Abstract: 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.

Abstract: An embodiment for augmented reality (AR)-based visualization of an accidental situation in a multi-machine environment is provided. The embodiment may include receiving real-time and historical data relating to an activity. The embodiment may also include identifying a context of the activity and at least one property of one or more objects associated with the activity. The embodiment may further include identifying one or more items of safety equipment used by a user. The embodiment may also include assigning a compatibility score to the user. The embodiment may further include in response to determining the compatibility score is not adequate, executing a digital twin simulation of an avatar of the user. The embodiment may also include creating a visual animation of a resultant state of the avatar of the user consistent with the executed digital twin simulation. The embodiment may further include displaying the visual animation to the user.

Abstract: A method, computer system, and a computer program product for impact response is provided. The present invention may include triggering a stimulus if a threshold is reached or exceeded based on a positional relationship between a body suit and a single-track vehicle, wherein the stimulus activates one or more pressure sensors of the body suit. The present invention may include generating a pressure map of the body suit utilizing the one or more pressure sensors. The present invention may include generating an injury map using a machine learning model, wherein the injury map is based on the pressure map and one or more input parameters, and wherein the input parameters are specific to a user of the body suit.

Abstract: A method for forming a pumped laser structure includes forming a III-V buffer layer on a substrate including one of Si or Ge; forming a light emitting diode (LED) on the buffer layer configured to produce a threshold pump power; forming a photonic crystal layer on the LED and depositing a monolayer semiconductor nanocavity laser on the photonic crystal layer for receiving light through the photonic crystal layer from the LED with an optical pump power greater than the threshold pump power, wherein the LED and the laser are formed monolithically and the LED functions as an optical pump for the laser.

Abstract: A method, computer system, and a computer program product for voice responses is provided. The present invention may include gathering user data from at least one connected device. The present invention may include training a voice response system based on the gathered user data. The present invention may include identifying a wakeup signal based on the trained voice response system. The present invention may include determining that user engagement is intended based on identifying the wakeup signal. The present invention may include engaging with the user through the at least one connected device.

Abstract: An apparatus for a fastening verification structure includes a fastener disposed in a cavity, where a leading end of the fastener is configured to press a non-insulated contact pad. The first end of a first lead electrically coupled to the fastener and a second end of the first lead electrically coupled to a power source. The first end of a second lead electrically coupled to the non-insulated contact pad and a second end of the second lead electrically coupled to a visual indicator. The first end of a third lead electrically coupled to the visual indicator and a second end of the third lead electrically coupled to the power source.

Abstract: A method and system for reducing the number of colors per pixel present in an image to increase the ability to detect objects or anomalies in the image. A final number of colors per pixel to reduce the image to is determined, wherein the final number of colors is a number of colors less than the number of colors per pixel in the original image. A corresponding threshold value for each of the final number of colors is identified, such that the corresponding threshold values optimize an arithmetic combination of separation score functions applied to the plurality of pixels and the threshold values. The image is reduced to the final number of colors per pixel, by creating an output image where a value of each output pixel is equal to the number of threshold values that are less than the value of the corresponding input pixel.

Abstract: Computer technology for protecting data security in a computerized system for recommending content to users where, a processing unit generates an identifier for a first data record relating to a user device based on a first machine learning model. Then, the processing unit sends the identifier to a service provider, and the service provider uses the identifier to determine one or more contents to be sent to the user device. Creating and using a decision tree machine learning (ML) model and a cluster ML model with training records and a transformed records.

Abstract: A method, computer system, and computer program product for utilizing crowdsourcing of images captured by individuals to determine the status of a subject is provided. The embodiment may receive, by a processor associated with a broad beacon, an impulse. The embodiment may also transmit a request to each client device within a preconfigured distance through the broad beacon based on the received impulse. The embodiment may further, in response to an acceptance of the transmitted request by a user associated with a client device, initializing a pairing sequence between the client device and an aimable beacon. The embodiment may also transmit information to identify a subject of photographic capture from the aimable beacon to the client device. The embodiment may further receive an image captured by the user based on the received information.

Abstract: A method, system and apparatus for providing edge data correctness and correctness spread determination, including identifying an incorrectness bias in data received at an edge server of a network through a filter with filter rules, performing corrective measures to the data according to the incorrectness bias that is identified, and learning and automatically updating the filter rules of the filter based on an extent of the incorrectness bias of the data and spread of the incorrectness bias of the data to reduce latency in future data validation of the data.

Abstract: A semiconductor device fabricated by forming FET fins from a layered semiconductor structure. The layered semiconductor structure incudes a sacrificial layer. Further by forming dummy gate structures on the FET fins, recessing the FET fins between dummy gate structures, growing source-drain regions between FET fins and the sacrificial layer, replacing active region dummy gate structures with high-k metal gates structures, and replacing the sacrificial layer with a dielectric isolation material, wherein the dielectric isolation material extends across the active region.

Abstract: A computer-implemented method for a service mesh to simulate and address a situation in which there are several transactions among services with an asynchronous relationship between the services is provided. The computer-implemented method includes identifying that the situation occurs with a response provided to a user upon a user invocation of one of the services, analyzing the situation to determine that the asynchronous relationship between the services caused an error in at least one of the several transactions, recording data of a next user invocation of the one of the services, modifying the data of the next user invocation of the one of the services to correct the error and to thereby generate modified data, simulating an execution of the next user invocation of the service using the modified data and confirming that the modified data corrects the error based on results of the simulating.

Abstract: A processor may receive an information dataset. The information dataset may include object information and environment information. A processor may generate a digital twin of a physical environment. The digital twin of the physical environment may be based, at least in part, on the information dataset. A processor may simulate one or more factors on the digital twin of the physical environment. A processor may determine, responsive to simulating the one or more factors, one or more pathways to a destination. The destination may be in the physical environment.

Abstract: A structure and method for carbon capture, e.g., in flue gas. An oxygen-terminated crown pore in graphene can be provided. Exposed carbon atoms on the pore edge can be bonded with oxygen to make a crown pore. When the CO2 is inside the pore, the electrostatic interaction becomes attractive because the positively charged carbon atom in CO2 is now exposed to negatively charged oxygen atoms on the crown pore edge. A favorable interaction between CO2 and the crown pore can be expected.

Abstract: An approach is provided for optimizing multi-datasource queries in a networked computing environment. A procedure that contains a set of queries designed to access a specific set of data from a plurality of datasources in a virtualized hybrid storage environment (e.g., a virtualized hybrid cloud) is obtained. A set of mapped store procedures is created for the set of datasources referenced in the procedure. Each mapped store procedure includes a subset of queries that are applicable to a corresponding datasource from the set of queries in the procedure. These mapped store procedures are forwarded to the corresponding datasource for storage on the corresponding datasource. In response to a running of the procedure, execution of the mapped store procedure is commenced on each of the corresponding datasources on which they are stored.

Abstract: Embodiments of the invention provide a resistive switching device that includes a metal interconnect electrode and a charge-particle-treated memory stack over the metal interconnect electrode. The charge-particle-treated memory stack includes a plurality of layers that includes a top electrode, a bottom electrode, and a dielectric layer between the top electrode and the bottom electrode. The dielectric layer includes a portion of a blanket dielectric layer. The bottom electrode includes a portion of a blanket bottom electrode layer. The charge-particle-treated memory stack further includes a current-conducting filament characteristic that results from charge particle treatments applied while a top surface of the blanket dielectric layer is exposed and a top surface of the blanket bottom electrode is exposed.

Abstract: Computer implemented methods, systems, and computer program products include program code executing on a processor(s) that obtains text from a computing resources in a domain and segments it into sentences. The processor(s) identifies entities in each sentence. The processor(s) classifies each entity with a sentiment (a polarity). The processor(s) identifies, for each sentence, a given entity with a strongest sentiment. The processor(s) derives for each sentence, for each entity, emotions and classifies each emotion by assigning a polarity to each and scoring each. The processor(s) calculates, based on the (emotion) scores, a mean and a standard deviation from the mean. The processor(s) maps the given entity for each sentence to a strongest emotion for the given entity where the polarity of the strongest emotion is the same as the polarity of the strongest sentiment. The processor(s) determines if each strongest emotion is within the standard deviation from the mean.

Abstract: Provided are a method, system, and computer program product in which a computational device generates information on an application switch by a user from a first application in a first device to a second application in a second device. Additional information continues to be generated on application switches on the second device. A visualization of the information and the additional information is provided to the user to allow the user to return to a point at which the application switch to the second application in the second device took place from the first application in the first device.

Abstract: A computer system, computer readable storage medium, and computer-implemented method for detecting if one or more processing devices have separately sourced power feeds. The method includes determining transmission of a first signal in a first electric path. The method also includes monitoring for a second signal in a second electric path that is different from the first electric path. The method further includes determining, subject to the monitoring, electrical isolation between the first electric path and the second electric path. The claimed computer-implemented method dynamically, and automatically, determines that power sources are separate, isolated, and redundant.

Abstract: A technique for writing data to pages in a QLC block of a QLC NAND flash memory device, where the device comprises a plurality of SLC pages organized in SLC blocks and a plurality of QLC pages organized in QLC blocks. The technique comprises storing received data in SLC pages, dividing equally a QLC block in a predefined number of sub-blocks according to a corresponding QLC page health status of the pages of the QLC block. Upon determining that SLC pages are to be copied from SLC pages to QLC pages, copying device-internal the respective SLC pages to the sub-blocks of the QLC block using device-internal cache registers, where the copying is based on an error-count aware scheme.

Abstract: A decimal floating-point instruction is executed in a round-for-reround mode. The decimal floating-point instruction is configured to perform a decimal floating-point operation on a decimal floating-point operand. The executing includes forming based on performing the decimal floating-point operation, an intermediate result having a high order portion and a low order portion. The high order portion has a least significant digit. A rounded-for-reround number is created from the intermediate result. The rounded-for-reround number includes the high order portion of the intermediate result and based on the least significant coefficient digit of the high order portion being a selected value and based on the low order portion having another selected value, the least significant digit of the rounded-for-reround number is incremented. The rounded-for-reround number is stored.

Abstract: Provided are techniques for performing a search using a hypergraph. Entities are identified. A knowledge graph using the entities is generated, wherein nodes of the knowledge graph represent the entities and edges between the nodes represent pair-wise relationships, and wherein each of the edges carries an edge score that quantifies a degree of coherence between a pair of the entities. A hypergraph using the knowledge graph is generated, wherein nodes of the hypergraph represent the entities and hyperedges represent relationships between multiple entities, and wherein each of the hyperedges carries a hyperedge score that quantifies a degree of coherence between the multiple entities. A search request is received. A search result is generated using the hypergraph, wherein the search result comprises a set of coherently related entities. The search result is returned.

Abstract: Voice command type entry used as a basis for applying “audio effects” (see definition herein), “sound effects” (see definition herein) and/or audio edits (see definition herein) to a sound signal. This may be done so that the various types of instructed audio processing evoke, in typical listeners, a desired sentiment or mood. Artificial intelligence may be used to accomplish this objective.

Abstract: A computer system, processor, and/or method for changing the mode of operation of a computer without rebooting includes: a processor having a configuration register, the configuration register having a privilege entry (PRVS) register field for each of one or more privilege levels, each PRVS register field for each privilege level having one or more control aspect entries; and an enforce below (ENFB) register field, each ENFB register field for each privilege level having one or more control aspect entries, the PRVS register field control aspects being equal in number to and corresponding to the ENRB register field control aspects. The PRVS register fields and the ENFB register fields are used to change the processor from a secure mode to a performance mode while running software applications.

Abstract: Embodiments of the invention are directed to a structure that includes a resistive switching device (RSD). The RSD includes a first terminal having an outer sidewall surface; a second terminal; an active region having a switchable conduction state; and a first protective layer on the outer sidewall surface of the first terminal.

Abstract: A method, system, and computer program product for representational learning of product formulas are provided. The method accesses a set of product formulas. Each product formula includes a set of ingredient tuples. A directed graph is generated from the set of product formulas. The directed graph including a node for each ingredient of the sets of ingredient tuples of the set of formulas. The method generates a weighted graph from the directed graph. The weighted graph has a weight assigned to each edge in the directed graph. The method generates an embedding model based on the directed graph. A set of embeddings is determined for the weighted graph where each node is represented with low-dimensional numerical vectors.

Abstract: A processor may generate a workstation characteristics model of a workspace. A processor may generate respective user profiles for each of one or more users. Each of the respective user profiles may include user data associated with a respective user. A processor may assign, based on the respective user profiles, a respective risk level to each of the respective user profiles. A processor may compare each of the respective risk levels to a risk threshold level. A processor may apply a user characteristic model. A user characteristic model may be based on each of the respective risk levels and the workstation characteristics model. A processor may assign each of the one or more users to respective workstations based on the user characteristic model.

Abstract: An example system includes a processor to receive a data input and a predicted performance of a Deep Learning (DL) model deployed on a resource constrained edge device from a predictive model. The processor is to modify a control input for the DL model based on the data input and the predicted performance. The processor is to send the control input to the deployed DL model to modify performance of the DL model.

Abstract: A method and system of training an interpretable deep learning model includes receiving an input set of data, which may be complex. The input set of data is provided to deep learning model for feature extraction. In an exemplary embodiment, the deep learning model generates a disentangled latent space of features from the feature extraction. The features may comprise semantically meaningful data which is then provided to a low-complexity learning model. The low-complexity learning model generates output based on a specified task (for example, classification or regression). Being a low-complexity learning model provides confidence that the data output from the deep learning model is inherently interpretable.

Abstract: One or more computer processors identify one or more similar, historical regression tests and historical builds utilizing a computed similarity measure between a regressed build and one or more historical builds conducted on a same release cycle, wherein the identified one or more similar historical regression tests and historical builds are K closest neighbors to the regressed build; predict an elapsed time of the one or more profiled regression tests utilizing a KNN algorithm comprising the K closest neighbors each weighted by a corresponding average distance from a test point and the elapsed time as a target variable; responsive to the predicted elapsed time exceeding an actual elapsed time associated with the regressed build, determine that the regressed build is an actual regression; responsive to determining that the regressed build is not due to variability, apply one or more mitigation actions to the regressed build.

Abstract: Method and system are provided for scoring events as likely cause events in a resource network. The method processes incoming events relating to resources in a resource network to correlate related events as a related group and maps the events of the related group onto nodes of a sub-topology representing resources of the resource network and having edges representing relationships between the resources. The method scores each event by discovering one or more paths between the node event and other node events of the related group, with the scoring based on a combination of an event classification weight and a discovered path score of aggregated relationship scores of edges of a discovered path.

Abstract: An embodiment for determining presentation content effectiveness using attraction modeling is provided. The embodiment may include receiving presentation content from a meeting host during on online collaborative meeting. The embodiment may also include capturing one or more actions of one or more users during a display of the presentation content to the one or more users. The embodiment may further include creating an audience attention model. The embodiment may also include in response to determining at least one user is distracted from the presentation content, modifying the display of the presentation content for each distracted user in accordance with one or more characteristics associated with each distracted user. The embodiment may further include categorizing the one or more users into one or more groups. The embodiment may also include providing visual feedback to the meeting host.

Abstract: According to one embodiment, a method, computer system, and computer program product for front-end clipping reduction is provided. The embodiment may include capturing input, including at least one visual input and at least one audio input. The embodiment may also include modeling data regarding visual cues based on a visual input from the at least one visual input. The embodiment may further include marking one or more timestamps which, in light of the modeled data, correspond to speech in the at least one audio input. The embodiment may also include transmitting an audio input from within the at least one audio input corresponding to the one or more marked timestamps.

Abstract: A method, a system, and a computer program product for optimal link selection between user equipment and new radio stations in a non-standalone network. The method includes detecting a connection attempt by a user equipment to a non-standalone network that includes at least one base station and NR stations. The method also includes receiving connection data from the UE and connecting the UE to the base station. The method further includes determining an NR station from the NR stations based on channel quality measurements relating to the NR stations and the connection data of the UE using a prediction module that uses a machine learning model to predict the NR station. The channel quality measurements include cell range, uplink performance, cell capacity, and link quality. The method also includes connecting the UE to the NR station determined by the machine learning model.

Abstract: An embodiment determines, by a collaboration mode transition engine, based on biometrics data and behavioral data, a cognitive level of a user associated with a first collaboration mode in a plurality of collaboration modes. The embodiment determines, by the collaboration mode transition engine, based on collaboration mode usage data associated with the first collaboration mode, a cognitive level threshold of the user for the first collaboration mode. The embodiment selects, by the collaboration mode transition engine, responsive to a determination that the cognitive level exceeds the cognitive level threshold, a second collaboration mode in the plurality of collaboration modes. The embodiment transitions, by the collaboration mode transition engine, to the second collaboration mode.

Abstract: A system, computer program product, and method are provided for leveraging artificial intelligence (AI) directed at time-series forecasting. An AI transformer model is configured to support multiple modality datasets for predicting a target time-series together with an explanation through one or more neural attention mechanisms. The multiple modality transformer model exploits intermodal interactions from a first dataset having a first modality, in addition to multi-modality interactions between the first dataset and a second dataset having a second modality different from the first modality.

Abstract: The illustrative embodiments provide for improved transcription accuracy using a corpus of reference information. An embodiment includes retrieving, using web-scraping, written content for a topic from a source. The embodiment also includes generating a corpus of reference material for a user using the written content. Generating the corpus of reference may include using a natural language processor. The embodiment also includes analyzing, an audio of a video for spoken content for a reference in the corpus of reference material; Where analyzing may include using a content analyzer. The embodiment also includes transcribing, using a transcription service, spoken content within an audio of the video. The embodiment also includes identifying, using the content analyzer, references in the transcription using a content analyzer. Where the content analyzer compares the spoken content to written content within the corpus.

Abstract: An embodiment identifies, by a deployment restart engine, a change in a configuration from a first version to a second version. The embodiment determines, by the deployment restart engine, based on the change, whether to restart a deployment associated with the configuration. The embodiment determines, by the deployment restart engine, a deployment dependency associated with the deployment. The embodiment restarts, by the deployment restart engine, responsive to a determination to restart the deployment, based on the deployment dependency, the deployment.

Abstract: Various embodiments are provided herein for intelligent, self-learning log configuration generation for a corresponding application in a computing environment. A plurality of input data sources are examined to generate a log profile. The log profile is used to generate one or more cognitive log configurations. Those of a plurality of attributes and fields which are determined useful to be logged before a runtime operation are automatically retrieved. The plurality of attributes and fields are continuously optimized during the runtime operation using a feedback mechanism.

Abstract: An embodiment performs, by a digital contract modification analysis engine, a modification analysis between a first digital contract and a second digital contract. The embodiment identifies, by the digital contract modification analysis engine, a modification based on the modification analysis. The embodiment determines, by the digital contract modification analysis engine based on user data associated with a user, a risk assessment of the modification.

Abstract: An embodiment establishes an object behavior database, wherein the object behavior database comprises historical object behavior data corresponding to one or more objects. The embodiment scans a surrounding environment for one or more objects. The embodiment detects an object in the surrounding environment. The embodiment retrieves historical object behavior data corresponding to the object detected in the surrounding environment. The embodiment generates media corresponding to the object based in part on the historical behavior data and a current contextual scenario. The embodiment displays the media on a display interface.

Abstract: An embodiment classifies, by analyzing data generated by a first edge device, the data into a sensitivity category in a set of sensitivity categories. An embodiment classifies, by analyzing the data, the data into a redundancy category in a set of redundancy categories. An embodiment classifies, into a region category in a set of region categories, a region in which the first edge device is located. An embodiment selects, by applying a set of allocation rules, a storage category of the data generated by the first edge device, the selecting resulting in a selected storage category, the set of allocation rules applied according to the sensitivity category, the redundancy category, and the region category. An embodiment causes storage of the data generated by the first edge device in a storage device in the selected storage category.

Abstract: A computer-implemented method is provided for managing Garbage Collection (GC) safepoints. The method includes determining whether a GC safepoint for a target native method can be removed by checking a heap occupancy ratio prior to executing the target native method. The method further includes removing the GC safepoint responsive to the heap occupancy ratio prior to executing the target native method being less than a threshold occupancy amount percentage. The method also includes determining whether the GC safepoint for the target native method can be removed by checking a most recent GC pause time. The method additionally includes removing the GC safepoint responsive to the most recent GC pause time being shorter by a threshold pause time amount percentage than an execution time of the target native method.

Abstract: A computer-implemented method and computer program product for predicting an impact of an adjustment to a machine learning model to key performance indicators, and a forecasting engine. The computer-implemented method may comprise receiving a proposed adjustment to a machine learning model, calculating, using a regression machine learning model to ingest the proposed adjustment, a set of value components for a key performance indicator (KPI), calculating a plurality of results for the KPI using the set of value components, automatically determining whether the plurality of results exceeds a performance threshold, and recommending the proposed adjustment based on the determination.

Abstract: Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises determining a pattern within received data based on a periodicity associated with the received data; in response to a calculated signal score associated with the determined pattern of the received data meeting or exceeding a predetermined threshold transaction amount, tracing at least one location associated with the received data; and dynamically suspending an action associated with an account that generated the received data in response to the traced location not being associated with a historical baseline of the account.

Abstract: A method for selecting an application and associated operational guidance to utilize on a mobile device is disclosed. In one embodiment, such a method identifies a selected environment of interest. Within the selected environment, the method identifies one or more applications that are commonly utilized by users within the selected environment and documents the one or more applications. The method detects physical entry of a particular user into the selected environment and, in response to detecting the entry, automatically notifies the particular user of the one or more applications that are commonly utilized within the selected environment. In certain embodiments, the method enables the user to quickly launch the one or more applications and/or provides operational guidance to the user with regard to using the one or more applications. A corresponding system and computer program product are also disclosed.

Abstract: In an approach for enabling communication between offline devices to perform secure transaction, a processor sends information in an optically recognizable first code including a response type, an identity of the first device and a type of optical reader associated with the first device. A processor receives encoded information in an optically recognizable second code. A processor extracts a user identifier and the one-time password associated with the registered second device. A processor determines that a user certificate associated with the user identifier exists in a local repository. A processor validates the one-time password associated with the registered second device with the user certificate using a public certificate associated with the first device, the one-time password associated with the registered second device and the one-time password seed. A processor authenticates the user.

Abstract: In an approach, a processor receives a set of normal domains, a set of suspicious domains, and a set of malicious domains; labels each domain of the set of normal domains as normal producing a labelled set of normal domains and each domain of the set of suspicious domains and the set of malicious domains as malicious producing a labelled set of malicious domains; samples a preset percentage of the labelled set of normal domains producing a sampled set of normal domains; aggregates the sampled set of normal domains and the labelled set of malicious domains producing a set of aggregated domains; filters the set of aggregated domains using hit size, inter-arrival-time, and univariate volumetric filters producing a set of filtered domains; and determines a cluster of a set of clusters to which each of the set of filtered domains is to be assigned using a trained K-shape model.

Abstract: A method of constructing a superconducting switch includes depositing a thin sacrificial layer on top of a substrate. The sacrificial layer is patterned to remove portions of the sacrificial layer except at a first portion of the substrate. A superconducting metal layer is patterned on top of the substrate and on top of the sacrificial layer. The superconducting metal layer is patterned to form a superconducting metal line over the sacrificial layer. The patterned sacrificial layer is etched from under the superconducting metal line to release the metal line from the substrate.

Abstract: A phase change memory, system, and method for gradually changing the conductance and resistance of the phase change memory while preventing resistance drift. The phase change memory may include a phase change material. The phase change memory may also include a bottom electrode. The phase change memory may also include a heater core proximately connected to the bottom electrode. The phase change memory may also include a set of conductive rings surrounding the heater core, where the set of conductive rings comprises one or more conductive rings, and where the set of conductive rings are proximately connected to the phase change material. The phase change memory may also include a set of spacers, where a spacer, from the set of spacers, separates a portion of a conductive ring, from the set of conductive rings, from the heater core.