An embodiment includes loading a plurality of data sources where each data source is comprised of content of interest. The embodiment also includes scanning the plurality of data sources for the content of interest. The embodiment also includes detecting the content of interest from scanning the plurality of data sources where detecting is based on a key word search. The embodiment also includes organizing the content of interest as data elements, based on a topic modeling technique. The embodiment also includes distributing the data elements into a plurality of topics based on a Latent Dirichlet Allocation technique. The embodiment also includes merging the data elements within each of the topics. The embodiment also includes generating a document with the topics into one or more filtered lists, based on the key word search.
G06F 16/907 - Recherche caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement
A computer system, computer readable storage medium, and computer-implemented method for retrograding an instruction stream to enhance random test generation. The method includes generating a test case for a design-under-test (DUT) comprising positioning one or more placeholder instructions in the test case. The method also includes identifying one or more benefiting instructions. The method further includes executing the test case by replacing the one or more placeholder instructions with one or more respective retrograding instructions. The one or more retrograding instructions influence the one or more benefiting instructions.
A semiconductor device includes a stacked transistor structure having field effect transistors on two levels. The two levels include a top side and a bottom side. Active regions are disposed on the bottom side including a leveled surface facing the top side and a faceted backside surface opposite the leveled surface. The leveled surface includes two different semiconductor materials. A backside contact in contact with the faceted backside surface forms a wraparound contact to reduce contact resistance.
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 29/423 - 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 method for detecting content generated by artificial intelligence is disclosed. In one embodiment, such a method includes monitoring interaction between a user and a generative AI model. The method intercepts a response returned from the generative AI model to the user and embeds, within the response prior to its return to the user, codes that are invisible to the user when viewing the response. In certain embodiments, these codes are embedded within the response in a particular invisible code insertion pattern to indicate that the response was generated by the generative AI model. The method returns the response to the user for viewing. A third party may utilize the embedded codes to determine whether the response was generated by the generative AI model. A corresponding system and computer program product are also disclosed herein.
H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
5.
ULTRA-THIN PHASE-CHANGE MEMORY DEVICE WITH LATERAL ELECTRODE CONFIGURATION
The invention is directed to a phase-change memory (PCM) device. The device includes an electrically insulating material and a PCM cell, which is embedded in the electrically insulating material. The PCM cell includes a phase-change material layer (or PCM layer, for short), e.g., a layer including a germanium-antimony-tellurium alloy. The PCM layer has a top surface, a bottom surface, and a side surface linking the top surface and the bottom surface. The PCM cell further includes an outer electrode, which contacts the side surface of the PCM layer. That is, the outer electrode laterally caps the PCM layer. The PCM cell further includes a heater extending at least partially through the PCM layer, transversely to the top surface and the bottom surface of the PCM layer, to contact the PCM layer.
H10N 70/00 - Dispositifs à l’état solide n’ayant pas de barrières de potentiel, spécialement adaptés au redressement, à l'amplification, à la production d'oscillations ou à la commutation
G11C 13/00 - Mémoires numériques caractérisées par l'utilisation d'éléments d'emmagasinage non couverts par les groupes , ou
H10B 63/10 - Dispositifs RAM à changement de phase [PCRAM, PRAM]
H10N 70/20 - Dispositifs de commutation multistables, p. ex. memristors
An approach for improving completely automated public turing test to tell computers and humans apart (CAPTCHA) reliability for a resource. The approach receives a request for a CAPTCHA validation from a user. The approach retrieves a CAPTCHA analysis configuration associated with the user. The approach displays a CAPTCHA multi-zone display defined by the configuration. The approach receives video input containing adjunct objects, associated with objects visible on the user, from the user for the multi-zone display. The approach determines if the inputs are valid based on the CAPTCHA analysis configuration. The approach, responsive to the inputs being valid, allows access to the resource.
A computer-implemented method, system, and computer program product for adapting scripts from a source platform to be utilized in a target platform when porting. Traces of system calls from the commands in the source and target platforms are analyzed to identify building blocks. A tree structure for each command of the source and target platforms is constructed with one or more building blocks from the identified building blocks. Commands of the target platform with a functionality within a threshold degree of similarity to the commands of the source platform are identified by analyzing the building blocks of the commands' tree structures. Alternative commands for the commands of the source platform, such as those commands that are not supported by the target platform, may be generated using such identified commands. The script from the source platform may then be adapted to be utilized in the target platform using such alternative commands.
One embodiment of the invention provides a method for generating and ranking potential barriers that prevent completion of a structured process. The method comprises receiving a textual description of the structured process, receiving one or more templates relating to the structured process, and identifying a set of user actions required to complete the structured process based on the textual description. The method further comprises expanding the set of user actions based on general knowledge to include one or more additional actions, and updating the one or more templates based on the expanded set of user actions. The method further comprises generating, using at least one generative language model, a set of potential barriers that prevent completion of the structured process based on the one or more updated templates.
G16H 50/70 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour extraire des données médicales, p. ex. pour analyser les cas antérieurs d’autres patients
G16H 10/20 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des essais ou des questionnaires cliniques électroniques
Mechanisms for performing cross-screen movement operations in a multiple display device computer configuration are provided. An input is received, from a user interface device, that specifies a movement of a displayed element on a first display screen of the multiple display device computer configuration. A path of motion of the displayed element is calculated and compared to a junction margin of the first display screen to determine if the path of motion intersects the junction margin. In response to the path of motion intersecting the junction margin, the displayed element is placed at a first point of the junction margin. In response to receiving a subsequent input having a subsequent path of motion that intersects the junction margin, performing a cross-screen movement operation moving the displayed element to an end point of the subsequent path of motion in the second display screen.
G06F 3/04812 - Techniques d’interaction fondées sur l’aspect ou le comportement du curseur, p. ex. sous l’influence de la présence des objets affichés
G06F 3/0354 - Dispositifs de pointage déplacés ou positionnés par l'utilisateurLeurs accessoires avec détection des mouvements relatifs en deux dimensions [2D] entre le dispositif de pointage ou une partie agissante dudit dispositif, et un plan ou une surface, p. ex. souris 2D, boules traçantes, crayons ou palets
Techniques are provided for global query optimization. In one embodiment, the techniques involve receiving an input query, generating query candidates based on the input query, determining ratings of the query candidates, selecting a primary query of the query candidates based on the ratings of the query candidates, comparing a rating of the primary query to a query threshold, and generating a recommended query based on the rating.
A method, computer program product and computer system to evaluate maintenance performance in a data center is provided. A processor provides an augmented reality device to a user performing a maintenance procedure, where the augmented reality device displays a guidance script to the user while performing the maintenance procedure. A processor determines an initial base cost associated with the maintenance procedure. A processor retrieves user activity data regarding the performance of the maintenance procedure. A processor determines an activity cost of the user performing the procedure. A processor, in response to the activity cost varying a threshold amount from the initial base cost, adjusts the initial base cost of the maintenance procedure based on the activity data of the user regarding the performance of the maintenance procedure.
Providing individualized answers to questions including receiving a question input by a user, identifying a topic of the question and a user's reading level, mapping the topic to an answer generator and knowledge graph according to the user's reading level. Also including generating a response to the question according to the knowledge graph and providing the response to the user.
Systems and techniques that facilitate dynamic load scheduling are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory that can execute the computer executable components stored in memory. The computer executable components can comprise a carbon footprint component that generates estimated carbon footprints of a plurality of tasks for a plurality of datacenters based on carbon intensity forecasts and estimated workload requirements of the task, wherein the carbon intensity forecasts comprise ancillary carbon output, marginal carbon output, and average carbon output; and a scheduling component that schedules the plurality of tasks for one or more datacenters selected from the plurality of datacenters based on the estimated carbon footprints.
A computer-implemented method, a computer system and a computer program product orchestrate event-driven workloads in a satellite environment. The method includes receiving a workload from a client for deployment to a satellite in a plurality of satellites, where the workload includes requirements. The method also includes obtaining satellite data for each satellite in the plurality of satellites, where the satellite data includes a capability of the satellite and a current status of the satellite. The method further includes determining that the capability of the satellite satisfies the requirements of the workload. In addition, the method includes identifying a relevant satellite in the plurality of satellites based on the current status of the satellite. Lastly, the method includes deploying the workload to a ground station associated with the relevant satellite.
Self-tuning merged code testing is provided which includes testing merged code using a suite of test cases, where the merged code includes one or more code changes, and obtaining, based on the testing, a test case failure using the suite of test cases. Further, the process includes determining, using an artificial intelligence engine, a likely faulty code change of the one or more code changes resulting in the test case failure, and customizing, based on the likely faulty code change, the suite of test cases to facilitate verifying that the likely faulty code change is a faulty code change. In addition, the process includes continuing testing of the merged code using the customized suite of test cases to facilitate verifying that the likely faulty code change is the faulty code change.
A semiconductor device including a metal insulator metal capacitor (MIM capacitor) within back end of line circuitry of the semiconductor device, and an outer plate contact opening of an outer plate of the MIM capacitor, wherein a portion of an inner plate is removed, where portions of the outer plate are removed from corners of the outer plate opening. A metal insulator metal capacitor (MIM capacitor) within back end of line circuitry of the semiconductor device, and a non-rectangular contact opening of an outer plate of the MIM capacitor. Forming a metal insulator metal capacitor (MIM capacitor) within back end of line circuitry of the semiconductor device, and an outer plate contact opening of an outer plate of the MIM capacitor, where a portion of an inner plate is removed, where portions of the outer plate are removed from corners of the outer plate opening.
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 23/528 - Configuration de la structure d'interconnexion
17.
SWARM ROBOT COLLABORATION FOR LIGHT BEAM MODULATION
One or more systems, methods, and/or computer program products of use provided herein relate to swarm robot collaboration for light beam modulation. A system can comprise a photosensitive resin tank. The system can further comprise a plurality of swarm robots moving inside the photosensitive resin tank, where respective swarm robots can occupy positions relative to one another to modulate respective direction of light beams emitted by a subset of the plurality of swarm robots.
G05B 19/4155 - Commande numérique [CN], c.-à-d. machines fonctionnant automatiquement, en particulier machines-outils, p. ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'un programme sous forme numérique caractérisée par le déroulement du programme, c.-à-d. le déroulement d'un programme de pièce ou le déroulement d'une fonction machine, p. ex. choix d'un programme
B29C 64/124 - Procédés de fabrication additive n’utilisant que des matériaux liquides ou visqueux, p. ex. dépôt d’un cordon continu de matériau visqueux utilisant des couches de liquide à solidification sélective
B29C 64/268 - Agencements pour irradiation par faisceaux laserAgencements pour irradiation par faisceaux d’électrons [FE]
B29C 64/393 - Acquisition ou traitement de données pour la fabrication additive pour la commande ou la régulation de procédés de fabrication additive
B33Y 30/00 - Appareils pour la fabrication additiveLeurs parties constitutives ou accessoires à cet effet
B33Y 50/02 - Acquisition ou traitement de données pour la fabrication additive pour la commande ou la régulation de procédés de fabrication additive
G05D 1/00 - Commande de la position, du cap, de l'altitude ou de l'attitude des véhicules terrestres, aquatiques, aériens ou spatiaux, p. ex. utilisant des pilotes automatiques
18.
Next Event and Frame Prediction System for Live Video
A computer implemented method predicts a next frame. A number of processor units receives a sequence of frames for a live video stream for an activity. The number of processor units predicts a next frame for the live video stream for using the sequence of frames for the activity. The number of processor units determines a set of advertisement spaces in the next frame predicted for live video stream.
H04N 21/25 - Opérations de gestion réalisées par le serveur pour faciliter la distribution de contenu ou administrer des données liées aux utilisateurs finaux ou aux dispositifs clients, p. ex. authentification des utilisateurs finaux ou des dispositifs clients ou apprentissage des préférences des utilisateurs pour recommander des films
Method and apparatus for utilizing machine learning models to simulate and predict proactive actions in digital modeling. Data is collected from one or more sensors in a physical environment. A digital model depicting physical machinery in the physical environment is generated based on the sensor data. One or more operations of the physical machinery is simulated based on the digital model and the sensor data. Thermal conditions of the physical environment is predicted, using a machine learning (ML) model, based on the simulating of the operations and the sensor data. A recommendation comprising one or more proactive actions to mitigate potential thermal issues is generated, based on the predicted thermal conditions. The predicted thermal conditions, the identified potential thermal issues, and the one or more proactive actions are projected into the digital model via an augmented-reality (AR) display.
G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p. ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
A fuse structure including a first conductive line and a second conductive line, a first metal pillar extending vertically from a top surface of the first conductive line and a second metal pillar extending vertically from a top surface of the second conductive line, a conductive link electrically connecting a top surface of the first metal pillar with a top surface of the second metal pillar, where both the first conductive line and the second conductive line are a different material than both the first metal pillar and the second metal pillar, and where both the first metal pillar and the second metal pillar are a different metal than the conductive link.
H01L 23/525 - 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 avec des interconnexions modifiables
H01L 23/528 - Configuration de la structure d'interconnexion
H01L 23/532 - Dispositions pour conduire le courant électrique à l'intérieur du dispositif pendant son fonctionnement, d'un composant à un autre comprenant des interconnexions externes formées d'une structure multicouche de couches conductrices et isolantes inséparables du corps semi-conducteur sur lequel elles ont été déposées caractérisées par les matériaux
H01L 23/62 - Protection contre l'excès de courant ou la surcharge, p. ex. fusibles, shunts
H01L 21/768 - Fixation d'interconnexions servant à conduire le courant entre des composants distincts à l'intérieur du dispositif
21.
MONITORING QUERY PROCESSING TRENDS IN A DATABASE SERVER TO IDENTIFY PERIODS OF ANTICIPATED HIGH DEMAND
Computer-implemented methods for identifying query processing trends are provided. Aspects include receiving a plurality of queries, providing a response to each of the plurality of queries, and receiving client resource utilization information associated with processing the response. Aspects also include identifying one or more of the plurality of queries as periodically repeated queries and a trend of the client resource utilization information. Aspects further include determining a period of anticipated high demand on the database server based on the periodically repeated queries and the trend of the resource utilization information and broadcasting, by a database server to each of a plurality of clients, an indication of the period of anticipated high demand on the database server.
Described are techniques for secure data transmission such as a method including generating a sender binary value by measuring a first qubit associated with a sender device. The first qubit is entangled with a second qubit associated with a receiver device. The method further includes generating a securely transmittable value by providing the sender binary value and a data bit to an XOR gate. The data bit is configured to be derived by the receiver device by supplying the securely transmittable value and a receiver binary value from the second qubit to an XNOR gate.
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
23.
GENERATING IDEATION SCENARIOS BASED ON INTENTS ASSOCIATED WITH REQUIREMENTS
A computer-implemented method, system, and computer program product for generating ideation scenarios. A requirement to be used in ideation is received. The intent associated with the received requirement is then identified. An intent refers to the actions to be performed to accomplish the purpose or objective of the requirement. Each intent is associated with a requirement as well as one or more inputs and a final output. A pre-requirement and a post-requirement to the received requirement are then identified. Upon identifying such requirements, the intents associated with such requirements are identified. Upon identifying the intents, such as for the received requirement and the pre- and post-requirements, such intents are joined to generate ideation scenarios in terms of actions. An ideation scenario refers to the idea or solution based on a requirement, where the ideation scenario includes the intents along with the associated requirements, inputs and final outputs.
A method for triggering an event reactive delivery schedule adjustment. The method detects one or more events leading to a delay in a delivery schedule based on integrating IoT sensor data and real-time events. The method further triggers a reschedule event based on the detected one or more events leading to the delay in the delivery schedule. The method further determines availability and location of a user to receive a delivery, based on the reschedule event, and reschedules or cancels the delivery based on the determined availability and location of the user. The method notifies the user about any changes to the delivery, based on user preferences.
A computer-implemented method, a computer program product, and a computer system for data sharding and topology alterations for disaster recovery preparation. A computer system estimates time needed to copy a data store of a data center that is assumed offline. A computer system determines whether the time needed is greater than a recovery time objective (RTO). A computer system creates a data shard for the data store, in response to determining that the time needed is greater than the RTO. Prior to the data center being offline, a computer system alters a current topology of the data store in a network connecting multiple data centers, by copying the data shard to a destination data center that does not contain the data store in the current topology, where, with an altered topology, the RTO is met in an event of the data center being offline.
G06F 11/20 - Détection ou correction d'erreur dans une donnée par redondance dans le matériel en utilisant un masquage actif du défaut, p. ex. en déconnectant les éléments défaillants ou en insérant des éléments de rechange
G06F 11/14 - Détection ou correction d'erreur dans les données par redondance dans les opérations, p. ex. en utilisant différentes séquences d'opérations aboutissant au même résultat
G06F 11/34 - Enregistrement ou évaluation statistique de l'activité du calculateur, p. ex. des interruptions ou des opérations d'entrée–sortie
G06F 16/27 - Réplication, distribution ou synchronisation de données entre bases de données ou dans un système de bases de données distribuéesArchitectures de systèmes de bases de données distribuées à cet effet
A grey-scale tomography of a sample is obtained and a capillary network model (CNM) geometry of the sample is produced, using a capillary network extractor, based on the grey-scale tomography. A fluid flow simulation is performed, using a flow simulator, to generate flow property fields based on the capillary network model (CNM) geometry. A mineralization simulation is performed influenced by results of the flow property fields to generate a modified capillary geometry that represents the capillary network model (CNM) geometry at a future point in time.
G16C 60/00 - Science informatique des matériaux, c.-à-d. TIC spécialement adaptées à la recherche des propriétés physiques ou chimiques de matériaux ou de phénomènes associés à leur conception, synthèse, traitement, caractérisation ou utilisation
G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p. ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
G06F 30/28 - Optimisation, vérification ou simulation de l’objet conçu utilisant la dynamique des fluides, p. ex. les équations de Navier-Stokes ou la dynamique des fluides numérique [DFN]
27.
APPARATUS STATIC INERTIA COMPENSATION USING EXTERNAL ROBOTS
The present inventive concept provides for a method of apparatus static inertia compensation using external robots. The method includes identifying a region of at least one wind turbine experiencing actual or imminent static inertia. A wind speed at the region is identified. The identified wind speed is compared to a predetermined cut-in speed. An external force necessary to overcome the actual or imminent static inertia based on the compared identified wind speed and the predetermined cut-in speed is calculated. The calculated external force necessary to overcome the actual or imminent static inertia using at least one external robot is generated.
F03D 7/02 - Commande des mécanismes moteurs à vent les mécanismes moteurs à vent ayant l'axe de rotation sensiblement parallèle au flux d'air pénétrant dans le rotor
B64U 50/13 - Propulsion utilisant des soufflantes ou des hélices externes
F03D 17/00 - Surveillance ou test de mécanismes moteurs à vent, p. ex. diagnostics
28.
GENERATING SPEECH DATA USING ARTIFICIAL INTELLIGENCE TECHNIQUES
Methods, systems, and computer program products for generating speech data using artificial intelligence techniques are provided herein. A computer-implemented method includes implementing one or more artificial intelligence techniques in connection with one or more speech synthesis tasks; generating, in multiple sequential portions, at least one sequence of data, comprising one or more of phonetic data and prosodic data, by processing at least one previously generated sequence of data using the one or more artificial intelligence techniques; and generating speech data corresponding to at least a portion of the sequence of data by processing the at least a portion of the sequence of data using at least one artificial intelligence-based speech synthesis model.
G10L 13/02 - Procédés d'élaboration de parole synthétiqueSynthétiseurs de parole
G10L 13/04 - Détails des systèmes de synthèse de la parole, p. ex. structure du synthétiseur ou gestion de la mémoire
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 13/10 - Règles de prosodie dérivées du texteIntonation ou accent tonique
G10L 25/30 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes caractérisées par la technique d’analyse utilisant des réseaux neuronaux
29.
ULTRA-THIN PHASE-CHANGE MEMORY DEVICE WITH LATERAL ELECTRODE CONFIGURATION
A phase-change memory (PCM) device (10) includes an electrically insulating material (11) and a PCM cell (12-16), which is embedded in the electrically insulating material (11). The PCM cell (12-16) includes a phase-change material layer (or PCM layer, for short), e.g., a layer including a germanium-antimony-tellurium alloy. The PCM layer (14) has a top surface, a bottom surface, and a side surface linking the top surface and the bottom surface. The PCM cell (12-16) further includes an outer electrode (12), which contacts the side surface of the PCM layer (14). That is, the outer electrode (12) laterally caps the PCM layer (14). The PCM cell (12-16) further includes a heater (15) extending at least partially through the PCM layer (14), transversely to the top surface and the bottom surface of the PCM layer (14), to contact the PCM layer (14).
Methods, systems, and computer program products for generating speech data using artificial intelligence techniques are provided herein. A computer-implemented method includes implementing one or more artificial intelligence techniques in connection with one or more speech synthesis tasks; generating, in multiple sequential portions, at least one sequence of data, comprising one or more of phonetic data and prosodic data, by processing at least one previously generated sequence of data using the one or more artificial intelligence techniques; and generating speech data corresponding to at least a portion of the sequence of data by processing the at least a portion of the sequence of data using at least one artificial intelligence-based speech synthesis model.
A platform may receive user printing information that identifies a first location of a first printer capable of printing a first portion of a three-dimensional item, a first printer type, and a first inventory of filaments. The platform may validate first environmental conditions of the first location and validate network printing information that identifies locations of a plurality of printers capable of printing three-dimensional items, printer types, inventories of filaments, and network environmental conditions of the locations. The platform may identify a second printer, of the plurality of printers, based on a distance between the first location and a second location of the second printer, the user printing information, the first environmental conditions, and the network printing information. The platform may determine a sequence between the first location and the second location for printing the first portion and the second portion based on the first speed and the second speed.
G05B 19/4099 - Usinage de surface ou de courbe, fabrication d'objets en trois dimensions 3D, p. ex. fabrication assistée par ordinateur
B29C 64/118 - Procédés de fabrication additive n’utilisant que des matériaux liquides ou visqueux, p. ex. dépôt d’un cordon continu de matériau visqueux utilisant un matériau filamentaire mis en fusion, p. ex. modélisation par dépôt de fil en fusion [FDM]
B29C 64/379 - Manutention des objets en 3D obtenus, p. ex. à l’aide de robots
B29C 64/386 - Acquisition ou traitement de données pour la fabrication additive
B33Y 40/00 - Opérations ou équipements auxiliaires, p. ex. pour la manipulation de matériau
B33Y 50/00 - Acquisition ou traitement de données pour la fabrication additive
32.
ADAPTATION OF REFERENCE ARCHITECTURE DOCUMENTS ACROSS CLOUDS
The illustrative embodiments provide for adaptation of reference architecture documents across clouds. An embodiment includes loading a reference architecture document. The embodiment also includes populating a knowledge repository corpus where the knowledge repository corpus includes data from information technology (IT) products, cloud services, and integrations stored with associated metadata about functionalities. The IT products, the cloud services, and the integrations are stored with metadata. The embodiment also includes classifying, using an incident analysis module, the service incidents based on the reference architecture document. The embodiment also includes detecting flaws in the reference architecture document based on the classified service incidents. The embodiment also includes creating a weighted graph of the cloud services. The embodiment also includes traversing the weighted graph and creating an adapted reference architecture based on the traversed weighted graph.
Intelligent workflow execution management includes generating, based on target output metrics for a geospatial-temporal modeling workflow, a collection of workflow execution control rules, monitoring execution of the workflow at runtime, the monitoring including monitoring intermediate output of the workflow execution and predicted output metrics, the predicted output metrics being metrics predicted to be obtained from completing the workflow, and determining one or more workflow execution intervention actions for an automated workflow orchestrator to take based on the defined target output metrics and the monitoring of the workflow execution.
Techniques relating to information technology (IT) are disclosed. These techniques include identifying a token relating to embodied emissions for an IT hardware component. The techniques further include determining embodied emissions for the IT hardware component that have been offset, based on the token. The techniques further include recording the offset of the embodied emissions for the IT hardware component, including: modifying a sticky bit for the IT hardware component, wherein the sticky bit reflects the offset of the embodied emissions, wherein the modification of the sticky bit is irreversible, and wherein the sticky bit is integrated into the IT hardware component.
An embodiment collects a first set of patient data and a first set of treatment data associated with a patient population treated with spinal cord stimulation. The embodiment clusters the patient population into a plurality of cohorts. The embodiment generates a plurality of states using a second set of patient data associated with a cohort in the plurality of cohorts. The embodiment generates a plurality of actions using a second set of treatment data associated with the cohort. The embodiment determines, based on the plurality of actions, a plurality of probabilities associated with a transition from a first state to a second state in the plurality of states. The embodiment generates, based on the plurality of probabilities, a stimulator action policy for a patient in the cohort.
A61N 1/36 - Application de courants électriques par électrodes de contact courants alternatifs ou intermittents pour stimuler, p. ex. stimulateurs cardiaques
G16H 10/60 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p. ex. pour des dossiers électroniques de patients
G16H 20/40 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p. ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies mécaniques, la radiothérapie ou des thérapies invasives, p. ex. la chirurgie, la thérapie laser, la dialyse ou l’acuponcture
G16H 50/70 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour extraire des données médicales, p. ex. pour analyser les cas antérieurs d’autres patients
36.
GEO-LOCATION DEPENDENCY MATRIX WITH AUGMENTED REALITY (AR)
Systems and methods are provided for establishing an AR infrastructure in a defined space. Physical objects in the defined space are identified using proximity technology for inclusion in a geo-location dependency matrix. A plurality of physical identifying characteristics associated with the physical objects is collected. A logical relationship between the physical object and the other physical objects is determined. The physical objects are connected by determined logical relationships. The geographical location and orientation of the physical object within the defined space are processed, and an activity is associated with the physical object.
Mechanisms are provided for rendering content in a compacted view. A machine learning computer model is trained by a machine learning process to predict a user attention score for segments of content based on features of the content and historical user attention data. The trained machine learning computer model processes new content to associate with each segment, in a plurality of segments, of the new content, a corresponding user attention score. The segments, in the plurality of segments, of the new content are ranked relative to one another based on the corresponding user attention scores of the segments. A compacted view of the new content is rendered based on the ranking of the segments. A first number of segments are rendered in the compacted view and a second number of segments are not rendered in the compacted view, and are replaced with an inserted user selectable expansion element.
Embodiments of present invention provide a semiconductor structure. The structure includes an active device region and a passive device region, the active device region and the passive device region being separated by a single diffusion break, where the passive device region includes a first passive device. The first passive device includes a first diffusion region and a second diffusion region, the first and the second diffusion region being vertically connected by a lightly doped region, where the first diffusion region is connected to a backside power distribution network through a first direct backside contact (BSCA) and the second diffusion region is connected to a back-end-of-line (BEOL) structure through a first middle-of-line contact. A method of forming the same is also provided.
H01L 27/12 - Dispositifs consistant en une pluralité de composants semi-conducteurs ou d'autres composants à l'état solide formés dans ou sur un substrat commun comprenant des éléments de circuit passif intégrés avec au moins une barrière de potentiel ou une barrière de surface le substrat étant autre qu'un corps semi-conducteur, p.ex. un corps isolant
A semiconductor device including a metal insulator metal capacitor (MIM capacitor), a first via connected to and through a bottom plate of the MIM, and a middle plate of the MIM, where a middle isolated portion of the middle plate of the MIM surrounds the first via. A MIM capacitor, a first via connected to and through a bottom plate of the MIM, and a middle plate of the MIM, where a middle isolated portion of the middle plate of the MIM surrounds the first via, where the middle isolated portion is surrounded by a middle isolation dielectric on all vertical side surfaces. Forming a MIM capacitor, forming a first via connected to and through a bottom plate of the MIM, and forming a middle plate of the MIM, where a middle isolated portion of the middle plate of the MIM surrounds the first via.
H01L 23/522 - Dispositions pour conduire le courant électrique à l'intérieur du dispositif pendant son fonctionnement, d'un composant à un autre comprenant des interconnexions externes formées d'une structure multicouche de couches conductrices et isolantes inséparables du corps semi-conducteur sur lequel elles ont été déposées
H01L 21/768 - Fixation d'interconnexions servant à conduire le courant entre des composants distincts à l'intérieur du dispositif
40.
FRAUD DETECTION AND PREVENTION IN VIRTUAL REALITY COLLABORATION
A virtual reality (VR) collaboration network includes a VR computing system and a fraud detection and prevention system. The VR computing system is configured to generate a VR environment and to generate at least one avatar within the VR environment based on a user profile associated with an authorized human participant. The fraud detection and prevention system is configured to monitor the VR environment and at least one real-time behavior of the at least one avatar, and to identify the at least one avatar as a suspicious avatar operated by an unauthorized human participant different from the authorized human participant in response to the at least one real-time behavior being different from at least one expected behavior of the at least one avatar.
A semiconductor device includes a stacked transistor structure having field effect transistors on two levels. The two levels include a top side and bottom side. Active regions are disposed on the bottom side. The active regions include a recessed portion therein. A metal cap is disposed within the recessed portion. A contact is disposed within the metal cap to reduce contact resistance.
H01L 29/417 - Electrodes caractérisées par leur forme, leurs dimensions relatives ou leur disposition relative transportant le courant à redresser, à amplifier ou à commuter
H01L 21/308 - Traitement chimique ou électrique, p. ex. gravure électrolytique en utilisant des masques
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 29/08 - 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
In one aspect of pseudorandom data programming in accordance with the present description, on-board die pseudorandom data is written to a target page if retired. In one embodiment, on-board die pseudorandom data is generated using a pseudorandom data generator on-board the storage die. A command issued to the storage die includes a pattern identification (ID) which identifies a pseudorandom data generator on-board the storage die, to generate a pattern of pseudorandom data. In yet another aspect, pseudorandom data is pre-stored in an internal source buffer of the storage die. In still another aspect, timing of an interval of time is initiated and, on-board die pseudorandom data is written to a selected target page if the timed interval of time has exceeded the predetermined interval of time.
A feature request and a price corresponding to the feature request are received. The feature request is validated, the validating determining an implementation cost of the feature request. Using a return on investment of the feature request, the feature request is selected for implementation, the return on investment computed using the implementation cost and the price. Implementation of the selected feature request is caused.
G06Q 10/0637 - Gestion ou analyse stratégiques, p. ex. définition d’un objectif ou d’une cible pour une organisationPlanification des actions en fonction des objectifsAnalyse ou évaluation de l’efficacité des objectifs
An embodiment includes sending a first drone, including a carbon dioxide sensor, into an area. The embodiment includes detecting a level of carbon dioxide in the area and generating a map including a position and level of carbon dioxide. The embodiment includes calculating a carbon dioxide hotspot above a threshold. The embodiment includes creating a plan to diffuse the carbon dioxide hotspot in a time limit by calculating an amount of a drones to send to the area based on a needed amount of humidity and light to diffuse the carbon dioxide hotspot in the time limit. The amount of humidity and light are calculated using an optimizer module. The embodiment includes sending the calculated amount of drones to the area of the carbon dioxide hotspot. The embodiment includes diffusing the carbon dioxide hotspot, sampling the area, and updating the map with new levels of carbon dioxide.
B64U 20/80 - Disposition de l’électronique à bord, p. ex. systèmes ou câblage d’avionique
B64U 101/70 - Véhicules aériens sans pilote spécialement adaptés à des utilisations ou à des applications spécifiques à l’utilisation à l’intérieur d’espaces clos, p. ex. dans les bâtiments ou dans les véhicules
G01N 33/00 - Recherche ou analyse des matériaux par des méthodes spécifiques non couvertes par les groupes
45.
INJECTION MOLDED SOLDER HEAD WITH IMPROVED SEALING PERFORMANCE
An apparatus for injecting solder material in via holes located in a top surface of a wafer is provided. The apparatus includes an injection head having a contact surface for contacting the top surface of the wafer, and at least one aperture for injecting the solder material though the injection head into the via holes. The apparatus further includes an evacuating device connected to the injection head for evacuating gas from the via holes. The injection head has a chamfer part on an edge of a contact surface contacting the top surface of the wafer.
An embodiment intercepts a notification including a portion of natural language text and a Uniform Resource Locator (URL). An embodiment identifies, using a natural language understanding model, a topic of the notification. An embodiment tags, using a content summarization model, a content located at the URL, the tagging comprising assigning a set of content tags to the content, the set of content tags comprising a predefined tag representing the content. An embodiment calculates a relevancy score scoring a comparison between the set of content tags and a set of user tags, the set of user tags comprising a predefined tag representing a profile of an intended recipient of the notification. An embodiment generates, responsive to the relevancy score being above a threshold, using the topic and the set of content tags, a customized notification, the customized notification replacing the notification.
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
G06F 16/955 - Recherche dans le Web utilisant des identifiants d’information, p. ex. des localisateurs uniformisés de ressources [uniform resource locators - URL]
Computer implemented methods, systems, and computer program products include program code executing on a processor(s) obtains, via a client, an order for a service to be performed at a physical location. The program code verifies data comprising the order. The program code continuously obtains complementary data to the verified order data including satellite images relevant to the physical location. The program code continuously applies one or more machine learning models, to input comprising the complementary data and the verified order data, to produce output comprising one or more indicators that the order will be cancelled before the service is performed. The program code transmits the indicators to a classifier which generates a prediction at a threshold probability that the order will be cancelled before the service is performed (or not). The program code continuously generates or updates a dashboard to reflect a predicted cancellation status of the order.
Embodiments of the invention include a semiconductor structure having a first transistor having first nanosheets as first channel regions, a second transistor having second nanosheets as second channel regions, and a third transistor having third nanosheets as third channel regions. The first, second, and third nanosheets are formed of nanosheet material, where the first nanosheets are fewer in number than the second nanosheets. The semiconductor structure includes first end portions formed of the nanosheet material between first inner spacers in the first transistor. The first end portions are opposite one another and discontinuous in the first transistor.
A computer-implemented method, system, and computer program product for controlling an avatar of a first participant by a second participant. A selection of an activity or a step of an activity to be performed by the avatar of the first participant in a virtual environment that the first participant needs assistance in completing is received. Furthermore, a selection of the particular limbs (e.g., right arm) of the avatar of the first participant or a selection of the entire avatar of the first participant to be controlled by the second participant in order to complete the activity or the step of the activity is received. Control of the one or more limbs or the entire avatar of the first participant is then granted to the second participant.
An embodiment collects a first set of patient data and a first set of treatment data associated with a patient population treated with neuromodulation. The embodiment clusters the patient population into a plurality of cohorts. The embodiment generates a plurality of states using a second set of patient data associated with a cohort in the plurality of cohorts. The embodiment generates a plurality of actions using a second set of treatment data associated with the cohort. The embodiment determines, based on the plurality of actions, a plurality of probabilities associated with a transition from a first state to a second state in the plurality of states. The embodiment generates, based on the plurality of probabilities, a neuromodulator action policy for a patient in the cohort.
G16H 20/70 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p. ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies mentales, p. ex. la thérapie psychologique ou le training autogène
51.
DATA MIGRATION BETWEEN VIRTUAL TAPE SYSTEMS USING TAPE VOLSER CONVERSION
A computer-implemented method, in accordance with one embodiment, includes receiving a request to migrate data from a source virtual tape system to a destination virtual tape system. A serial number of a logical volume having the data in the destination virtual tape system is added to the destination virtual tape system. An interim logical volume is created on the destination virtual tape system. A conversion table associating the serial number of the logical volume is updated with a serial number of the interim logical volume. The data in the logical volume is migrated to the interim logical volume. In response to completing the data migration, data access requests are satisfied using the logical volume.
An embodiment for improved authentication of chatbot users for chat history recovery. The embodiment may record a first chat conversation between a first chat service operator and a first user, wherein the first chat conversation includes a first-step authentication and a chat history. The embodiment may detect a request to resume the first chat conversation. The embodiment may, in response to detecting the request to resume the first chat conversation, initiate a recovery process by sending a random-generated token to the first-step authentication. The embodiment may receive verification of the random-generated token. The embodiment may generate, by a large language model, one or more authentication questions based on content of the chat history. The embodiment may authenticate the first user based on one or more correct answers to the one or more authentication questions. The embodiment may resume the first chat conversation including the chat history.
H04L 51/02 - Messagerie d'utilisateur à utilisateur dans des réseaux à commutation de paquets, transmise selon des protocoles de stockage et de retransmission ou en temps réel, p. ex. courriel en utilisant des réactions automatiques ou la délégation par l’utilisateur, p. ex. des réponses automatiques ou des messages générés par un agent conversationnel
53.
REVERSE PROXY INSPECTION FOR ENCRYPTED TRAFFIC IN AN EDGE-BASED NETWORK
One embodiment of the invention provides a method for reverse proxy inspection (RPI) of encrypted traffic in an edge-based network. The method comprises sharing a first certificate from an RPI instance to an edge-based network gateway. The first certificate is issued to the RPI instance. The method further comprises receiving, at the RPI instance, an encrypted message with an initial layer of encryption and a subsequent layer of encryption. The initial layer is encrypted using a second certificate issued to an edge-based network device. The subsequent layer is encrypted using the first certificate. The method further comprises, at the RPI instance, authenticating the first certificate, and decrypting the subsequent layer using the first certificate, resulting in the encrypted message with the initial layer intact. The method further comprises, at the RPI instance, inspecting the encrypted message, and forwarding the encrypted message to a centralized hub.
Secondary application container hot upgrade is provided. It is determined whether an upgraded secondary application container is ready to run in a pod that includes a secondary application container, a router container, and a primary application container based on monitoring a status of the upgraded secondary application container. The router container is directed to send a subsequent external service request to the upgraded secondary application container to manage for the primary application container in response to determining that the upgraded secondary application container is ready to run. The secondary application container is deleted from the pod that includes the upgraded secondary application container in response to directing the router container to send the subsequent external service request to the upgraded secondary application container to manage for the primary application container. The router container is deleted from the pod in response to deleting the secondary application container from the pod.
An embodiment for improved authentication of chatbot users for chat history recovery. The embodiment may record a first chat conversation between a first chat service operator and a first user, wherein the first chat conversation includes a first-step authentication and a chat history. The embodiment may detect a request to resume the first chat conversation. The embodiment may, in response to detecting the request to resume the first chat conversation, initiate a recovery process by sending a random-generated token to the first-step authentication. The embodiment may receive verification of the random-generated token. The embodiment may generate, by a large language model, one or more authentication questions based on content of the chat history. The embodiment may authenticate the first user based on one or more correct answers to the one or more authentication questions. The embodiment may resume the first chat conversation including the chat history.
H04L 51/02 - Messagerie d'utilisateur à utilisateur dans des réseaux à commutation de paquets, transmise selon des protocoles de stockage et de retransmission ou en temps réel, p. ex. courriel en utilisant des réactions automatiques ou la délégation par l’utilisateur, p. ex. des réponses automatiques ou des messages générés par un agent conversationnel
H04L 51/216 - Gestion de l'historique des conversations, p. ex. regroupement de messages dans des sessions ou des fils de conversation
56.
Efficient serverless method and system of serving artificial intelligence models
A method for forecasting server demand includes collecting a historical number of scoring requests from a network using a serverless architecture. A scoring request capacity per server is determined using the historical number of scoring requests. A prediction model predicts a first future value of scoring requests for a first future time span. A current number of servers in a pool of servers handling the scoring requests. Using the prediction model, a determination of whether the current number of servers is capable of handling the first future value of scoring requests for the first future time span is made. Upon determining that the current number of servers is incapable of handling the first future value of scoring requests, one or more additional servers are warmed up. The warmed-up additional servers are added to the pool of servers prior to an arrival of the first future time span.
H04L 67/1008 - Sélection du serveur pour la répartition de charge basée sur les paramètres des serveurs, p. ex. la mémoire disponible ou la charge de travail
H04L 41/16 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle
H04L 67/1012 - Sélection du serveur pour la répartition de charge basée sur la conformité des exigences ou des conditions avec les ressources de serveur disponibles
Mechanisms are provided for segmenting a virtual collaboration environment of a virtual collaboration based on participant proficiency with collaboration topics of the virtual collaboration. Interaction data is collected from a first participant of the virtual collaboration environment, which corresponds to at least one of communications exchanged, actions performed, or reactions. The first participant is classified in a level of participant proficiency with collaboration topics of the virtual collaboration environment based on the interaction data. The virtual collaboration environment is segmented into a plurality of collaboration sub-groups and participants are assigned to the collaboration sub-groups based on determined levels of participant proficiency. Content provided to the participants and communication channels between the participants are aligned based on the assignment of participants to collaboration sub-groups in the plurality of collaboration sub-groups.
G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
59.
RESERVOIR COMPUTING BASED ON FERROMAGNETIC FILMS WITH POINT DEFORMATIONS
The invention is notably directed to a physical reservoir for a magnetic reservoir computing apparatus. The physical reservoir includes a ferromagnetic film, which comprises a two-dimensional arrangement of point deformations. The point deformations are dimensioned to act as pinning sites for magnetic domains of the ferromagnetic film. The invention further concerns a magnetic reservoir computing apparatus comprising such a physical reservoir, as well as methods of operating and fabricating such a reservoir computing apparatus. The proposed approach results in a low-power-consumption physical reservoir, which is easy to fabricate.
A semiconductor structure is provided that includes a tunable and shared non-conductive layer as part of a gate stack of at least a pair of nanosheet GAA transistors with a shared metal gate electrode. The semiconductor structure has a tunable non-conductive material/gate dielectric area ratio where the non-conductive material is not constrained to a periphery of the nanosheet stack cross section.
H01L 29/423 - Electrodes caractérisées par leur forme, leurs dimensions relatives ou leur disposition relative ne transportant pas le courant à redresser, à amplifier ou à commuter
H01L 27/092 - Transistors à effet de champ métal-isolant-semi-conducteur complémentaires
H01L 29/06 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices
H01L 29/775 - Transistors à effet de champ avec un canal à gaz de porteurs de charge à une dimension, p.ex. FET à fil quantique
61.
Self-Organizing Refrigerator System that Optimizes Food Storage Management
Mechanisms are provided for organizing food items within a refrigerator system. The mechanisms detect the presence of a food item within a refrigerator system. The mechanisms retrieve a food item profile for the food item and determine, based on application of one or more rulesets to parameters of the food item specified in the food item profile, a placement for the food item at a goal location within a compartment of the refrigerator system. The goal location comprises a specification of a shelf in the refrigerator compartment and a location on the shelf. The mechanisms control mechanical movement mechanisms of the refrigerator system to move the food item from a current position within the refrigerator system to the goal location.
A method, computer program product, and computer system for determining keywords from raw data. A first trained artificial intelligence (AI) model is used to extract, from text associated with first and second persons, a first and second plurality of keywords for each first and second person, respectively. A second AI model is used to determine, for each keyword, a similarity score which is zero for each keyword consisting of a single word and is a numerical measure of similarity between the two words in each keyword consisting of two words. A composite score is computed as a function of a keyword frequency rank, a similarity rank, and a person frequency rank for each keyword. A final list of keywords is generated and consists of keywords in the second plurality of keywords based on the composite score of all of the keywords in both the first and second plurality of keywords.
A semiconductor structure having improved placeholder position margin is provided. The semiconductor structure includes a backside source/drain contact structure contacting one source/drain region of a nanosheet transistor. The backside source/drain contact structure has a first portion and a second portion. The second portion of the backside source/drain contact structure, which is in direct contact with the source/drain region is confined by bottommost upper inner spacers, lower inner spacers and a semiconductor pedestal which vertically separates the bottommost inner spacers from the lower inner spacers.
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 29/423 - 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 29/775 - 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 front-end-of-line level formed by a plurality of field effect transistors. Each field effect transistor includes a source/drain region disposed on opposite sides of the field effect transistor. A metal contact region is disposed above and in contact with a first surface of two adjacent source/drain regions. Each of the two adjacent source/drain regions correspond to a field effect transistor. A backside isolation region cuts through the metal contact region from a backside of the plurality of field effect transistors for electrically isolating the two adjacent source/drain regions.
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 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 29/775 - Transistors à effet de champ avec un canal à gaz de porteurs de charge à une dimension, p.ex. FET à fil quantique
65.
CAPABILITY ORCHESTRATION IN A CLOUD-NATIVE ENVIRONMENT
Capability orchestration in a cloud-native environment includes one or more new combined capability definitions generated by one or more processing units based on existing capability definitions and a combined capability manifest to form a hierarchy of capability definitions. A capability request directed to one or more capabilities can be received by the one or more processing units. One or more capability definitions corresponding to the one or more capabilities can be determined from the hierarchy of capability definitions by the one or more processing units based on the capability request. Deployable resources can be derived by the one or more processing units based on the determined one or more capability definitions. The one or more capabilities can be generated by the one or more processing units based on the derived deployable resources.
G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
66.
CONVERSATION BASED GUIDED INSTRUCTIONS DURING A VIDEO CONFERENCE
Computer-implemented methods for conversation based guided instructions during a video conference are provided. Aspects include determining a first participant in the video conference requires assistance completing a task on an application and determining a second participant in the video conference is providing an instruction on how to complete the task. Aspects also include obtaining the instruction provided by the second participant and displaying a visual representation of the instruction on a display of the first participant.
G06F 3/04815 - Interaction s’effectuant dans un environnement basé sur des métaphores ou des objets avec un affichage tridimensionnel, p. ex. modification du point de vue de l’utilisateur par rapport à l’environnement ou l’objet
G06V 40/16 - Visages humains, p. ex. parties du visage, croquis ou expressions
Aspects of the present disclosure relate to dynamic adjustment of shared content within web conferences. Web conference data associated with a web conference can be received. A determination can be made that a condition is met for adjusting shared content that is currently being shared within the web conference. An adjustment to make to the shared content that is currently being shared within the web conference can be determined. The shared content can be adjusted based on the determination to generate adjusted shared content. The adjusted shared content can be displayed within the web conference.
H04L 65/403 - Dispositions pour la communication multipartite, p. ex. pour les conférences
G06F 3/04845 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p. ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs pour la transformation d’images, p. ex. glissement, rotation, agrandissement ou changement de couleur
A method for validating a phone to perform nonprohibited telecommunication activities. The method includes: determining whether a phone license is configured on a phone; validating that the phone license on the phone is valid; determining whether there are usage prohibitions assigned to the phone license; applying the usage prohibitions to features of the phone; and allowing the phone to perform nonprohibited telecommunication activities.
H04M 1/72463 - Interfaces utilisateur spécialement adaptées aux téléphones sans fil ou mobiles avec des moyens permettant d’adapter la fonctionnalité du dispositif dans des circonstances spécifiques pour limiter la fonctionnalité du dispositif
H04M 15/00 - Dispositions de comptage, de contrôle de durée ou d'indication de durée
69.
DIRECTORY-LESS SNOOP OFFLOAD OF A HIGHER LEVEL CACHE MANAGEMENT AGENT WITH SNOOP FENCE
Techniques and apparatus for maintaining cache coherency in a data processing system are described. An example technique includes receiving a fetch request from a processor of a plurality of processors in a cluster. A local snoop operation is performed for the cluster in response to the fetch request and without involving an upper level cache associated with the cluster. A fetch response is sent to the processor based on the local snoop operation. Another technique includes receiving a fetch request from a processor of a plurality of processors in a cluster. A snoop request is sent to trigger a local snoop operation for the cluster, in response to the fetch request. A snoop response including an indication that at least one processor in the cluster is in an offline state is received in response to the snoop request.
An embodiment for altering a machine based on a predicted problem in a multi-machine environment is provided. The embodiment may include receiving data relating to an activity and functionalities of a primary machine in a multi-machine environment. The embodiment may also include executing a digital twin simulation of a digital twin model of the primary machine performing the activity in accordance with the functionalities. The embodiment may further include identifying a problem condition with at least one component of the primary machine in executing one or more steps of the activity. The embodiment may also include in response to determining the primary machine is not capable of performing an alternative activity with the problem condition, deploying one or more secondary machines having at least one substitute component for the at least one component of the primary machine to collaborate with the primary machine.
A method for building a quantum computing circuit optimizes qubit routing in the circuit. A computer processor receives a plurality of qubits and an initial input circuit layer. Layers of quantum sub-circuits are extracted from the initial input circuit layer. Adjacency matrices are built for the layers of quantum sub-circuits. A cost function is determined for the extracted layers, based on the number of constraints violations determined by the doubly stochastic matrices. In addition, a final quantum circuit topology is selected based on the cost function of the extracted layers.
A computational device detects an emotion of a reader while reading a printed version of a book via a virtual reality device. A determination is made of notes made by other readers of the book with a similar emotion to the reader, where the notes have been stored in association with an electronic version of the book. The notes are displayed on a virtual reality interface of the virtual reality device to the reader.
G06F 3/0483 - Interaction avec des environnements structurés en pages, p. ex. métaphore livresque
G06F 3/04815 - Interaction s’effectuant dans un environnement basé sur des métaphores ou des objets avec un affichage tridimensionnel, p. ex. modification du point de vue de l’utilisateur par rapport à l’environnement ou l’objet
G06F 40/169 - Annotation, p. ex. données de commentaires ou notes de bas de page
G06T 17/00 - Modélisation tridimensionnelle [3D] pour infographie
G06V 40/16 - Visages humains, p. ex. parties du visage, croquis ou expressions
An apparatus and methodology for a back end of line (BEOL) structure in an integrated circuit (IC) die, includes a first BEOL structure layer having a first plurality of self-referential marking features disposed a first distance from a substrate of the IC die in a predefined two-dimensional (2D) arrangement. A second BEOL structure layer has a second plurality of the self-referential marking features a second distance from the substrate in a predefined 2D arrangement. The first and second pluralities of marking features collectively form a three-dimensional (3D) BEOL identifier (3D BEOL ID) self-referencing the IC die.
A computer-implemented method and system for prioritizing notifications deliverable to one or more end users include a notifications service identifier identifying one or more end user notification receiving devices. A notifications service server sends a first batch of one or more notifications to the one or more end user notification receiving devices. A notifications service monitor monitors delivery status information relative to each of the one or more notifications of the first batch. A notifications service collector collects the delivery status information. A notifications service calculator determines an end user notification preference score for each of the one or more end user notification receiving devices using the delivery status information.
Disclosed embodiments provide techniques for creating a smaller version of an original document. An ontology is defined, and a document type for an original document is determined, based on the ontology. Multiple key-value pairs (KVPs) are extracted from the original document based on the document type. Pages in the original document that include one or more KVPs are identified, and the smaller, condensed version includes the identified pages from the original document.
A processor establishes a unified input/output (I/O) translation table including a plurality of translation entries for translating between I/O addresses and memory addresses. I/O addresses specified by direct memory access (DMA) requests received from different I/O adapters each allocated to respective different logical partitions (LPARs) are translated by reference to translation entries in the unified I/O translation table. Physical memory of the data processing system is then accessed based on memory addresses determined by the translation.
G06F 13/28 - Gestion de demandes d'interconnexion ou de transfert pour l'accès au bus d'entrée/sortie utilisant le transfert par rafale, p. ex. acces direct à la mémoire, vol de cycle
G06F 12/1009 - Traduction d'adresses avec tables de pages, p. ex. structures de table de page
77.
LEARNED SCHEDULING OF AUTONOMOUS ACTIONS BASED ON COLLABORATIVE CONVERSATIONS
Learned scheduling of autonomous actions includes generating groups of action executions that execute on a collaboration platform. The groups of action executions are generated by natural language processing of contextual information extracted from one or more Chat Operations conversations. Recommendation candidates corresponding to the action executions are generated by clustering action executions contained in each of the groups. The action executions are clustered based on times of past executions. A leaned schedule is generated by ranking the recommendation candidates based on the contextual information. As generated, the learned schedule indicates one or more recommendations to execute a specific action within a specific time.
National Tsing Hua University (Taïwan, Province de Chine)
Inventeur(s)
Chen, Pin-Yu
Chandramoorthy, Nandhini
Swaminathan, Karthik V.
Bose, Pradip
Sun, Hao-Lun
Hsiung, Lei
Ho, Tsung-Yi
Abrégé
Aspects of the invention include techniques for improving the accuracy of access-limited neural network inference in low-voltage regimes. A non-limiting example method includes training a first machine learning model to perform input transformation for reducing low-voltage bit errors for a deep neural network operating in a low-voltage regime. The training includes inputting training data into the first machine learning model such that, in response, the first machine learning model produces transformed training data; inputting the transformed training data into a clean machine learning model and into perturbed machine learning models, the perturbed machine learning models being generated by applying random bit errors to the clean machine learning model; and optimizing the first machine learning model based on a comparison of output of the clean machine learning model and of the perturbed machine learning models compared to groundtruth labels for the training data.
A method for maintaining an intelligent self-growing avatar (ISGA) in a metaverse is presented including supporting the ISGA with an ISGA server communicating with an ISGA client, collecting, via an ISGA data structure, personal characteristics and activities of a person in a real world, creating, via an avatar creator, an avatar having the personal characteristics of the person in the real world, training, via an ISGA trainer, the avatar to recognize and respond to the activities and relationships of the real person, and changing, via an ISGA adjuster, a behavior and personality of the avatar based on the activities and relationships of the real person in the real world to allow the avatar to continuously grow and evolve in the metaverse.
G06N 3/006 - Vie artificielle, c.-à-d. agencements informatiques simulant la vie fondés sur des formes de vie individuelles ou collectives simulées et virtuelles, p. ex. simulations sociales ou optimisation par essaims particulaires [PSO]
80.
WORK FUNCTION METAL PATTERNING AND GATE CUT FOR NANOSHEET DEVICE
A semiconductor device fabrication method is provided and includes building first and second nanosheet devices, locating a dielectric bar between the first and second nanosheet devices, forming, in the first nanosheet device, a first work function metal (WFM) and forming in the second nanosheet device, a second WFM that extends across the dielectric bar and the first WFM.
H01L 29/06 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices
H01L 21/8238 - Transistors à effet de champ complémentaires, p.ex. CMOS
H01L 27/092 - Transistors à effet de champ métal-isolant-semi-conducteur complémentaires
H01L 29/423 - 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
Processing zero weights within a data structure when performing a multiply and accumulate operation in a deep learning network as the result is itself a zero. Avoiding this step may save time and reduce power consumption in the training and operation of deep learning networks. An approach to zero-tile manipulation may be presented herein. An approach to permute and pack weighted data structures into zero-tile data structures may be presented. The zero-tiles may be configured in a structure which is optimized for the architecture of a parallel processing unit. The zero tile data structures may comprise vectors which instruct a the components in processing element to operate in a manner which prevents the element from expending energy when processing the zero tiles. An apparatus may also be presented in the immediate disclosure which can be configured to accept a zero-tile data structure.
Computer-implemented peer-engagement through graphical definition of contact-generating events in a virtualized metaverse includes visually presenting to a user, on an interactive interface, a multi-dimensional scene of a virtual environment. The user provides input to graphically define one or more contact-generating events within the multi-dimensional scene, which events are detected as being triggered by one or more virtualized avatars in the multi-dimensional scene. According to the triggering of the events and other predefined contact-engaging criteria, a contact-initiating prompt may be transmitted to a peer user associated with the one or more virtualized avatars in the multi-dimensional scene.
G06T 17/00 - Modélisation tridimensionnelle [3D] pour infographie
G06F 3/04815 - Interaction s’effectuant dans un environnement basé sur des métaphores ou des objets avec un affichage tridimensionnel, p. ex. modification du point de vue de l’utilisateur par rapport à l’environnement ou l’objet
G06F 3/04842 - Sélection des objets affichés ou des éléments de texte affichés
G06T 11/20 - Traçage à partir d'éléments de base, p. ex. de lignes ou de cercles
A semiconductor device architecture includes a substrate and a device region including active components carried by the substrate. A plurality of tracks are on the substrate including conductive lines connecting power and signals to the active components in the device region. A first track includes a plurality of segments of a conductive line. A first segment in the first track delivers power to the device region. A second segment in the first track delivers a signal to the device region. The first segment and the second segment are arranged in the same first track.
H01L 23/528 - Configuration de la structure d'interconnexion
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
84.
PRIORITIZING USERS IN AN AUGMENTED REALITY ENVIRONMENT BY CONTEXT
Techniques are described with respect to a system, method, and computer program product for prioritizing users in a virtual environment. An associated method includes analyzing a virtual environment; determining a context of a plurality of users associated with the virtual environment; ranking each user of the plurality of users based on the analysis and the context; and visualizing the plurality of users in a prioritized depiction within the virtual environment based on the ranking.
Samsung Electronics Co., Ltd. (République de Corée)
Inventeur(s)
Samant, Mahesh
Filippou, Panagiotis Charilaos
Garg, Chirag
Yang, See-Hun
Ikhtiar, Fnu
Jeong, Jaewoo
Chepulskyy, Roman
Abrégé
A magnetoresistive random-access memory cell includes a substrate; a sub-monolayer nitride layer, outward of the substrate, having a sub-monolayer nitride layer thickness less than 10 Angstroms; and a templating layer, outward of the sub-monolayer nitride layer, and including a binary alloy having an alternating layer lattice structure. A Heusler layer is located outward of the templating layer. The Heusler layer includes a Heusler compound and exhibits perpendicular magnetic anisotropy (PMA). A tunnel barrier is outward of the Heusler layer, and a magnetic layer is outward of the tunnel barrier. In an alternative aspect, instead of the sub-monolayer nitride layer, a tantalum nitride layer with a thickness of ≤10 Angstroms+10% is employed.
Embodiments of the present invention disclose an approach for managing a plurality of heterogeneous automation scripts with dynamic environment preparation. Specifically, the approach involves allowing users to upload a script to a centralized script manager. The uploaded script is then analyzed to determine the necessary runtime environment and library resources required for successful execution. After resolving the dependencies of the script, an optimal machine on a centralized server is selected for automation. The chosen machine is equipped with the required runtime environment and library resources, which are automatically installed.
G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]
87.
VARIABLE REFLECTIVE SURFACE AND SOLAR PANEL CONFIGURATION
Described is a method for managing a trackable solar panel assembly and a variable reflective surface. The method can receive solar farm characteristics and location characteristics for the solar farm. The method can also receive solar panel assembly characteristics for a solar panel assembly and variable reflective surface characteristics for a variable reflective surface. The method can optimize control parameters for the solar panel assembly and the variable reflective surface, based on the solar farm characteristics, the location characteristics, the solar panel assembly characteristics, and the variable reflective surface characteristics. The method can adjust the variable reflective surface based on the control parameters.
The invention is notably directed to a physical reservoir for a magnetic reservoir computing apparatus. The physical reservoir includes a ferromagnetic film, which comprises a two-dimensional arrangement of point deformations. The point deformations are dimensioned to act as pinning sites for magnetic domains of the ferromagnetic film. The invention further concerns a magnetic reservoir computing apparatus comprising such a physical reservoir, as well as methods of operating and fabricating such a reservoir computing apparatus. The proposed approach results in a low-power-consumption physical reservoir, which is easy to fabricate.
G06G 7/00 - Dispositifs dans lesquels l'opération de calcul est effectuée en faisant varier des grandeurs électriques ou magnétiques
G11C 11/16 - Mémoires numériques caractérisées par l'utilisation d'éléments d'emmagasinage électriques ou magnétiques particuliersÉléments d'emmagasinage correspondants utilisant des éléments magnétiques utilisant des éléments dans lesquels l'effet d'emmagasinage est basé sur l'effet de spin
89.
SEGMENTATION OF DIGITAL IMAGES USING A BINARY MASK
A method, computer program product, and computer system for segmenting camera images obtained by a digital camera and analyzing the segments by a machine learning model (MLM). A first and second digital image of a scene obtained by a digital camera and a depth sensor, respectively, are received. The first and second digital images are characterized by a first and second pixel configuration, respectively. Using the second digital image, a binary mask characterized by the second pixel configuration is generated, including selectively digitizing each pixel of the binary mask to 1 or 0 to identify one or more regions of the scene to be subsequently segmented from the first digital image. By applying the binary mask to the first digital image, segments of the first digital image are generated. Each generated segment corresponds to a subset of the pixels of the binary mask that are digitized to 1.
G01S 17/89 - Systèmes lidar, spécialement adaptés pour des applications spécifiques pour la cartographie ou l'imagerie
G06T 7/50 - Récupération de la profondeur ou de la forme
G06T 7/62 - Analyse des attributs géométriques de la superficie, du périmètre, du diamètre ou du volume
G06V 10/25 - Détermination d’une région d’intérêt [ROI] ou d’un volume d’intérêt [VOI]
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
90.
REACTION-AWARE ADAPTIVE INTERVENTION IN A MONITORED AREA
The illustrative embodiments provide for supervision and reaction-aware adaptive intervention in an area. An embodiment includes detecting a behavior of a non-compliant entity over a threshold in a supervised area using one or more sensors. The threshold is determined by processing an input of the sensor using a first processing algorithm. The embodiment includes deploying a response into the supervised area. The response is based on input from the sensor. The embodiment includes identifying, using a second processing algorithm, a reaction of the non-compliant entity to the initial response. The embodiment includes determining fulfilment of a target state of the non-compliant entity using a third algorithm. The target state may include a change in behavior of the non-compliant entity. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the embodiment.
G08B 7/06 - Systèmes de signalisation selon plus d'un des groupes Systèmes d'appel de personnes selon plus d'un des groupes utilisant une transmission électrique
G06V 20/52 - Activités de surveillance ou de suivi, p. ex. pour la reconnaissance d’objets suspects
G06V 40/20 - Mouvements ou comportement, p. ex. reconnaissance des gestes
91.
INTELLIGENT MESSAGE SHARING ACROSS RELATED DEVICES
A method for intelligently distributing messages across multiple devices and associated chat applications is disclosed. In one embodiment, such a method includes registering multiple devices and associated chat applications to receive intelligent distribution of messages. The method monitors, using an agent, a message copied from a first device of the multiple devices to a clipboard. The method automatically analyzes content of the message to determine which other devices and associated chat applications of the plurality are eligible to receive the message. The message is then distributed to other devices and associated chat applications that are deemed eligible to receive the message. In certain embodiments, the message originates from a first chat application of a first type and the message is distributed to a second chat application of a second type that is different from the first type. A corresponding system and computer program product are also disclosed.
A method for improving the accuracy of speech recognition is disclosed. In one embodiment, such a method receives speech input from a user. The method further receives background inputs describing at least one of a webpage and an application from which the speech input was received. The method determines a language associated with the speech input and determines a weight and confidence level for each of the background inputs. A score is calculated for each of the background inputs based on the corresponding weight and confidence level. The method determines textual candidates for output in response to the speech input and ranks the textual candidates using a function that takes into account the scores and/or confidence levels of the background inputs. The textual candidate with the highest ranking may be returned to the user. A corresponding system and computer program product are also disclosed.
G10L 15/06 - Création de gabarits de référenceEntraînement des systèmes de reconnaissance de la parole, p. ex. adaptation aux caractéristiques de la voix du locuteur
Described are techniques for assembling products using mobile assembling units. An assembling sequence to assemble products using the mobile assembling units is generated, where an assembling sequence refers to the order of operations performed by the mobile assembling units, including the paths traveled in the assembly plant to selectively pick designated parts from designated part chambers of an array of part chambers, which forms the assembling floor of the assembly plant. Furthermore, such an assembling sequence specifies not only the path to obtain such parts, but also specifies the specific parts to be picked from the specified part chamber, the assembling of such parts, including which mobile assembling units are to perform such assembling, etc. Additionally, the mobile assembling units are programmed to move over the array of part chambers in a particular path to selectively pick designated parts from designated part chambers based on the assembling sequence.
Mechanisms are provided for routing transactions to backend application instances. The mechanisms receive a transaction from a source computing system, wherein the transaction comprises at least one identifier of a product or service associated with the transaction. The mechanisms perform a lookup operation in an in-memory database of transaction routing information, based on the at least one identifier. The transaction routing information maps the at least one identifier to a backend application instance identifier of a backend application instance. The mechanisms route the transaction to the backend application instance based on the backend application instance identifier, process, by the backend application instance, the transaction to generate transaction results, and return the transaction results to the source computing system.
One embodiment of the invention provides a computer-implemented method for optimization of a continuous production process. The method comprises receiving input data comprising a plurality of datasets each including one or more variables relating to a production equipment involved in the continuous production process. The method further comprises generating different prediction models based on the input data. Each of the prediction models is configured to output a target prediction relating to the production equipment. The method further comprises generating an objective optimization model based on each target prediction output from each of the prediction models. The objective optimization model comprises a deep neural network. The method further comprises generating a loss function corresponding to the objective optimization model, and optimizing weights for parameters of the prediction models using backpropagation of the deep neural network and the loss function, resulting in optimized weights for the parameters of the prediction models.
G05B 13/04 - Systèmes de commande adaptatifs, c.-à-d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques impliquant l'usage de modèles ou de simulateurs
G05B 13/02 - Systèmes de commande adaptatifs, c.-à-d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques
96.
VIRTUALIZING INTERNET-OF-THINGS DEVICES IN VIRTUAL ENVIRONMENTS
Techniques are described with respect to a system, method, and computer program product for representing Internet-Of-Things (IOT) devices in a virtual environment. An associated method includes detecting a plurality of IOT devices associated with a physical space; extracting a plurality of IOT capabilities associated with the plurality of IOT devices; rendering a virtual IOT device based on the plurality of IOT capabilities; and visualizing the virtual IOT device within the virtual environment associated with the physical space.
H04L 67/12 - Protocoles spécialement adaptés aux environnements propriétaires ou de mise en réseau pour un usage spécial, p. ex. les réseaux médicaux, les réseaux de capteurs, les réseaux dans les véhicules ou les réseaux de mesure à distance
G16Y 20/10 - Information détectée ou collectée par les objets relative à l’environnement, p. ex. la température relative à l’emplacement
An embodiment selects, from a set of candidate locations within a power generation site, a first power generation location. An embodiment causes generation of electricity, by a first power generation unit, at the first power generation location. An embodiment forecasts, during the generation of electricity, a future power generation status of the first power generation unit at the first power generation location. An embodiment causes relocating, responsive to the future power generation status, of the first power generation unit to a second power generation location, the relocating altering the future power generation status.
An embodiment establishes a potential energy source database based at least in part on sensor data received from a satellite, wherein the potential energy source database comprises coordinate data representative of a plurality of potential energy source locations. The embodiment instructs a robot to travel to a potential energy source location of the plurality of potential energy source locations. The embodiment scans the potential energy source location for a potential energy source. The embodiment detects the potential energy source in the potential energy source location. The embodiment evaluates whether the potential energy source meets a predetermined suitability criteria. The embodiment classifies the potential energy source as a suitable energy source. The embodiment instructs the robot to insert a pair of electrodes into the suitable energy source to generate an electrical current to charge a battery of the robot.
B64U 101/30 - Véhicules aériens sans pilote spécialement adaptés à des utilisations ou à des applications spécifiques à l’imagerie, à la photographie ou à la vidéographie
G05D 1/644 - Optimisation des paramètres de parcours, p. ex. consommation d’énergie, réduction du temps de parcours ou de la distance
G05D 1/656 - Interaction avec des charges utiles ou des entités externes
G05D 105/00 - Applications spécifiques des véhicules commandés
A computer-implemented method, according to one embodiment, includes generating a map of a first satellite's orbital path with respect to Earth's surface. The method further includes identifying, on the map along the first satellite's orbital path, a first portion of Earth's surface from which more than a predetermined number of connection requests are expected to be received. In response to a determination that a footprint coverage region of the first satellite is within a predetermined proximity to the first portion of Earth's surface, a connection processor of the first satellite is caused to perform a predetermined polling-based lookup connection process for fulfilling connection requests. 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.
Embodiments of the present disclosure provide systems and methods for implementing customized technical documentation sets for multiple local system environments of an enterprise computer system based on entitled technology and context. A disclosed method comprises accessing a technical documentation library of an enterprise computer system and scanning the technical documentation library based on technical entitlements of a given system environment to generate a customized technical documentation set. The system monitors DevOps to trigger a new scan of the customized technical documentation set based on technical entitlements of the given system environment that provides new scan results. The system revises the customized technical documentation set based on the new scan results for the given system environment.
