Abstract: Provided are a computer program product, system, and method for generating a visualization of data points returned in response to a query based on attributes of a display device and display screen to render the visualization. A determination is made of inputs comprising area dimensions of the display screen and capabilities of the display device to render data points retrieved in response to a query. The inputs and the data points are provided to a visualization engine to output a type of visual presentation for the data points, a size of the visual presentation to render on the display screen, and a level of detail to aggregate the data points to render on the display screen. A visualization is generated to render on the display screen the data points in the type of visual presentation according to the size of the visual presentation and with the level of detail.

Abstract: According to one embodiment, a method, computer system, and computer program product for digital twin carrier simulation is provided. The embodiment may include identifying an occurrence of a contamination event. The embodiment may also include generating a digital twin of an area within a preconfigured distance of the contamination event. The embodiment may further include identifying one or more modes of spread for a contaminant released during the contamination event. The embodiment may also include performing a digital twin simulation of the area using the generated digital twin and the one or more identified modes of spread. The embodiment may further include calculating a contaminant propagation pattern based on the digital twin simulation.

Abstract: According to one embodiment, a method, computer system, and computer program product for disaster prediction and mitigation is provided. The embodiment may include generating a knowledge corpus of a grazing pattern of a livestock group in a preconfigured area. The embodiment may also include generating a knowledge corpus of a growing pattern of flora for each of a plurality of sections in the preconfigured area. The embodiment may further include generating a prediction based on the knowledge corpuses. The embodiment may also include performing an action based on the prediction.

Abstract: A mechanism is provided for remote virtual reality viewing of an event using crowdsourcing. Each video perspective of a plurality of video perspectives of the event is analyzed to identify content and context of the event. A digital virtual reality (VR) experience (VRX) token stream of each video perspective of the plurality of video perspectives is produced based on the identified content and the identified context of the event. Responsive to a remote user initiating a viewing of a virtual reality presentation of the event, a set of digital VRX token streams of the event is presented to the remote user. Responsive to the remote user selecting one digital VRX token stream of the set of digital VRX token streams, the selected digital VRX token stream is presented to the remote user in a virtual reality format.

Abstract: A processor may receive user command generated by a user. A processor may analyze user information for one or more official activities. The one or more official activities are based, at least in part, on a security policy. A processor may identify the user information is associated with the one or more official activities. A processor may prevent, responsive to determining the user command is associated with the one or more official activities, the one or more personal devices from collecting the user command.

Abstract: Computer technology for making sure that no viewer in an audience of multiple co-viewers will effectively be presented with audiovisual content portions that inappropriate and/or irrelevant for that co-viewer. Avoiding the effective presentation of inappropriate and/or irrelevant content to one or more of the co-viewers may involve currently conventional techniques such as blurring, scrambling, obscuring, distracting, etc.

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: Devices are dynamically paired at a new location based on historical context with respect to previous device pairing and a pairing environment. A request is received at a computer to pair a user device to a device at a new location. Historical context of the user device paired at a previous location to one or more devices at the previous location is analyzed. Pairing of the user device to the device at the new location is automatically initiated based on the analysis of the historical context, and the automatic initiation includes adjusting settings on the user device based on the historical context. Pairing the user device to the device at the new location automatically.

Abstract: A computer-implemented method classifies and creates a container file based on non-functional parameters. The method includes analyzing, by a learning model, a codebase. The codebase includes code for one or more applications. The method also includes identifying, based on the analyzing, a set of functional requirements for each application and a set of non-functional parameters. The method further includes classifying a first application of the one or more applications with a first non-functional parameter. The method includes generating a first container file for the first application. The first container file includes the functional requirements for the first application and the first non-functional parameter. The method further includes creating a first container from the first container file.

Abstract: Provided are a computer program product, system, and method for generating a visualization of data points returned in response to a query based on attributes of a display device and display screen to render the visualization. A determination is made of inputs comprising area dimensions of the display screen and capabilities of the display device to render data points retrieved in response to a query. The inputs and the data points are provided to a visualization engine to output a type of visual presentation for the data points, a size of the visual presentation to render on the display screen, and a level of detail to aggregate the data points to render on the display screen. A visualization is generated to render on the display screen the data points in the type of visual presentation according to the size of the visual presentation and with the level of detail.

Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for allocating computing resources. The exemplary embodiments may include collecting data of one or more users, wherein the collected data comprises calendar data of the one or more users, extracting one or more features from the collected data, and allocating one or more computing resources to one or more of the users based on the extracted one or more features and one or more models.

Abstract: A method, a computer program product, and a computer system for generating and rating assessments is disclosed. Exemplary embodiments include gathering data relating to one or more specialized subject areas and generating a knowledge base based on extracting one or more concepts from the data. Exemplary embodiments further include generating one or more questions and one or more corresponding answer keys relating to the one or more concepts, as well as generating an assessment related to the one or more concepts based on the one or more questions and one or more answer keys.

Abstract: A processor may receive application data regarding a session on a video communication application. The processor may receive user data regarding one or more participants associated with the session. The processor may analyze application data to identify contextual features of the application data. The processor may identify that a first contextual scenario has occurred.

Abstract: A method for software code integration from media files includes comparing portions of development code in an integrated development environment to a plurality of classified portions of a plurality of media files. The method also includes identifying a first classified portion of a first media file from the plurality of media files for integration into the development code, where the first classified portion includes a first snippet of code associated with a first function. Responsive to receiving a user confirmation, the method also includes extracting the first snippet of code associated with the first function.

Abstract: Epidemiological modeling and simulation includes generating a virtual representation of a predetermined geospatial region by communicating in real time via a data communications network with a plurality of sensor-endowed computing nodes that capture and convey sensor-generated data in real time to the networked computer. A causal network is derived for mapping biodata onto inferences regarding pathogenic vector dynamics of a known pathogen based on stochastic vector probabilities. The biodata can be culled from historical data associated with the predetermined geospatial region. A visualization of selected characteristics of the predetermined geospatial region is generated and a corresponding epidemiological model created based on the historical data. Sensor-generated data and historical data are correlated. An expected effect of the known pathogen on a population of the geospatial region is predicted using a model simulation based on correlating the sensor-generated data and historical data.

Abstract: First sensor data can be received from a first set of IoT devices. Sensor data collection rates can be determined for a first artificial intelligence model by analyzing the first sensor data using a second artificial intelligence model. Based on the sensor data collection rates, sensor control commands can be communicated to a second set of Internet of Things devices. The sensor control commands can specify, to the second set of Internet of Things devices, sensor data communication rates that respective ones of the second set of Internet of Things devices are to implement for communicating, to the first artificial intelligence model, second sensor data generated by sensors of the respective ones of the second set of Internet of Things devices.

Abstract: Provided are techniques for thermally efficient route selection. A request is received for a route for a vehicle to travel from a first geographic location to a second geographic location. Route data is retrieved for each of a plurality of routes, where the route data includes, for each portion of each route at a given time and day, air temperature adjacent to a road surface. Vehicle data is retrieved for the vehicle, where the vehicle data includes a desired temperature of an item being carried and a desired inlet air temperature. The route from the first geographic location to the second geographic location is determined using the route data and the vehicle data, where the route is thermally efficient. The vehicle is directed along the route, where the route specifies a lane from a plurality of lanes of a road for each portion of the route.

Abstract: A mechanism is provided for remote virtual reality viewing of an event using crowdsourcing. Each video perspective of a plurality of video perspectives of the event is analyzed to identify content and context of the event. A digital virtual reality (VR) experience (VRX) token stream of each video perspective of the plurality of video perspectives is produced based on the identified content and the identified context of the event. Responsive to a remote user initiating a viewing of a virtual reality presentation of the event, a set of digital VRX token streams of the event is presented to the remote user. Responsive to the remote user selecting one digital VRX token stream of the set of digital VRX token streams, the selected digital VRX token stream is presented to the remote user in a virtual reality format.

Abstract: A method includes determining a plurality of voice assistance systems located in a plurality of environments and receiving, from a headset of a user, a voice command from the user. The voice command lacks an identifier for a first voice assistance system of the plurality of voice assistance systems in a first environment of the plurality of environments. The method also includes predicting, based on the voice command, a subset of the plurality of voice assistance systems for executing the voice command and communicating, to the headset, images of environments of the plurality of environments in which the subset of the plurality of voice assistance systems are located. The method further includes detecting that the user selected, from the images, an image of the first environment that contains the first voice assistance system and in response, communicating the voice command to the first voice assistance system.

Abstract: A computer-implemented method classifies and creates a container file based on non-functional parameters. The method includes analyzing, by a learning model, a codebase. The codebase includes code for one or more applications. The method also includes identifying, based on the analyzing, a set of functional requirements for each application and a set of non-functional parameters. The method further includes classifying a first application of the one or more applications with a first non-functional parameter. The method includes generating a first container file for the first application. The first container file includes the functional requirements for the first application and the first non-functional parameter. The method further includes creating a first container from the first container file.