Abstract: A method optimizes a training of a machine learning system. A conflict detection system discovers a conflict between a first training data and a second training data for a machine learning system, where the first training data and the second training data are ground truths that describe a same type of entity, and where the first training data and the second training data have different labels. In response to discovering the conflict between the first training data and the second training data for the machine learning system, an oracle adjusts the different labels of the first training data and the second training data. The machine learning system is then trained using the first training data and the second training data with the adjusted labels.

Abstract: A method can include determining by photogrammetry, a first volume of a food-product unit and a second volume of a food-product subunit. The food-product subunit can be a separated portion of the food-product unit. The method can further include generating a code for the food-product subunit. The code can include a first identifier for the food-product unit and a second identifier for the food-product subunit. The first identifier can be based, at least in part, on the first volume. The second identifier can be based, at least in part, on the second volume. The method can further include assigning the code to the food-product subunit.

Abstract: A computer-implemented method according to one embodiment includes running an initial network on a plurality of images to detect actors pictured therein and body joints of the detected actors. The method further includes running fully-connected networks in parallel, one fully-connected network for each of the detected actors, to reconstruct complete three-dimensional poses of the actors. Sequential model fitting is performed on the plurality of images. The sequential model fitting is based on results of running the initial network and the fully-connected networks. The method further includes determining, based on the sequential model fitting, a locational position for a camera in which the camera has a view of a possible point of collision of two or more of the actors. The camera is instructed to be positioned in the locational position.

Abstract: A method, computer system, and a computer program product for speech synthesis is provided. The present invention may include generating one or more final voiceprints. The present invention may include generating one or more voice clones based on the one or more final voiceprints. The present invention may include classifying the one or more voice clones into a grouping using a language model, wherein the language model is trained using manually classified uncloned voice samples. The present invention may include identifying a cluster within the grouping, wherein the cluster is identified by determining a difference between corresponding vectors of the one or more voice clones below a similarity threshold. The present invention may include generating a new archetypal voice by blending the one or more voice clones of the cluster where the difference between the corresponding vectors is below the similarity threshold.

Abstract: A processor may receive irritant data associated with one or more environments and a user. A processor may analyze the irritant data. A processor may identify that one or more irritants associated with the user, are located in the one or more environments. A processor may generate an irritant alert to the user. The irritant alert may indicate at least one irritant of the one or more irritants is associated with the one or more environments.

Abstract: Embodiments for providing clinical practice guidelines by a processor. One or more clinical practice guidelines (CPGs) may be automatically generated according for one or more cohorts using evidence data and patient data from one or more data sources.

Abstract: A computer-implemented method for local arrangement of remote deployment is provided according to embodiments of the present disclosure. In this method, a starting request to connect with a remote virtualization entity proxy can be received. A network tunnel can be initiated between a local system and the remote virtualization entity proxy. Then, at least one component in the remote virtualization entity proxy can be arranged into a local virtualization entity in the local system via the network tunnel.

Abstract: A semiconductor nanosheet device including semiconductor channel layers vertically aligned and stacked one on top of another, separated by a work function metal, and a second layer between two first layers, the second layer and two first layers between the semiconductor channel layers and a substrate. A semiconductor device including a lower first layer, a second layer, and a source drain region between a first set of semiconductor channel layers vertically aligned and stacked one on top of another, and a second set of semiconductor channel layers. A method including forming a stack sacrificial layer, a stack of nanosheet layers, forming a cavity by removing the stack sacrificial layer, and simultaneously forming a first layer on an upper surface of the stack sacrificial layer, on vertical side surfaces of the set of sacrificial gates, and an upper first layer and a lower first layer in a portion of the cavity.

Abstract: A method, computer system, and a computer program product for optimizing web conferencing is provided. The present invention may include receiving data for an organization, the organization being comprised of a plurality of participants. The present invention may include receiving a scheduled web conference. The present invention may include determining a network bandwidth threshold for each of the plurality of participants of the scheduled web conference based on at least the data received for the organization and data associated with the scheduled web conference. The present invention may include monitoring a network bandwidth of the scheduled web conference. The present invention may include determining whether to transmit a line art drawing for one or more participants based on the network bandwidth of the scheduled web conference.

Abstract: A flexible display of a flexible display device can be divided and have removable sections for use as one or more wearable devices. The flexible display can be divided into a plurality of portions. The plurality of portions are divided along a plurality of dividing lines each having a locking mechanism, respectively. A power supply is electrically connected to the locking mechanisms to activate and deactivate the locking mechanisms. A portion of the plurality of portions border corresponding locking mechanisms along corresponding dividing lines of the plurality of dividing lines. The portion is selectable for decoupling and removal, in response to deactivation of the corresponding locking mechanisms for the portion of the flexible display.

Abstract: A semiconductor structure including a first dielectric layer comprising a first conductive metal feature embedded in the first dielectric layer; and a second dielectric layer including a second conductive metal feature embedded in the second dielectric layer, the second conductive metal feature is above and directly contacts the first conductive metal feature, and an interface between the second conductive metal feature and the second dielectric layer includes a repeating scallop shape along its entire length.

Abstract: Aspects of the present invention disclose a method for calculating a risk resulting from a network of networks that includes unknown relationships in a privacy preserving manner. The method includes one or more processors determining a set of conditions corresponding to a user of a network. The method further includes transmitting a compliance request corresponding to the set of conditions to one or more members of the network utilizing a privacy preserving algorithm. The method further includes determining a respective risk factor of one or more members of the network, wherein the respective risk factor corresponds to a response of each of the one or more members to the compliance request. The method further includes determining an overall risk of the network based at least in part on the risk factors of the one or more members.

Abstract: A method allows access to computer resources to authorized native applications on a client device. An authorization server receives, from a native application on a device, an initial authorization grant, a public key of a private/public key pair generated on the device, and an attestation of authenticity of the native application. The authorization server receives, from the native application on the device, a refresh token and a digital signature of the refresh token that is created with the private key. The authorization server recognizes the refresh token only if the refresh token is verified with the public key that has been previously registered. The authorization server validates the digital signature of the refresh token, and transmits a new access token and a new refresh token to the native application on the device, thus allowing the native application on the device to access the computer resource.

Abstract: Techniques facilitating density-functional theory determinations using a quantum computing system are provided. A system can comprise a first computing processor and a second computing processor. The first computing processor can generate a density-functional theory determination. The second computing processor can input a quantum density into the density-functional theory determination. The first computing processor can be operatively coupled to the second computing processor. Further, the first computing processor can be a classical computer and the second computing processor can be a quantum computer.

Abstract: A machine learning model is generated for drug efficacy prediction in treatment of genetic disease from a dataset correlating gene expression data for disease-cell samples with drug efficacy values for the samples. Bias weights are stored that correspond to respective genes in the samples. Each bias weight is dependent on predetermined relevance of the respective gene to drug efficacy. The model is generated by processing the dataset via a tree ensemble method wherein decision trees are grown with splits corresponding to respective genes in the samples. The gene for each split is chosen from a respective subset of the genes, and genes are selected for inclusion in this subset with respective probabilities dependent on the corresponding bias weights. The model is stored, and can be applied to gene expression data measured for a patient to obtain a personalized drug efficacy prediction for devising a personalized course of treatment.

Abstract: A wireless power system includes a phase locked loop (PLL) providing an input signal tuned in frequency, a plurality of dividers coupled to the PLL to divide the frequency of the input signal, a plurality of phase interpolators electrically connected to the plurality of dividers to generate multiple phases based on the input signal, and a plurality of drivers electrically connected to the plurality of phase interpolators to direct a plurality of output signals each having a different frequency to a plurality of sensor clusters, each sensor cluster operating at a different frequency.

Abstract: Methods and systems for metering computing resources in cloud computing environments are disclosed. A method includes: executing, by a computing device, computing tasks on computing resources; determining, by the computing device, an amount of time and an amount of power used in the executing the computing tasks on the computing resources; determining, by the computing device, a number of standard units consumed by the computing tasks based on the determined amount of time and the determined amount of power; and metering, by the computing device, the computing resources based on the determined number of standard units consumed by the computing tasks.

Abstract: The scheduling or allocation of images to nodes of a containerized computing environment is provided. Images that share layers (i.e. images that have one or more layers in common) are allocated to the same node. To determine whether different images share one or more layers, leveraging metadata that is associated with the images is provided. By analyzing metadata associated with the images, it may be determined if the images have one or more layers in common (i.e. comprise the same layer(s)). In this way, information that is already available with conventional images may be used.

Abstract: An embodiment includes processing a dataset to generate a set of feature vectors that include a first feature vector corresponding to a first concept within a user's areas of interest and a second feature vector corresponding to a second concept within the user's areas of study. The embodiment identifies clusters of the feature vectors and identifies key features that most contribute to influencing the clustering algorithm. The embodiment selects the first feature vector in response to a user query, and then selects the second feature vector based on an overlap between key features of the first and second feature vectors and a degree of dissimilarity between the first and second concepts. The embodiment outputs a query response that includes the second concept. The embodiment also determines an effectiveness value based on sensor data indicative of a user action responsive to the outputting of the response to the query.

Abstract: Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises analyzing a performed query by identifying a plurality of indicative markers based on a pre-stored classification database associated with the performed query; generating a plurality of facets based on the analysis of the performed query; selecting at least two facets within the generated plurality of facets by determining a quantitative similarity value between each respective facet and the plurality of identified indicative markers associated with the performed query; dynamically ranking the selected facets by prioritizing the selected facets based on a calculated overall score associated with assigned weighted values for each selected facet in the generated plurality of facets using a supervised machine learning algorithm; and displaying the dynamically ranked facets within a user interface of a computing device associated with a user.

Abstract: This disclosure provides a computer-implemented method, a computer system and a computer program product for database compression oriented to combinations of fields of a database record. One or more combinations of fields of a record of a database are determined that satisfy a frequency criterion indicating that access frequencies of the one or more combinations of fields are higher than an access frequency threshold. The record is reorganized based on the one or more combinations of fields to store fields of each combination of the one or more combinations of fields in a respective contiguous storage space. The reorganized record is compressed by applying a compression scheme to the one or more combinations of fields.

Abstract: A second BEOL layer including a via dielectric layer surrounding a via including an upper metal stud and a lower metal stud separated by a liner, and a magnetic tunnel junction (MTJ) stack aligned above the via. A first back end of line (BEOL) layer including a BEOL dielectric layer surrounding a BEOL metal layer, a second BEOL layer including a via dielectric layer surrounding a via including an upper metal stud and a lower metal stud separated by a liner, a magnetic tunnel junction (MTJ) stack aligned above the via. Forming a via dielectric layer as a second back end of line (BEOL) layer, an opening, a lower metal stud in the opening, a liner on the lower metal stud and on exposed side surfaces of the opening, an upper metal stud in remaining portions of the opening, and forming a magnetic tunnel junction (MTJ) stack aligned above.

Abstract: A computer-implemented method includes storing usage of a resource of said computer system as time-stamped resource usage values, comparing said time-stamped resource usage values with predetermined time-stamped performance goal values, assigning a time-stamped priority value to an application that is running based on at least one of said performance goal values, identifying a future workload demand value by applying a time-series analysis algorithm to at least some of said time-stamped resource usage values and a corresponding at least some of said time-stamped performance goal values for said application resulting in workload demand time frames and related amplitudes of said workload demand time frames, and adjusting a dispatch priority value for said application by setting a minimum dispatch priority for said application based on said future workload demand value.

Abstract: A computer-implemented system and related method secures the access of a data object in a datastore by a remote system without user-specific credentials. The method comprises using a processor of a data resident operating system for verifying, using a security resource profile for the datastore, which access entity the remote system has access to, but without the user-specific credentials. The method also provides the security resource profile through a security application program interface (API) to the processor to determine whether access to the access entity should be allowed. The method allows the access to the data object by the remote system when the security resource profile exists and permits the access.

Abstract: A semiconductor structure may include a first nanosheet field-effect transistor formed on a first portion of a substrate, a second nanosheet field-effect transistor formed on a second portion of the substrate, and one or more metal contacts. The first field-effect transistor formed on the first portion of a substrate may include a first source drain epitaxy. A top surface of the first source drain epitaxy may be above a top surface of a top-most nanosheet channel layer. The second nanosheet field-effect transistor formed on the second portion of the substrate may include a second source drain epitaxy and a third source drain epitaxy. The second source drain epitaxy may be below the third source drain epitaxy. The third source drain epitaxy may be u-shaped and may be connected to at least one nanosheet channel layer.

Abstract: Aspects of the invention include methods, systems, and computer program products for integrated circuit development using cross-hierarchy antenna condition verification. A method includes obtaining a design of a hierarchical macro distributed between multiple files for an integrated circuit and analyzing, by a design verification tool, a route between at least one child macro and at least one pin of the hierarchical macro as defined in the files. The method further includes determining, by the design verification tool, a plurality of connection characteristics of the at least one child macro and the at least one pin forming the route and calculating, by the design verification tool, an antenna condition for the route based on the connection characteristics. The design of the hierarchical macro is adjusted to remove a violation of an antenna rule based on determining that the antenna condition of the route violates the antenna rule.

Abstract: An embodiment of the invention may include a semiconductor structure, method of use and method of manufacture. The structure may include a heating element located underneath a temperature-controlled portion of the device. A method of operating the semiconductor device may include providing current to a thin film heater located beneath a temperature-controlled region of the semiconductor device. The method may include performing temperature dependent operations in the temperature-controlled region.

Abstract: Techniques regarding quantum computer error mitigation 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, and that can execute the computer executable components stored in the memory. The computer executable components can comprise an error mitigation component that interpolates a gate parameter associated with a target stretch factor from a reference model that includes reference gate parameters for a quantum gate calibrated at a plurality of reference stretch factors.

Abstract: Embodiments are disclosed for a method for machine-learning model accuracy. The method includes generating prediction training data based on training predictions and corresponding probabilities of the training predictions. A classifier of a machine-learning model generates the training predictions. The method also includes training a prediction accuracy model to determine whether the training predictions generated by the machine-learning model are correct. Additionally, the method includes generating predictions in response to corresponding client transactions for the machine-learning model. Further, the method includes determining whether the predictions are accurate using the prediction accuracy model. Also, the method includes providing client predictions corresponding to the client transactions based on the determination.

Abstract: Techniques regarding determining hyperparameters for a differentially private federated learning process 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, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a hyperparameter advisor component that determines a hyperparameter for a model of a differentially private federated learning process based on a defined numeric relationship between a privacy budget, a learning rate schedule, and a batch size.

Abstract: With a computerized search engine, retrieve a plurality of electronic documents relevant to a query. Obtaining, via computerized term embedding, from the retrieved documents, a plurality of most similar terms with respect to the query. For each of the most similar terms, determine a pervasiveness score and a relevance score. Filter out, from the most similar terms, those of the terms that are pervasive, based on the pervasiveness score, those of the terms that are irrelevant, based on the relevance score, and those of the terms that are redundant. Output a top number of terms remaining in the most similar terms after the filtering, based on similarity to the query, as discriminative facets.

Abstract: An entity learning recognition method and computer program product include learning training a model based on a combination of an original entity and an augmented entity in an augmented database, where the entity includes an image that is used for a training of the model and where the training is based on a visual element portion of the image with added noise.

Abstract: Provided is a magnetoresistive random-access memory (MRAM) cell. The MRAM cell comprises a top contact, a hard mask layer below the top contact, and a magnetic tunnel junction (MTJ) below the hard mask layer. The MRAM cell further comprises a diffusion barrier below the MTJ, a bottom contact below the diffusion barrier, and a magnetic liner arranged around the bottom contact.

Abstract: Generating questions by receiving user utterance data, determining an intent confidence vector for the user utterance data, predicting, by a trained next user-intent prediction model, a next user-intent confidence vector using the intent confidence vector, and generating a next question using the next user-intent confidence vector.

Abstract: Embodiments herein describe an automated process for identifying tasks that can be converted from primarily being driven by a human agent into bot-driven RPAs. This disclosure describes techniques for automatically generating RPAs by monitoring the actions of the agent and identifying corresponding events. These events can be performed on unstructured data sources and structured data sources. The events are clustered into different tasks where pattern detection techniques are used to identify common (or overlapping) events and causal relationships between the events. Using these causal relationships, the system can map events performed on unstructured data sources to events performed on structured data source. The system can then generate respective bot-RPAs for the tasks. The system can monitor, in real-time, data received from unstructured and/or structured data sources and when it identifies data for one of the bot-RPAs, automatically execute the RPA to perform the task.

Abstract: An example operation may include a method comprising one or more of creating a VNFC monitor, starting a VNFC monitor, sending VNFCI state change notifications which includes a status of one or more VNFC modules, stopping a VNFC monitor, and destroying a VNFC monitor.

Abstract: An example operation may include one or more of monitoring, by a blockchain node, a delivery of a service to a first node from a second node based on a service contract and an order retrieved from a blockchain, determining, by the blockchain node, an incremental charge for a partial delivery of the service based on the monitoring, and executing, by the blockchain node, a smart contract to issue the incremental charge for the partial delivery of the service, and responsive to a resolution of a dispute raised for the incremental charge, add the incremental charge to an incremental invoice.

Abstract: Provided are techniques for determining an effect of a message on a personal brand based on future goals. A message is received from an entity for a social media platform. Additional messages related to the message are identified. A reaction sentiment trend is determined for each topic of the additional messages for a period of time. An effect the message has on a personal brand of the entity in future is predicted based on future goals of the entity and based on the reaction sentiment trend for each topic. An indication of whether the message is aligned with the future goals based on the predicted effect is provided. In response to the message being aligned with the future goals, the message is posted to the social media platform. In response to the message not being aligned with the future goals, one or more suggestions to modify the message are provided.

Abstract: Methods, computer program products and/or systems are provided that perform the following operations: obtaining a performance matrix representing accuracies obtained by executing a plurality of pipelines on a plurality of training data sets, wherein a pipeline comprises a series of operations performed on a data set; selecting a defined number of top pipelines as potential pipelines for a testing data set based, at least in part, on a similarity between the testing data set and each of the plurality of training data sets represented in the performance matrix; storing results from executing each of the potential pipelines as a new data set; determining a pipeline accuracy for each of the potential pipelines when executed against the testing data set; and providing a recommended pipeline for use with the testing data set based, at least in part, on the pipeline accuracy for each potential pipeline.

Abstract: A computer-implemented method is provided for improving accuracy recognition of digital speech. The method includes receiving the digital speech. The method further includes splitting the digital speech into overlapping chunks. The method also includes computing a bidirectional encoder embedding of each of the overlapping chunks to obtain bidirectional encoder embeddings. The method additionally includes combining the bidirectional encoder embeddings. The method further includes interpreting, by a speech recognition system, the digital speech using the combined bidirectional encoder embeddings.

Abstract: An interconnect structure and a method of forming the interconnect structure are provided. The interconnect structure includes one or more metal lines in direct contact with a top surface of one or more devices and one or more vias in direct contact with top surfaces of the one or more metal lines. The interconnect structure also includes one or more dielectric pillars in direct contact with the top surface of the one or more devices. A height of a top surface of the one or more dielectric pillars above the one or more devices is equal to a height of a top surface of the one or more vias above the one or more devices.

Abstract: A set of sensor data collected from one or more sensors associated with a bioprinted tissue is received. The set of sensor data is analyzed to determine whether a condition for controlled movement of the bioprinted tissue is met. A control signal is issued to a set of expansive elements to perform the controlled movement in response to determining that the condition for controlled movement of the bioprinted tissue is met.

Abstract: A system for collecting water may include a base and a first arm connected to the base. The first arm may have a first base portion connected to the base and a first extension portion opposite the first base portion. The system may further include a grid extended between the base and the first extension portion. The grid may include a set of hydrophilic fibers extending substantially parallel to the base and a set of hydrophobic fibers intersecting with the hydrophilic fibers.

Abstract: A method of preparing a computer processor die includes determining a warpage shape of the computer processor die at a testing temperature. The method also includes selectively contouring a thickness of the computer processor die at a contouring temperature by physically removing material from a surface of the computer processor die such that the surface will be substantially flat at the testing temperature.

Abstract: Techniques that facilitate a measurement scheme for superconducting qubits using low-frequency microwave signals within a dilution refrigerator are provided. In one example, a cryogenic microwave system for measuring superconducting qubits using microwave signals includes a dilution refrigerator system for a quantum processor. The dilution refrigerator system converts a microwave signal associated with qubit information into a reduced-frequency microwave signal based on a Josephson-mixer circuit located within the dilution refrigerator system. The reduced-frequency microwave signal includes a frequency below a qubit frequency and a readout resonator frequency associated with the quantum processor.

Abstract: Clocks of two semiconductor circuit are set to a common clock source when both the first and second semiconductor circuits are in a slow clock speed at which an input/output (IO) at an interface between the first and second semiconductor circuit is capable of operating. Division counters of the two clocks are synchronized at the slow clock speed. The two semiconductor circuits are switched to a fast clock speed that is a multiple of the slow speed, wherein the IO is not capable of operating at the fast clock speed. Pulses from a division counter of the first circuit are sent to a spare division counter of the second circuit, and then a primary division counter of the second counter is aligned to this spare division counter to keep the two circuits synchronized at the fast clock speed.

Abstract: A quantum transducer device that comprises a microwave resonator component and optical resonator component that receives and transduce a set of optical photons and at least one of: a voltage pulse or modulated laser pulse, and generate a single microwave photon output.

Abstract: A computer implemented method for managing the scope of permissions granted by users to application that includes collecting a set of permissions for an application from an application provider publication; and collecting a process flow for functional steps of the application from a review of the application that is published on a product review type publication. The computer implemented method further includes dividing the functional steps of the application into a plurality of journeys, each of said plurality of journeys having a function associated with a stage of a functional step from a perspective of a user; and matching permissions from the set of permissions for each journey of said plurality of journeys to provide matched permissible permissions to journeys stored in a customer journey store.

Abstract: Systems, methods and/or computer program products for controlling and visualizing topic modeling results using a topic modeling interface. The interface allows user directed exploration, understanding and control of topic modeling algorithms, while offering both semantic summaries and/or structure attribute explanations about results. Explanations and differentiations between results are presented using metrics such as cohesiveness and visual displays depicting hierarchical organization. Through user-manipulation of features of the interface, iterative changes are implemented through user-feedback, adjusting parameters, broadening or narrowing topic results, and/or reorganizing topics by splitting or merging topics. As users trigger visual changes to results being displayed, users can compare and contrast output from the topic modeling algorithm.

Abstract: A technique for storage-efficient cyber incident reasoning by graph matching. The method begins with a graph pattern that comprises a set of elements with constraints and connections among them. A graph of constraint relations (GoC) in the graph pattern is derived. An activity graph representing activity data captured in association with a host machine is then obtained. In response to a query, one or more subgraphs of the activity graph that satisfy the graph pattern are then located and, in particular, by iteratively solving constraints in the graph pattern. In particular, a single element constraint is solved to generate a result, and that result is propagated to connected constraints in the graph of constraint relations. This process continues until all single element constraints have been evaluated, and all propagations have been performed. The subgraphs of the activity graph that result are then returned in response to a database query.