Abstract: Within a video frame, elements are identified. A graph is constructed for a portion of video content including the video frame. Using the graph and an excitement level corresponding to an element in the plurality of elements, the video frame is divided into an alterable region and an unalterable region. By solving an optimization problem, a compute resource and a rendering application are selected, the compute resource represented by a runtime feature vector encoding a plurality of features describing execution of the rendering application on the compute resource. Using the compute resource and the rendering application, a background image corresponding to the alterable region is rendered. The unalterable region and the background image are combined into a rendered video frame, the rendered video frame replacing the video frame within the portion of video content.

Abstract: A method for detecting conflation errors in an augmented reality interface is disclosed. In one embodiment, such a method includes receiving an actual screenshot of an augmented reality interface. The method generates, using a generative adversarial network (GAN), a replica screenshot of the augmented reality interface that indicates how the actual screenshot is expected to appear. The replica screenshot is non-identical to the actual screenshot. The method receives the actual screenshot and the replica screenshot into a fractal-based convolutional neural network (CNN) to determine a correlation between the actual screenshot and the replica screenshot. In the event the correlation is below a designated threshold, the method flags the actual screenshot as having a potential conflation error. This conflation error may involve conflating a digital component for a physical component or vice versa. A corresponding system and computer program product are also disclosed.

Abstract: The present inventive concept provides for a method of battery pack thermal and gaseous stress mitigation. The method includes obtaining data related to batteries within a battery pack. Features are extracted from the obtained data related to the batteries. The extracted features include effected batteries, battery positions, gas and temperature measurements, and gas and temperature thresholds. The extracted features are mapped. Effected battery patterns are identified. Space is created between the effected batteries and adjacent batteries based on the identified effected battery patterns.

Abstract: A computer-implemented method includes generating two tensile circles based on a common circle created by overlapping two tensile spheres. An angle is determined using a modulo function and a predefined value. The angle is applied to both tensile circles. Next, multiplicands are determined for both tensile circles based on the angle applied to both tensile circles. The method then encrypts and/or decrypts data using a symmetric cryptography technique and the multiplicands.

Abstract: From data of a first interaction environment, user activity data while using the first interaction environment, and user biometric data while using the first interaction environment, a first cognitive load index is generated. A first directed acyclic graph corresponding to the first cognitive load index is generated. Using a graph convolutional network, the first directed acyclic graph, and a second directed acyclic graph generated from a second cognitive load index, a set of cognitive overload causation factors is generated. Using the set of cognitive overload causation factors, the first interaction environment is adjusted.

Abstract: A computer-implemented method for detecting a change in a meta-environment is disclosed. The method comprises collecting historic parameter values from at least one actor being active in the meta-environment, wherein each of the at least one actors has a set of abilities represented by parameters relating to the collected parameter values, collecting current parameter values from the at least one actor being active in the meta-environment, determining weight values of the collected historic parameters and weight values of the collected current parameters, and upon a value of a function of the determined weight values of the historic parameters and the weight values of the collected current parameters being greater than a predefined threshold value, determining a detection of the change in the meta-environment.

Abstract: Using a logistic regression classification model executing on a processor, a topic is classified into an interaction type in a set of predefined interaction types. A set of documents corresponding to the topic is extracted from a document repository. Using a generative adversarial model executing on a processor, a sentiment corresponding to a reaction to a previous presentation is scored, the scoring resulting in a scored sentiment. Using a trained attention layer model, the interaction type, the set of documents, and the scored sentiment are weighted, the weighting generating a weighted interaction type, a weighted set of documents, and a weighted scored sentiment. Using a natural language generation transformer model executing on the processor, a document in the weighted set of documents is weighted according to the weighted interaction type and the weighted scored sentiment.

Abstract: A computer-implemented process using a queue management system includes the following operations. A user and a plurality of configurable nodes are identified in a scope of the queue management system. A proximity between the user and a particular one of the plurality of configurable nodes is dynamically determined in real-time. Using a machine learning engine and based upon the proximity and historical data associated with the scope of the queue management system, a probability measure that the user will engage with the particular one of the plurality of configurable nodes is determined. Based upon the probability measure exceeding a threshold, the user is added to a queue managed by the queue management system. Based upon the user being added to the queue, a state of the one of the plurality of plurality of configuration nodes is altered by the queue management system.

Abstract: Edge function-guided artificial intelligence (AI) request routing is provided by applying a machine learning model to predictors of cloud endpoint hydration to determine hydration levels of cloud endpoints, of a hybrid cloud environment, that provide AI processing, determining, for each edge component of a plurality of edge components of the hybrid cloud environment and each cloud endpoint of the cloud endpoints, alternative flow paths between the edge component and the cloud endpoint, the alternative flow paths being differing routes for routing data between the edge component and the cloud endpoint, and the alternative flow paths being of varying flow rates determined based on the hydration levels of the cloud endpoints, and dynamically deploying edge functions on edge component(s), the edge functions configuring the edge component(s) to alternate among the alternative flow paths available in routing AI processing requests from the edge component(s) to target cloud endpoints of the cloud endpoints.

Abstract: Each of a plurality of portions of a source code base of an application is classified into an algorithm type in a predefined set of algorithm types. A code base model of the source code base is constructed, the code base model comprising a plurality of nodes connected by edges, a node in the plurality of nodes representing a classified portion in the plurality of portions. In response to a natural language query about the source code base, a natural language explanation of the classified portion is generated.

Abstract: A computer-implemented method and system for autonomic cloud to edge compute allocations in a sports fantasy league trade transaction. The computer implemented method includes, in one embodiment, calculating, based on an expected return associated with each player on each of a plurality of teams in a fantasy sports league, a valuation for each player. An embodiment includes determining a positional need for each of the plurality of teams in the fantasy sports league, and determining, based on the valuation for each player and the positional need for each team, one or more players to include in a trade with another team of the plurality of teams.

Abstract: Modifying digital content based on predicted future user behavior is provided. Trends in propagation values corresponding to a layer of nodes in an artificial neural network are identified based on measuring the propagation values at each run of the artificial neural network. The trends in the propagation values are forecasted to generate predicted propagation values at a specified future point in time. The predicted propagation values are applied to the layer of nodes in the artificial neural network. Predicted website analytics values corresponding to a set of website variables of interest for the specified future point in time are generated based on running the artificial neural network with the predicted propagation values. A website corresponding to the set of website variables of interest is modified based on the predicted website analytics values corresponding to the set of website variables of interest for the specified future point in time.

Abstract: An embodiment includes identifying a first simulation and a second simulation such that the first simulation is within a threshold similarity of the second simulation. The embodiment generates a set of emergent simulations based at least in part on emergent hyperparameters, where the emergent hyperparameters are generated using the hyperparameters of the first and second simulations. The embodiment selects a subset of the set of emergent simulations according to a diversity metric and detects a causation variable in the selected subset of emergent simulations. The embodiment then generates a predictive simulation using the causation variable.

Abstract: A server for regulating power from a Power-over-Ethernet switch to a plurality of vision sensors includes the following operations. An evaluation of individual contributions that each of the plurality of vision sensors makes to operational efficiency of the vision system is performed. Information indicative of a degradation condition to the plurality of vision sensors is received from the plurality of vision sensors. An amount of power needed to be supplied from the switch to alleviate the degradation condition of the plurality of vision sensors is estimated based upon the information indicative of the degradation condition. A determination is made that a total amount of power supplied from the switch exceeds an available amount of power capable of being supplied from the switch. Power from the switch to the plurality of vision sensors is individually regulated in real-time using a prioritization determined according to the evaluation.

Abstract: Synchronizing a sensor network and an ontology by analyzing outputs of a set of sensors, analyzing relationships of an ontology, mapping the outputs to the relationships, identifying a correlation among the outputs, and modifying the ontology according to the correlation.

Abstract: A computer-implemented method, a computer system and a computer program product control participant interaction within remote meeting sessions. The method includes capturing participant data using a device, where the participant data is associated with a participant within the remote meeting session and is selected from a group consisting of: audio data, image data and text data. The method also includes identifying an event in the participant data. The method further includes determining that the participant has not modified a participant interaction mode. Lastly, the method includes modifying the participant interaction mode of the participant when the event is classified as causing a change of the participant interaction mode.

Abstract: Using a model executing on a classical processor, a set of classical features is scored. The scored set of classical features is divided into a set of feature groups, a number of classical features in a group determined according to a qubit capability of a quantum processor. Using a model executing on the quantum processor and a group of the scored set of classical features, a set of quantum features is scored. The score of a quantum feature is adjusted according to an accuracy of the quantum data model. The scored set of classical features and the scored set of quantum features are combined according to a measure of differences between the scored set of classical features and the scored set of quantum features. Using the combined set of scored features and a first set of input data of a resource, a valuation of a resource is calculated.

Abstract: A computer-implemented method dynamically mutes irrelevant sources of noise. The method includes identifying one or more sources of a noise in a vicinity of a listening device, where the listening device is associated with a user and the listening device includes a noise canceling function. The method also includes determining, for the user, a context, where the context represents a subject of a conversation related to the user. The method further includes calculating, for each of the one or more sources of noise, a relevance score. The method includes muting, by the listening device, each of the sources of noise where the associated relevance score is below a relevance threshold.

Abstract: Using a probability distribution and a search result history, a probability of selecting a specified number of relevant samples and a specified number of irrelevant samples from a set of contents is computed, each content in the set of contents comprising a content copied to a first system clipboard of a first device. Using the probability distribution, each content in the set of contents is weighted. Using the weighted set of contents, a set of predicted searches is generated. The set of predicted searches is presented for selection responsive to an indication of intent to perform a search. A selected search within the set of predicted searches is caused to be performed.

Abstract: An embodiment includes accessing captured video of a first physical object in a physical environment. The embodiment also includes detecting a feature of the first physical object in a first frame of the video. The embodiment encodes a first qubit with a first quantum state based on a first value of the feature of the first physical object, and then entangles the first qubit with a second qubit forming an entangled qubit pair. The embodiment detects a second quantum state of the second qubit of the entangled qubit pair and renders computer-generated content of a virtual environment that includes a computer-generated first virtual object that corresponds to the first physical object, where the rendering comprises determining a property of the first virtual object based on the detected second quantum state.