems, and computer program products for domain adaptive speech recognition using artificial intelligence are provided herein. A computer-implemented method includes generating a set of language data candidates, each language data candidate comprising one or more graphemes, by processing a sequence of phonemes related to input speech data using an artificial intelligence-based data conversion model; determining, for a target pair of phonemes and graphemes, a subset of graphemes from the set of language data candidates; generating a first speech recognition output by processing the subset of graphemes using at least one biasing language model and an artificial intelligence-based speech recognition model; generating a second speech recognition output by replacing at least a portion of the subset of graphemes in the first speech recognition output with at least one of the graphemes from the target pair; and performing automated actions based on the second speech recognition output.
G10L 15/16 - Classement ou recherche de la parole utilisant des réseaux neuronaux artificiels
G10L 15/02 - Extraction de caractéristiques pour la reconnaissance de la parole; Sélection d'unités de reconnaissance
G10L 15/06 - Création de gabarits de référence; Entraînement des systèmes de reconnaissance de la parole, p.ex. adaptation aux caractéristiques de la voix du locuteur
G10L 15/30 - Reconnaissance distribuée, p.ex. dans les systèmes client-serveur, pour les applications en téléphonie mobile ou réseaux
Targeted acquisition of data for model training includes identifying attributes of classified samples of a collection of samples classified by a classification model, and generating at least one query based on the identified attributes, the at least one query tailored, based on the attributes, to retrieve additional training data for training the classification model to more accurately classify samples and avoid incorrect sample classification.
Embodiments of present invention provide a method of forming a MRAM structure. The method includes forming a sacrificial dielectric layer on top of a bottom contact; forming a stack of a first ferromagnetic layer, a tunnel barrier layer, a second ferromagnetic layer, and at least one hard mask on top of the sacrificial dielectric layer; forming an interlevel-dielectric (ILD) layer surrounding the stack; creating one or more via holes in the ILD layer to expose the sacrificial dielectric layer; selectively removing the sacrificial dielectric layer to create an opening underneath the first ferromagnetic layer; filling the opening with a first conductive material to form a bottom electrode; removing the at least one hard mask to expose the second ferromagnetic layer; and forming a top electrode of a second conductive material on top of the second ferromagnetic layer. An MRAM structure formed thereby is also provided.
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
13.
SEMICONDUCTOR STRUCTURE WITH FULLY WRAPPED-AROUND BACKSIDE CONTACT
H01L 29/06 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices
H01L 23/528 - Configuration de la structure d'interconnexion
H01L 27/092 - Transistors à effet de champ métal-isolant-semi-conducteur complémentaires
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 29/775 - Transistors à effet de champ avec un canal à gaz de porteurs de charge à une dimension, p.ex. FET à fil quantique
A semiconductor structure includes a backside power rail disposed in a backside dielectric layer, and dielectric spacer layers laterally extending inwardly from opposing sidewalls of the backside dielectric layer and on a portion of a bottom surface of the backside power rail.
An enhanced threat disposition analysis technique is provided. In response to receipt of a security threat identified in an alert, a threat disposition score (TDS) is retrieved. The TDS is generated from a machine learning scoring model that is built from information about historical security threats, including historical disposition of one or more alerts associated with the historical security threats. The TDS is based in part on an effectiveness of a prior calculated TDS to predict a particular historical disposition associated with the alert. The system augments an alert to include the threat disposition score, optionally together with a confidence level, to generate an enriched alert. The enriched alert is then presented to the security analyst for handling directly. Preferably, the machine learning model is updated continuously as the system handles security threats, thereby increasing the predictive benefit of the TDS scoring.
A probability distribution corresponding to the kernel function is determined and weights are sampled from the determined probability distribution corresponding to the given kernel function. Memristive devices of an analog crossbar are programmed based on the sampled weights, where each memristive device of the analog crossbar is configured to represent a corresponding weight. Two matrix-vector multiplication operations are performed on an analog input x and an analog input y using the programmed crossbar and a dot product is computed on results of the matrix-vector multiplication operations.
A computer-implemented method for virtual space insertion is provided. The computer-implemented method includes receiving first and second user inputs from users regarding user information and regarding a virtual space targeted for entry by each of the users, respectively, obtaining spatial and occupancy information of the virtual space, determining insertion point requirements for the entry of each of the users into the virtual space from the first user inputs, generating a self-similar geometric insertion point pattern compatible with the insertion point requirements to a first threshold and with the spatial and occupancy information to a second threshold and mapping an insertion point for the entry of each of the users into the virtual space to the self-similar geometric insertion point pattern.
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
G06V 10/74 - Appariement de motifs d’image ou de vidéo; Mesures de proximité dans les espaces de caractéristiques
A computer implemented method for spacing vehicles. A computer system simulates the vehicles moving on a road using a simulation system. The computer system determines an energy of the vehicles moving on the road using the simulation system. The computer system determines a desired spacing for the vehicles needed to reduce an undesired vehicle contact in response to an unexpected change in driving parameters for a number of the vehicles based on the energy of the vehicles moving on the road using the simulation system. The computer system performs a set of actions for the vehicles using the desired spacing determined for the vehicles.
A computer-implemented method according to one embodiment includes displaying an avatar associated with a second user on an augmented reality (AR) lens of a first communication device, in response to receiving, on the first communication device worn by a first user, a notification from a second communication device of the second user. The first user is monitored for a predetermined gesture. In response to a determination that the first user performs a first predetermined gesture, an action associated with the first predetermined gesture is performed by the first communication device. The method further includes outputting a response associated with the first predetermined gesture. The response indicates an availability of the first user to communicate with the second user.
G06T 19/00 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
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
H04L 51/224 - Surveillance ou traitement des messages en fournissant une notification sur les messages entrants, p.ex. des poussées de notifications des messages reçus
H04L 65/1069 - Gestion de session Établissement ou terminaison d'une session
20.
TASK DEPENDENCY EXTRACTION SHARING AND NOTIFICATION
A method, computer program product, and computer system are provided. A processor receives message data from a natural language conversation among participants in a project. A processor identifies at least two tasks mentioned in the message data. A processor determines a dependency between the at least two tasks based on the output of a sequential language model, where the messages associated with the at least two tasks are inputs to the sequential language model. A processor generates a directed graph depicting the at least two tasks and the determined dependency of the at least two tasks. A processor shares a directed graph across participants. A processor notifies participants who are blocked when dependent tasks are complete.
According to an aspect, a computer-implemented method includes identifying applications in a network environment that perform periodic data extraction and data transmission operations and identifying a frequency and a data transmission load for each of the operations. Aspects also include predicting an available bandwidth in the network environment based at least in part on the periodic data extraction and data transmission operations and based on a determination that the available bandwidth in the network environment will fall below a threshold value during a time interval instructing the applications to modify the one or more of the periodic data extraction and data transmission operations to increase the frequency associated with the one or more of the periodic data extraction and data transmission operations.
A computer-implemented method, according to one embodiment, includes monitoring, during a live web conference, audio and video data associated with participants of the live web conference. The participants include at least a first participant and a second participant. The method further includes analyzing the first participant's behavior to determine whether to classify the first participant's behavior as being indicative of sound-aware actions, and presenting information, based on the analysis, on a first user device of the first participant regarding audio and/or video data output from the first user device. A computer program product, according to another embodiment, includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method.
A computer-implemented method includes receiving a communication between first and second users via a communication channel associated with a communication space., and identifying the first user having a first role and the second user having a second role, a formality of the communication is determined based on the second role. The method includes identifying a transformer model for the communication space and monitoring the communication for an agreement clause via the transformer model by deriving an agreement clause based on the communication and classifying the derived agreement clause. The method includes searching a communication platform for an open communication corresponding to the classified agreement clause, and outputting a formal communication response via a communication channel, or outputting a second formal communication response, to the second user via the communication channel in response to finding, or not finding, respectively, the open communication corresponding to the classified agreement clause during the searching.
Computer-based provision of recommendations includes determining an item of interest to a user and a geographic region of the user. The item, as available from different e-commerce websites (websites) of geographic regions that are different from the geographic region of the user are aggregated within blockchain. Social network data for the user is retrieved and processed using natural language processing to determine contacts of the user located in the geographic regions of the websites. A likelihood of each contact traveling to the geographic region of the user is determined based on the social networking data. A website is selected that offers the item and that corresponds to a geographic region of a selected contact. The selected contact of the user has at least a minimum likelihood of traveling to the geographic region of the user. The selected website is presented to the user as an option for obtaining the item.
G06Q 30/06 - Transactions d’achat, de vente ou de crédit-bail
G06Q 10/08 - Logistique, p.ex. entreposage, chargement ou distribution; Gestion d’inventaires ou de stocks
G06Q 50/00 - Systèmes ou procédés spécialement adaptés à un secteur particulier d’activité économique, p.ex. aux services d’utilité publique ou au tourisme
25.
DYNAMIC MASSIVE MIMO END DEVICE PAIRING BASED ON PREDICTED AND REAL TIME CONNECTION STATE
A computer-implemented method for grouping devices in a massive multiple-input and multiple-output (MIMO)-based cellular network, in accordance with one embodiment, includes determining movement states of end devices in a cell of the massive MIMO-based cellular network, estimating payload requirements of the end devices, and grouping the end devices in a group based on the determined movement states and the estimated payload requirements.
A semiconductor structure comprises a first transistor, a second transistor vertically stacked over the first transistor, a source/drain region shared between the first transistor and the second transistor, and a resistive random-access memory device connected to the shared source/drain region.
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
Using labelled training content, a content classification model is trained. Using the trained content classification model, a label describing a first content is determined. The first content is classified into a category in a set of categories using the label. Responsive to the first content being classified into a category of inappropriate content, the first content is removed from a storage location.
H04N 21/231 - Opération de stockage de contenu, p.ex. mise en mémoire cache de films pour stockage à court terme, réplication de données sur plusieurs serveurs, ou établissement de priorité des données pour l'effacement
28.
METHOD AND SYSTEM OF THREE-DIMENSIONAL PRINTING TO PREPARE SURFACE FOR GRIPPING OF SUBSEQUENT LAYERS
A system for layer-by-layer three-dimensional (3D) printing of a 3D printed object. The system includes a printing component configured to print a plurality of layers to form the 3D printed object, a surface modification component configured to be co-operable with the printing component and configured to apply an appropriate degree of surface roughness to at least one of the plurality of layers after being printed, and a controller configured to identify parameters of each of the at least one of the plurality of layers and configured to control operation of the printing component and the surface modification component, wherein the parameters include the appropriate degree of surface roughness.
A method of effectuating abnormal bone curvature treatment using a generative adversarial network (GAN) is provided. The method includes training the GAN using treatment data for each of a plurality of abnormal bone curvature patients. The treatment data for each abnormal bone curvature patient includes a plurality of radiologic images taken during at least a partial treatment period and at least one orthotic used during the at least partial treatment period. An abnormal bone curvature is identified in a radiologic image for a new patient using the trained GAN. A plurality of artificial radiologic images is generated corresponding to different points in a treatment period of the new patient using the identified abnormal bone curvature and the corresponding radiologic image for the new patient as inputs to the trained GAN.
A computer-implemented method is provided for determining an action with respect to a given portfolio of items for supply chain management. The method includes acquiring, by a hardware processor, a feature vector for supply chain delivery trends, the given portfolio, and a current investment amount. The method further includes determining, by the hardware processor, whether a current supply chain delivery situation is normal or abnormal based on the feature vector. The method also includes performing a risk-avoidance action to reduce the current investment amount and avoid potential supply chain delivery losses, responsive to a determination that the current supply chain delivery situation is abnormal. The method additionally includes performing a risk adaptive action to increase the current investment amount and incur potential supply chain delivery gains by using a distributional reinforcement learning process, responsive to a determination that the current supply chain delivery situation is normal.
A corpus of source code from a code database is accessed and a language prediction model is trained based on the corpus of source code. A given program is accessed and a completion of a given line of the given program is predicted by performing inferencing using the language prediction model and at least a portion of the given program. The given line is completed based upon the prediction.
A determination is made via a computational device of an activity being performed by an entity in a virtual reality environment. An electronic subscriber identification module (eSIM) of a communications device of the entity is reconfigured in the virtual reality environment, in response to the determination of the activity being performed by the entity in the virtual reality environment.
H04W 8/18 - Traitement de données utilisateur ou abonné, p.ex. services faisant l'objet d'un abonnement, préférences utilisateur ou profils utilisateur; Transfert de données utilisateur ou abonné
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
A semiconductor structure is provided that includes a pFET located in a pFET device region, the pFET includes a first functional gate structure and a plurality of pFET semiconductor channel material nanosheets, and an nFET located in the nFET device region, the nFET includes a second functional gate structure and a plurality of pFET semiconductor channel material nanosheets. The pFET semiconductor channel material nanosheets can be staggered relative to, or vertically aligned in a horizontal direction with, the nFET semiconductor channel material nanosheets. When staggered, a bottom dielectric isolation structure can be located in both the device regions, and the second functional gate structures has a bottommost surface that extends beneath a topmost surface of the bottom dielectric isolation structure. When horizontally aligned, a vertical dielectric pillar is located between the two device regions.
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 29/06 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices
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
A computer-implemented method, in accordance with one aspect of the present invention includes, during movement of a vehicle, monitoring for a predetermined condition corresponding to potential presence of an animal on a roadway. In response to detecting the predetermined condition, a representation of at least a portion of the moving vehicle is projected for virtually increasing a visual size of the vehicle. The projected representation (also referred to as a projection) has a dimension that is greater than the portion of the moving vehicle corresponding to the representation.
H04N 9/31 - Dispositifs de projection pour la présentation d'images en couleurs
G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
G06V 20/58 - Reconnaissance d’objets en mouvement ou d’obstacles, p.ex. véhicules ou piétons; Reconnaissance des objets de la circulation, p.ex. signalisation routière, feux de signalisation ou routes
35.
LASER ON-DEMAND SCRAMBLING OF TWO-LEVEL SYSTEMS IN SUPERCONDUCTING QUBITS
Methods and systems for mitigating the effects of defects in a quantum processor are provided. A mitigation system uses an iterative process of applying light pulses and examining qubit relaxation times to eliminate or minimize two-level system (TLS) interaction with qubits. The system applies a first light pulse to illuminate a quantum processor having one or more qubits. The system receives qubit relaxation times that are measured at different electric field frequencies after applying the first light pulse. The system applies a second light pulse to illuminate the quantum processor upon determining that the received qubit relaxation times indicates presence of a strongly coupled TLS in the quantum processor
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
36.
SELECTIVE OPTICAL TUNING OF QUBIT TWO-LEVEL SYSTEM INTERACTIONS USING BANDPASS FILTERS
Methods and systems for mitigating the effects of defects in a quantum processor are provided. A mitigation system includes a quantum processor comprising a plurality of qubits. The system includes a light emitting source that can be tuned to produce light pulses of different wavelengths. The system includes an array of bandpass filters. Each bandpass filter is aligned with a qubit on the quantum processor and has a unique pass band. The system may include a controller configured to receive a selection of a qubit and to tune the light emitting source to emit a light pulse having a wavelength that falls within a range of a bandpass filter that is aligned with the selected qubit. The light pulse is used to scramble an ensemble of strongly coupled two-level system (TLS) in the processor.
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
Methods and systems for mitigating the effects of defects in a quantum processor are provided. A mitigation system includes a quantum processor having multiple qubits. The system includes an array of light emitting sources. Each light emitting source is aligned with a qubit on the quantum processor. The system includes a controller configured to receive a selection of a qubit and to enable a light emitting source from the array of light emitting sources to emit light to the selected qubit. The light is use to scramble strongly coupled two-level systems (TLSs) in the quantum processor.
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
38.
GENERATING INCIDENT EXPLANATIONS USING SPATIO-TEMPORAL LOG CLUSTERING
An embodiment includes detecting a set of anomalies recorded during a first predefined window of time in log entries for a computer environment. The embodiment also includes generating cluster data representative of a cluster of anomalies from among the set of anomalies, where the cluster is formed using a lattice clustering algorithm that spatially distinguishes the cluster of anomalies from other anomalies in the set of anomalies. The embodiment also includes composing an explanation using log templates generated from log entries associated with the cluster of anomalies.
A semiconductor structure is presented including a plurality of field effect transistor (FET) devices, each FET device having a different gate threshold voltage, first spacers disposed on sidewalls of each FET device, second spacers disposed over and in direct contact with the first spacers, the second spacers having a width greater than a width of the first spacers, and a gate contact directly contacting an FET device of the plurality of FET devices, where only an upper portion of the gate contact directly contacts third spacers on opposed ends thereof. The second spacers can have a bi-layer configuration and the gate contact wraps around a top portion of the FET device in direct contact with the gate contact.
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 21/768 - Fixation d'interconnexions servant à conduire le courant entre des composants distincts à l'intérieur du dispositif
H01L 21/8238 - Transistors à effet de champ complémentaires, p.ex. CMOS
A computer-implemented method, system and computer program product for efficient resource utilization. A workflow of manufacturing a product using various machines at each plant of an organization is created, where the workflow illustrates which machines are utilized to produce the product using one or more raw materials. A production rate for the product at each plant manufacturing the product is predicted based on the workflow. An amount of a raw material required by a first plant to produce the product is determined based on the predicted production rate for the product at the first plant. An amount of the raw material is then routed to the first plant from one or more other plants based on minimizing the system inventory carrying cost and minimizing the system transportation cost if the first plant needs an additional amount of the raw material to realize the predicted production rate for the product.
A semiconductor structure is provided including a backside source/drain contact structure that contacts a source/drain region of a transistor and overlaps a portion of a tri-layered bottom dielectric isolation structure that is located on a backside of the transistor. The presence of the tri-layered bottom dielectric isolation structure prevents shorting between the gate structure of the transistor and the backside source/drain contact structure, and thus improves process margin.
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
A contact structure having reduced middle-of-the-line (MOL) resistance is provided that includes a source/drain contact which includes a liner and a via contact that is liner-less. The via contact includes a first via portion having a first critical dimension and a second via portion having a second critical dimension that is greater than the first critical dimension. The second critical dimension provides a maximized via contact bottom critical dimension over the source/drain contact, while the first critical dimension provides sufficient area between the first via portion of the via contact and a neighboring electrically conductive structure thus avoiding any shorts between those two elements.
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 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
Techniques for automatically generating an API in response to a natural language input are provided. A method includes: receiving, by a processor set, a natural language input provided via a conversational user interface of a client device; determining, by the processor set, requirements of a new application programming interface (API) by analyzing the natural language input using natural language understanding; and automatically generating, by the processor set, the new API based on the requirements.
Embodiments of present invention provide a magnetic tunnel junction (MTJ) structure. The MTJ structure includes a MTJ stack, the MTJ stack including a tunnel barrier layer on a reference layer and a free layer on the tunnel barrier layer, wherein the free layer includes multiple sub free layers, the multiple sub free layers being multiple ferromagnetic strips placed parallel to each other on the tunnel barrier layer, the multiple ferromagnetic strips having respective first ends connected to a first electrode and respective second ends connected to a second electrode. A method of forming the MTJ structure is also provided.
H01L 43/08 - Résistances commandées par un champ magnétique
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 43/12 - Procédés ou appareils spécialement adaptés à la fabrication ou le traitement de ces dispositifs ou de leurs parties constitutives
45.
INTER-DOMAIN OPERATION IN OPEN RADIO ACCESS NETWORKS
A computer-implemented method includes creating an awareness module on a first near-Real-Time RAN Intelligent Controller (near-RT RIC) that controls a first domain. The first near-RT RIC identifies a second near-RT RIC that controls a second domain, which has a mutual impact on the first domain. The first near-RT RIC creates a first border state that represents attributes of the first near-RT RIC and the xApps of the first near-RT RIC. The first near-RT RIC receives from the second near-RT RIC, a second border state of the second near-RT RIC. The first near-RT RI generates, a policy for the first near-RT RIC and the second near-RT RIC by analyzing the first and second border states. The first near-RT RIC updates a parameter only if the policy allows a requesting xApp to update the parameter.
Disclosed embodiments provide techniques for monitoring, detecting, predicting, and mitigating electrostatic electricity accumulation. Electrostatic electricity is detected within a premises, via multiple electrostatic electricity sensors. The electrostatic electricity sensors, also referred to as electrostatic charge sensors can detect electrostatic electricity and/or electrostatic potential. Disclosed embodiments acquire electrostatic electricity data from multiple sensors. Other mechanical activity is also acquired via sensors and/or computer vision techniques. The mechanical activity can include motion of machines and/or people. Disclosed embodiments correlate levels of electrostatic electricity data to mechanical activity using machine learning. The machine learning system is used to predict future levels of electrostatic electricity based on proposed and/or mechanical activity, as well as automatically invoke mitigation steps and generate alert messages.
A method for determining a correlation of one or more events occurring in a plurality of nodes of a network includes accessing, by a computing device, address information associated with each of the plurality of nodes on the network. The computing device can further access one or more event IDs associated with one or more events occurring on the plurality of nodes. The computing device can further create an association the one or more events occurring on the plurality of nodes with related events occurring on others of the plurality of nodes, the association including the address information.
H04L 41/0631 - Gestion des fautes, des événements, des alarmes ou des notifications en utilisant l’analyse de la corrélation entre les notifications, les alarmes ou les événements en fonction de critères de décision, p.ex. la hiérarchie ou l’analyse temporelle ou arborescente
H04L 41/0604 - Gestion des fautes, des événements, des alarmes ou des notifications en utilisant du filtrage, p.ex. la réduction de l’information en utilisant la priorité, les types d’éléments, la position ou le temps
H04L 41/12 - Découverte ou gestion des topologies de réseau
Mechanisms are provided for improving performance of container images. Container image chunks are generated from a container image file and input into one or more trained machine learning (ML) computer models, trained to classify container image chunks with regard to a plurality of container image performance characteristic classifications. For each container image chunk it is determined whether the a corresponding classification is negative, and in response to the classification being negative, an entry in a knowledge base having patterns of content matching content in the container image chunk is identified to determine one or more reasons for modification of the chunk specified in the entry. A notification output is generated specifying the container image chunks, their corresponding container image performance characteristic classifications, and the reasons for modification of the chunks.
Embodiments of present invention provide a method of forming a MRAM structure. The method includes forming a blanket first ferromagnetic layer on top of a bottom electrode; etching the blanket first ferromagnetic layer to form a first ferromagnetic layer, the first ferromagnetic layer having an upper portion that has an angled edge and a lower portion that has a vertical edge; forming a blanket tunnel barrier layer on top of the first ferromagnetic layer and a blanket second ferromagnetic layer on top of the blanket tunnel barrier layer; patterning the blanket tunnel barrier layer and the blanket second ferromagnetic layer to form a tunnel barrier layer and a second ferromagnetic layer; and forming a top electrode on top of the second ferromagnetic layer. A MRAM structure formed thereby is also provided.
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
Embodiments of present invention provide a method of forming a MRAM structure. The method includes forming at least one magnetic tunnel junction (MTJ) stack on top of a supporting structure; forming a conformal liner surrounding a sidewall of the MTJ stack; forming a first dielectric layer surrounding the conformal liner; selectively forming a metal oxide layer on top of the conformal liner and the first dielectric layer, the metal oxide layer having at least a first opening that exposes a top surface of the MTJ stack; and forming a top contact contacting the top surface of the MTJ stack through the first opening in the metal oxide layer. An MRAM structure formed thereby is also provided.
H01L 43/08 - Résistances commandées par un champ magnétique
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 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 43/12 - Procédés ou appareils spécialement adaptés à la fabrication ou le traitement de ces dispositifs ou de leurs parties constitutives
51.
SEMICONDUCTOR STRUCTURE WITH WRAPPED-AROUND BACKSIDE CONTACT
A semiconductor structure includes a backside contact, and an unmerged source/drain region. The backside contact is wrapped-around the unmerged source/drain region.
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
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 29/423 - 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
52.
IDENTIFYING THE USER EXPERIENCE AND SLA FULFILLMENT IMPACT OF CONTROL APPLICATIONS PRIOR TO DEPLOYMENT
Embodiments of the invention provide a computer-implemented method that includes intercepting, using a controller of a programmable network (PN), a deployment of a control application in the PN. Responsive to intercepting the deployment of the control application, a user experience (UE) analysis is performed. The UE analysis includes determining, based at least in part on a set of digital twins, a UE impact of the control application; and, based at least in part on the UE impact, generating a UE-based control application deployment recommendation. The UE analysis further includes deploying the control application based at least in part on the UE-based control application deployment recommendation.
H04L 41/5019 - Pratiques de respect de l’accord du niveau de service
H04L 41/5009 - Détermination des paramètres de rendement du niveau de service ou violations des contrats de niveau de service, p.ex. violations du temps de réponse convenu ou du temps moyen entre l’échec [MTBF]
Techniques for audio understanding using fixed language models are provided. In one aspect, a system for performing audio understanding tasks includes: a fixed text embedder for, on receipt of a prompt sequence having (e.g., from 0-10) demonstrations of an audio understanding task followed by a new question, converting the prompt sequence into text embeddings; a pretrained audio encoder for converting the prompt sequence into audio embeddings; and a fixed autoregressive language model for answering the new question using the text embeddings and the audio embeddings. A method for performing audio understanding tasks is also provided.
Methods, systems, and computer program products for translating text using generated visual representations and artificial intelligence are provided herein. A computer-implemented method includes generating a tokenized form of at least a portion of input text in a first language; generating at least one visual representation of at least a portion of the input text using a first set of artificial intelligence techniques; generating a tokenized form of at least a portion of the at least one visual representation; and generating an output including a translated version of the input text into at least a second language by processing, using a second set of artificial intelligence techniques, at least a portion of the tokenized form of the at least a portion of the input text and at least a portion of the tokenized form of the at least a portion of the at least one visual representation.
G06F 40/58 - Utilisation de traduction automatisée, p.ex. pour recherches multilingues, pour fournir aux dispositifs clients une traduction effectuée par le serveur ou pour la traduction en temps réel
G06F 40/284 - Analyse lexicale, p.ex. segmentation en unités ou cooccurrence
Method, computer program product, and computer system are provided. A content generation service receives a request to generate a presentation for an online meeting having attendees comprising different roles. The content generation service receives content for a generic presentation. One or more portion of a page or an entire page of the generic presentation is defined as customizable. Labels are assigned to each of the customizable portions of the generic presentation. Each label is associated with a role of an attendee in the online meeting. Customized content is received for each customizable portion. The customized content is associated with the label of the customizable portion. The generated presentation is stored separately in content object storage, as is each associated customized content.
Within a database table being replicated from a source database to a target database, a first logged database operation on a database column holding large object (LOB) data is identified. The source database is queried for a plurality of rows of LOB data, each row in the plurality of rows of LOB data comprising LOB data stored in the database column holding LOB data. Responsive to determining that a first row of LOB data in the plurality of rows of LOB data is smaller than a message size threshold, the first row of LOB data is sent to the target database, the sending performed in a first message.
G06F 16/27 - Réplication, distribution ou synchronisation de données entre bases de données ou dans un système de bases de données distribuées; Architectures de systèmes de bases de données distribuées à cet effet
G06F 16/22 - Indexation; Structures de données à cet effet; Structures de stockage
A method of detecting seasonality in time series data includes receiving a set of time series data, analyzing the time series data to generate a power spectrum, the power spectrum indicative of power as a function of frequency, and selecting a peak in the power spectrum, the selected peak having a peak power. The method also includes performing an interpolation around the selected peak, and selecting a number of additional peaks having powers within a selected proportion of the peak power. The method further includes, based on the number of additional peaks being less than a threshold number, identifying the selected peak as representing a season having a seasonal length, and determining a seasonal length of the season based on a frequency at the identified peak.
G06F 17/18 - Opérations mathématiques complexes pour l'évaluation de données statistiques
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"
Techniques for facilitating utilizing a quantum computing circuit in conjunction with a stochastic control problem are provided. In one embodiment, a system is provided that comprises a quantum computing circuit that prepares a quantum state that represents a stochastic control problem. The system can further comprise a classical computing device that determines parameters for the quantum computing circuit.
G06N 7/08 - Agencements informatiques fondés sur des modèles mathématiques spécifiques utilisant des modèles de chaos ou des modèles de systèmes non linéaires
G06F 9/50 - Allocation de ressources, p.ex. de l'unité centrale de traitement [UCT]
G06F 15/16 - Associations de plusieurs calculateurs numériques comportant chacun au moins une unité arithmétique, une unité programme et un registre, p.ex. pour le traitement simultané de plusieurs programmes
G06F 17/11 - Opérations mathématiques complexes pour la résolution d'équations
G06N 10/00 - Informatique quantique, c. à d. traitement de l’information fondé sur des phénomènes de mécanique quantique
59.
MULTIMEDIA STREAM ENHANCEMENT AND TAILORED PROCESSING
Multimedia stream enhancement includes automatically analyzing a multimedia stream and identifying items of interest therein, building metadata, about the stream, that describes the identified items of interest and includes indications of each item of interest and a respective location of that item of interest, providing, by a stream producer device, the stream and the metadata to stream consumer devices, receiving feedback from at least one stream consumer device as the stream producer device provides the stream to the at least one stream consumer device, and using the feedback to generate updated metadata about the stream for provision to one or more stream consumer devices of the stream consumer devices.
H04N 21/84 - Génération ou traitement de données de description, p.ex. descripteurs de contenu
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
H04N 21/44 - Traitement de flux élémentaires vidéo, p.ex. raccordement d'un clip vidéo récupéré d'un stockage local avec un flux vidéo en entrée ou rendu de scènes selon des graphes de scène MPEG-4
A processor may form a first power line and a second power line. The processor may form a first memory cell with at least six transistors and a second memory cell with at least six transistors. The first pair of transistors of the first memory cell may be stacked vertically and connected at a common net. The common net may be arranged transverse to the first pair of transistors. The first pair of transistors may be configured to share the first power line. The second pair of transistors of the first memory cell may be stacked vertically and connected at a common net. The common net may be arranged transverse to the second pair of transistors. The second pair of transistors may be configured to share the second power line. The transistors of the first pair of transistors are configured to operate independently from the second pair of transistors.
Method and apparatus for transferring a data signal including receiving a digital data signal by a first input of a multiplexer of a transmitter operably coupled to a data link; transmitting, by a digital data signal output of the multiplexer, the digital data signal to a receiver that is operably coupled to the data link; receiving, by a selection signal input of the multiplexer, a first selection signal that indicates an idle mode for the transmitter; receiving, by a second input of the multiplexer, a patterned data signal; and transmitting, by the digital data signal output and in response to the first selection signal, the patterned data signal to the receiver.
In aspects of the disclosure, a method comprises training, by a computing system, a dynamics model of a cooperative multi-agent reinforcement learning (c-MARL) environment. The method further comprises processing, by the computing system, a perturbation optimizer to generate a state perturbation of the c-MARL environment, based on the dynamics model. The method further comprises selecting one or more agents of the c-MARL system as having enhanced vulnerability. The method further comprises attacking, by the computing system, the c-MARL system based on the state perturbation and the selected one or more agents.
A memory device includes a substrate and vertically stacked ferroelectric capacitors formed on the substrate. A first ferroelectric capacitor has a different capacitive output than a second ferroelectric capacitor when a constant voltage is applied. First and second electrodes are in electrical contact with the vertically stacked ferroelectric capacitors. In some instances, a first capacitor plate in the first ferroelectric capacitor and a second capacitor plate in the second ferroelectric capacitor have different thicknesses. The different thicknesses allow the capacitive output for each capacitor to produce different electric field outputs. Accordingly, a combination of different output signals can be produced based on different threshold voltage levels for each capacitor contributing to the output.
H01L 27/11507 - Mémoires mortes programmables électriquement; Procédés de fabrication à étapes multiples de ces dispositifs avec condensateurs ferro-électriques de mémoire caractérisées par la région noyau de mémoire
64.
MACHINE LEARNING-BASED PART SELECTION BASED ON ENVIRONMENTAL CONDITION(S)
Machine learning-based part selection in relation to one or more end use environmental conditions is provided. The process includes training a machine learning model to facilitate evaluation of a part for use in a product based on an environmental condition. Further, the process includes receiving measurement data for the part, and establishing a score for the part by comparing the measurement data for the part to a specification for the part. In addition, the method includes using the machine learning model and the established score for the part in determining whether to use the part in the product based on the environmental condition.
The present disclosure relates to method for monitoring a computer system. The computer system comprises a first processing unit and a monitoring unit for monitoring operation of the computer system. The method comprises: providing the computer system with a converter unit that is configured to communicate with the monitoring unit and the first processing unit. The converter unit may receive monitoring data from the monitoring unit. The received monitoring data may be pre-processed at the converter unit. The converter unit may send the resulting pre-processed data to at least one remote management system.
G06F 11/34 - Enregistrement ou évaluation statistique de l'activité du calculateur, p.ex. des interruptions ou des opérations d'entrée–sortie
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
A method, computer system, and a computer program product for storing a graph is provided. The present invention may include providing a key-value store. The present invention may include storing a graph in the key-value store, wherein storing a specific node of the graph in the key-value store comprises: storing, as a key, identifiers of the specific node and of k-hop neighborhood of the specific node, and as value of the key, attribute values of the specific node, wherein the k-hop neighborhood of the specific node comprises a set of neighboring nodes that are reachable from the specific node within k edges.
Embodiments of present invention provide a semiconductor structure. The semiconductor structure includes a first nanosheet transistor having a first source/drain (S/D) region; and a second nanosheet transistor on top of the first nanosheet transistor, the second nanosheet transistor having a second S/D region, the second S/D region being separated from the first S/D region by a dielectric cap layer, wherein the first S/D region of the first nanosheet transistor has a substantially flat top surface adjacent to the dielectric cap layer and has at least one vertical edge that is substantially aligned with an edge of the dielectric cap layer. A method of manufacturing the semiconductor structure is also provided.
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 27/088 - 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 uniquement des composants semi-conducteurs d'un seul type comprenant uniquement des composants à effet de champ les composants étant des transistors à effet de champ à porte isolée
H01L 29/06 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices
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
A device comprises a nondegenerate through quantum-limited amplifier comprising a first port, a second port, and a third port. The first port is configured to receive first quantum signals which comprise frequencies within a first frequency band. The second port is configured to receive second quantum signals which comprise frequencies within a second frequency band, which is non-overlapping with the first frequency band. The nondegenerate through quantum-limited amplifier is configured to amplify the first quantum signals, amplify and convert the frequencies of the second quantum signals to frequencies within the first frequency band, and output the amplified first quantum signals and the amplified frequency-converted second quantum signals from the third port.
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
69.
TRAINING A BIDIRECTIONAL ENCODER REPRESENTATIONS FROM TRANSFORMERS (BERT) MODEL TO GENERATE A SOFTWARE REPRESENTATION FROM AN INTERMEDIATE REPRESENTATION OF A SOFTWARE PACKAGE
A computer-implemented method according to one embodiment includes training a bidirectional encoder representations from transformers (BERT) model to generate a software representation. An intermediate representation (IR) of a software package is input to the trained BERT model, and a software representation corresponding to the software package is received as output from the trained BERT model. A computer program product according to another embodiment includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method. A system according to another embodiment includes a processor, and logic integrated with the processor, executable by the processor, or integrated with and executable by the processor. The logic is configured to perform the foregoing method.
One or more systems, devices, computer program products, and/or computer-implemented methods provided herein relate to accurate anomaly detection in images using patched features. According to an embodiment, an extraction component can extract multiple layers of features from one or more patches of an image using a pretrained convolutional neural network (CNN). A feature mapping component can concatenate the features from the multiple layers to generate a tensor feature map comprising a one-dimensional feature vector for respective patches. A cropping component can perform center cropping on the tensor feature map. A calculation component can calculate a distance to a feature distribution mean for respective patches.
Methods, systems, and computer program products for enhanced document ingestion using natural language processing are provided herein. A computer-implemented method includes identifying, within a first document, terms unknown to a first natural language processing model by processing the first document using the first natural language processing model; identifying, within a second document, terms known to a second natural language processing model by processing the second document using the second natural language processing model; comparing the terms unknown to the first natural language processing model to the terms known to the second natural language processing model; and upon determining that at least one of the terms unknown to the first natural language processing model matches at least one of the terms known to the second natural language processing model, reprocessing the first document using the second natural language processing model.
A semiconductor device includes backside power rails located between N channel field effect transistor to N channel field effect transistor spaces, and between at least one P channel field effect transistor to P channel field effect transistor space; and backside local signal lines located between the backside power rails.
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 27/088 - 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 uniquement des composants semi-conducteurs d'un seul type comprenant uniquement des composants à effet de champ les composants étant des transistors à effet de champ à porte isolée
H01L 29/06 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices
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
A semiconductor structure is presented including a first level of interconnect wiring, a second level of interconnect wiring disposed above the first level of interconnect wiring, a third level of interconnect wiring disposed above the second level of interconnect wiring, and a skip via extending from the third level of interconnect wiring to the first level of interconnect wiring such that a sidewall of the skip via maintains electrical contact with the second level of interconnect wiring. A contact area between the sidewall of the skip via and the second level of interconnect wiring is greater than a contact area between a bottom portion of the skip via and a top portion of the first level of interconnect wiring.
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 21/306 - Traitement chimique ou électrique, p.ex. gravure électrolytique
H01L 21/3205 - Dépôt de couches non isolantes, p.ex. conductrices ou résistives, sur des couches isolantes; Post-traitement de ces couches
H01L 23/528 - Configuration de la structure d'interconnexion
74.
PRICING ENGINE FOR CONSUMERS ON A CONSUMER-TO-CONSUMER SELLING PLATFORM
According to one embodiment, a method, computer system, and computer program product for utilizing a pricing engine is provided. The present invention may include analyzing pricing factors of one or more products in an online listing; recommending a best price proposal to list the one or more products based on the analyzed pricing factors; analyzing buyer factors of a potential buyer; and recalculating the best price proposal based on the analyzed buyer factors.
Computer implemented method, systems, and computer program products include program code executing on a processor(s) that determines that a user has purchased a product. The program code classifies, with at least one trained algorithm, the product into a product type classification. The program code implements one or more trigger events; based on each trigger event occurring, the processor(s) generates and transmits an inquiry to the user. The program code determines that a trigger event has occurred. The program code generates the inquiry, obtains responsive feedback, and generates a product review.
A method for contrastive learning by selecting dropout ratios and locations based on reinforcement learning includes receiving training data having a positive sample corresponding to a target and negative samples not corresponding to the target. A dropout policy for a neural network is produced based on the training data, where the dropout policy identifies at least one connection between neurons in the neural network to dropout. The training data is encoded, based on the dropout policy, to form embeddings, where the embeddings include multiple positive sample embeddings corresponding to the positive sample and multiple negative sample embedding corresponding to the negative samples.
A data processing system includes a system fabric coupling a coherence manager and an input/output (I/O) requestor. The I/O requestor issues a first snoop request of a first I/O store operation and a subsequent second snoop request of a second I/O store operation. Each of the first and second snoop requests specifies an update to a respective storage location identified by a coherent memory address. The I/O requestor receives respective ownership coherence responses for each of the first and second I/O store operations. The respective first and second ownership coherence responses indicate the coherence manager has concurrent coherence ownership of the memory address for both the first and second I/O store operations. In response to receipt of each of the ownership coherence responses, the I/O requestor issues respective first and second execute coherence responses to command the coherence manager to initiate updates to the respective storage locations.
G06F 12/0802 - 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
G06F 13/16 - Gestion de demandes d'interconnexion ou de transfert pour l'accès au bus de mémoire
78.
RECOMMENDING CHANGES IN THE DESIGN OF AN INTEGRATED CIRCUIT USING A RULES-BASED ANALYSIS OF FAILURES
A computer-implemented method, system and computer program product for recommending design changes in designing a digital integrated circuit. An analysis of the digital integrated circuit being designed is performed, where the result of such an analysis involves violations being identified and stored. A stored violation, such as a cross-domain, cross-hierarchy and multi-cycle violation, may then be analyzed to identify a root cause of the violation using a rule. Such a rule may be used for triaging various failures in the cross-domain, cross-hierarchy and/or multi-cycle violation of the digital integrated circuit. A design change in the design of the digital integrated circuit may then be recommended based on the identified root cause of the violation. In this manner, the root cause of failures are effectively identified in the design of digital integrated circuits using an offline analysis of cross-domain, cross-hierarchy and/or multi-cycle violations using a rules-based approach.
G06F 30/31 - Saisie informatique, p.ex. éditeurs spécifiquement adaptés à la conception de circuits
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]
A semiconductor structure includes a capacitor structure at least partially disposed in a trench of an interlayer dielectric layer. The capacitor structure includes first and second electrode layers separated by a dielectric layer. A top surface of the first electrode layer is below a top surface of the second electrode layer and the dielectric layer. A spacer is disposed on the first electrode layer and a contact is disposed in the trench and connected to the second electrode layer and the spacer.
Methods and systems for sentence acceptability judgment. A word frequency distribution for a predetermined textual data set is obtained. A replacement rate is determined based on an obtained word frequency distribution for a predetermined textual data set and every occurrence of a word having a frequency lower than the replacement rate is replaced in text of a training data set with a corresponding tag to generate revised text of the training data set (the training data set comprising at least a portion of the predetermined textual data set). A plurality of language models are trained with the revised text and a best performing trained language model of the plurality of trained language models is selected. An acceptability of each sentence of a plurality of candidate sentences is rated using the selected trained language model and a best sentence of the plurality of candidate sentences is selected based on the ratings.
Mechanisms are provided for fully homomorphic encryption enabled graph embedding. An encrypted graph data structure, having encrypted entities and predicates, is received and, for each encrypted entity, a corresponding set of entity ciphertexts is generated based on an initial embedding of entity features. For each encrypted predicate, a corresponding predicate ciphertext is generated based on an initial embedding of predicate features. A machine learning process is iteratively executed, on the sets of entity ciphertexts and the predicate ciphertexts, to update embeddings of the entity features of the encrypted entities and update embeddings of predicate features of the encrypted predicates, to generate a computer model for embedding entities and predicates. A final embedding is output based on the updated embeddings of the entity features and predicate features of the computer model.
A heat spreader apparatus includes a first portion; a second portion; and a connecting portion between the first and second portions, with high-conductivity axes and a low-conductivity axis, the low-conductivity axis being directed between the first and second portions. In one or more embodiments, the first, second, and connecting portions are thermally anisotropic blocks, and the apparatus forms a rectangular prism.
A computer-implemented method, system and computer program product for preserving concurrency and asynchronous execution for versioned documents. A versioned document is received to be uploaded onto a platform, such as a blockchain platform, where the metadata of the versioned document includes a first identifier representing a time at which the version of the versioned document came into existence. Furthermore, a second identifier is generated representing a specific state or instance of the versioned document with no relation to a logical order of the instance of the versioned document with respect to other versions of the versioned document. A document record may then be created for the versioned document which includes both identifiers. Such identifiers may be utilized by a distributed application, such as a blockchain application, to handle various types of requests from the users of the client devices while still preserving concurrency and asynchronous execution for versioned documents.
G06F 16/27 - Réplication, distribution ou synchronisation de données entre bases de données ou dans un système de bases de données distribuées; Architectures de systèmes de bases de données distribuées à cet effet
84.
TRAINING NEURAL NETWORKS WITH CONVERGENCE TO A GLOBAL MINIMUM
Select an initial weight vector for a convex optimization sub-problem associated with a neural network having a non-convex network architecture loss surface. With at least one processor, approximate a solution to the convex optimization sub-problem that obtains a search direction, to learn a common classifier from training data. With the at least one processor, update the initial weight vector by subtracting the approximate solution to the convex optimization sub-problem times a first learning rate. With the at least one processor, repeat the approximating and updating steps, for a plurality of iterations, with the updated weight vector from a given one of the iterations taken as the initial weight vector for a next one of the iterations, to obtain a final weight vector for the neural network, until convergence to a global minimum is achieved, to implement the common classifier.
A system, method, and computer program product perform audio-visual inspection at a surface of a liquid over machinery that is operating under the surface. The audio-visual inspection includes each of feeding surface wave movements into a neural network, feeding bubble formation pattern into the neural network, feeding bubble dimensions into the neural network, and feeding underwater acoustic information to the neural network. The system, method, and computer program product further identify, using the neural network, a statistical anomaly from the audio-visual inspection indicating an anomaly of the performance of the machinery.
One or more magnetic tunneling junction (MTJ) pillars are disposed on a substrate. The pillars have one or more magnetic reference layers and one or more magnetic free layers. The magnetic free layers have one or more external surfaces and are made of a magnetic free layer material containing atomic percentage amount of boron. A boron-containing encapsulation layer encapsulates the MTJ pillar(s) and is in direct contact with the magnetic free layer external surfaces. The boron-containing encapsulation layer contains an atomic percentage amount of boron greater than the magnetic free layer atomic percentage amount of boron. Embodiments of the boron-containing encapsulation layer contain at least 95 percent pure boron and are between 1 and 3 nanometers thick. Accordingly, the boron-containing encapsulation layer controls and limits the amount of boron diffusing out of the magnetic free layer across a boron diffusion interface formed between the magnetic free layer external surfaces and the boron-containing encapsulation layer. Alternative embodiments of boron-containing encapsulation layers and methods of making MTJ devices are disclosed.
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
Generating a neural network model for producing explainable prediction outputs for input data samples is provided. Training dataset of data samples are provided, each having a prediction label indicating a desired prediction output from the model for that sample, and a set of concept vectors are defined comprising a plurality of concept vectors which are associated with respective predefined concepts characterizing information content of the data samples. A set of input vectors are produced from each data sample. A neural network model is trained that includes a cross-attention module for producing a sample embedding for a data sample and a prediction module for producing a prediction output from the sample embedding.
An approach is disclosed for processing one or more HTTP requests and responses, by a protection solution, where a version of the plurality of HTTP requests and responses is at least version 2. When an HTTP settings request is detected in the one or more HTTP requests, by the protection solution, a protected dynamic dictionary is allocated in a protected memory area and an allocation of an application dynamic dictionary in application space in an HTTP server is prevented. When an HTTP header request is detected in the one or more HTTP requests, fields of the HTTP header are decompressed into the protected dynamic dictionary, the HTTP header request is updated to form an updated header request based on content in the protected dynamic dictionary, and the updated header request is sent to the HTTP server.
The present disclosure relates to a quantum system of dimension M comprising a transmon device. The transmon device is in an initial state ρini which is restricted to a state ρS of a N-dimensional quantum system embedded in the quantum system, where N
Provided are a computer program product, system, and method for sorting documents according to comprehensibility scores determined for the documents. A document has sections of text associated with topics. A determination is made of familiarity scores for a user for the topics associated with the sections of text in the document. A determination is made of a comprehensibility score of the document, indicating comprehensibility of the document to the user, as a function of the determined familiarity scores for the topics in the document. The comprehensibility score for the document is used to determine an order in which to present the document to the user with a group of documents.
One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to detecting a closed ring in a three-dimensional (3D) point cloud via cycle basis. A system can comprise a memory configured to store computer executable components; and a processor configured to execute the computer executable components stored in the memory, wherein the computer executable components can comprise a filtering component that can filter a first undirected graph of a three-dimensional (3D) point cloud, by eliminating one or more edges of the first undirected graph that are longer than an adaptive threshold, wherein filtering the first undirected graph can produce a second undirected graph; and a detection component that can detect a minimum cycle basis of the second undirected graph to determine a cycle path that can traverse an irregular annular shape that is represented by the 3D point cloud.
A method is provided for identifying topography in a locality. The topography includes horizontal surfaces and vertical surfaces. Sunlight exposure incident to the identified topography is identified. The intensity of the identified sunlight exposure and variation over time is analysed. Crop types for growing on the topography based on the analysed intensity of sunlight exposure and variation over time are identified.
A semiconductor structure includes a shallow trench isolation region disposed within a semiconductor substrate, and a conductive spacer disposed within the shallow trench isolation region.
H01L 29/06 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices
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
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
A computer implemented method manages connections in a connection pool. A computer system creates a modified call stack for a connection request in response to receiving the connection request. The modified call stack comprises elements that call prepared statements that are part of an application logic for the connection request. The computer system identifies a group of potential connections from the connections in the connection pool matching the connection request. The group of potential connections is associated with a group of associated modified call stacks that call the prepared statements. The computer system determines a group of weighted match scores for the group of associated modified call stacks from a comparison of the modified call stack with the group of associated modified call stacks. The computer system selects a connection from the group of potential connections based on a highest weighted match score in the group of weighted match scores.
Prioritizing a work request pertaining to a physical asset can include generating a data structure that encodes the work request as a multidimensional representation indicating at least one classification, each at least one classification including at least one sub-category. In response to identifying multiple work requests encoded as multidimensional representations with respect to the physical asset, each multidimensional representation can be reduced to a one-dimensional (1-D) representation that preserves a variance factor of each sub-category of each multidimensional representation. Each 1-D structure can be input to a machine learning model trained to prioritize each of the work requests. The work requests can be prioritized in accordance with the machine learning model based on the 1-D structures. The priorities of each of the work requests can be output.
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
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
96.
SYLLABLE-BASED TEXT CONVERSION FOR PRONUNCIATION HELP
A method, computer system, and a computer program product for syllable-based pronunciation help are provided. An input text in a first language may be received. A selection of a target language that is different from the first language may be received. From the target language, syllables with a pronunciation most closely matching a pronunciation of the input text in the first language are obtained. The obtaining is based on a comparison of one or more spectrograms for the input text with one or more spectrograms for text of the target language. The obtained syllables in the target language are presented.
G09B 5/06 - Matériel à but éducatif à commande électrique avec présentation à la fois visuelle et sonore du sujet à étudier
G10L 13/08 - Analyse de texte ou génération de paramètres pour la synthèse de la parole à partir de texte, p.ex. conversion graphème-phonème, génération de prosodie ou détermination de l'intonation ou de l'accent tonique
G10L 25/18 - Techniques d'analyses de la parole ou de la voix qui ne se limitent pas à un seul des groupes caractérisées par le type de paramètres extraits les paramètres extraits étant l’information spectrale de chaque sous-bande
A method, system, and computer program product for managing a storage array in a storage system, the storage array comprising a first and second data blocks comprising: receiving a set of cryptographic values from the storage array, the set comprising a first value associated with the first data block, and a second value associated with the second data block; analysing the set of cryptographic values to determine a set of associations, the set of associations comprising a first association between the first data block and the second data block, storing the set of associations; and in response to determining the set of associations, performing a storage management operation on at least one of the first data block and the second data block.
A semiconductor structure is presented including a bottom field effect transistor (FET) including a plurality of bottom source/drain (S/D) epi regions, a top FET including a plurality of top S/D epi regions, a bonding dielectric layer disposed directly between the bottom FET and the top FET, and a node contact advantageously extending from a bottom S/D epi region of the plurality of bottom S/D epi regions of the bottom FET through the bonding dielectric layer and into the top FET. The bottom FET includes an inverter gate. The top FET electrically connects to back-end-of-line (BEOL) components and the bottom FET electrically connects to a backside power delivery network (BSPDN).
A method, system, and computer program product are disclosed for implementing enhanced expertise and evidence based decision making in knowledge-based applications. Expertise and evidence based decision making operations include differentiating between an average user and an expert user, and using real time feedback from expert users to update and embed expert knowledge into a predefined baseline command sequence model for a given task or problem.
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
A computer-implemented method or protecting a machine-learning model against training data attacks is disclosed. The method comprises performing an initial training of a machine-learning system with controlled training data, thereby building a trained initial machine-learning model and identifying high-impact training data from a larger training data set than in the controlled training data, wherein the identified individual training data have an impact on a training cycle of the training of machine-learning model, wherein the impact is larger than a predefined impact threshold value. The method also comprises building an artificial pseudo-malicious training data set from the identified high-impact training data and retraining the machine-learning system comprising the trained initial machine-learning model using the artificial pseudo-malicious training data set.
G06F 21/52 - Contrôle des usagers, programmes ou dispositifs de préservation de l’intégrité des plates-formes, p.ex. des processeurs, des micrologiciels ou des systèmes d’exploitation au stade de l’exécution du programme, p.ex. intégrité de la pile, débordement de tampon ou prévention d'effacement involontaire de données
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