Abstract: A processor may receive a submission of a command. The processor may analyze the command for at least one commonality with a previous command and predict a predicted reason for the submission of the command based on historical learning. The processor may integrate the predicted reason into a corpus specific to a user, wherein the corpus includes user preference data, and wherein the processor predicts one or more orders of the user using the corpus.

Abstract: A computer-implemented method comprises obtaining a physical location of a sensor on a device; determining that quality of data captured by the sensor physically located on the device is degraded based on a comparison of the captured data to a quality threshold; and, in response to determining that the quality of the data captured by the sensor is degraded, displaying a visual indicator on a display of the device. The visual indicator includes at least one non-textual component that directs a user to the physical location of the sensor on the device.

Abstract: A computer-implemented method and a computer program product for optimizing groupings in a breakout session in a virtual classroom. A computer retrieves profiles of students in the virtual classroom, where the profiles of the students include data of academic performances of the students. The computer retrieves a known correspondents archive which includes historic data of productivities correlated to interactions among the students. In response to initialization of the breakout session in the virtual classroom, the computer determines optimal groups that yield most productive results, based on the profiles of the students, the known correspondents archive, and requirements of group settings given by an instructor, using a machine learning model. The computer provides the instructor with the optimal groups. In another embodiment, the computer analyzes context of customized assignments for the breakout session and determines the optimal groups further based on the context to the customized assignments.

Abstract: A method comprises detecting blockage of a sensor on a primary device while capturing media content with the sensor on the primary device and, in response to the detected blockage of the sensor, communicating with at least one secondary device in an area of the primary device to activate a corresponding sensor on the at least one secondary device which causes the corresponding sensor to capture media content simultaneously with the blocked sensor on the primary device. The method further comprises modifying the media content captured by the blocked sensor on the primary device based on the media content captured by the corresponding sensor on the at least one secondary device to mitigate effects of the blockage of the sensor on the primary device.

Abstract: A method comprises detecting blockage of a sensor on a primary device while capturing media content with the sensor on the primary device and, in response to the detected blockage of the sensor, communicating with at least one secondary device in an area of the primary device to activate a corresponding sensor on the at least one secondary device which causes the corresponding sensor to capture media content simultaneously with the blocked sensor on the primary device. The method further comprises modifying the media content captured by the blocked sensor on the primary device based on the media content captured by the corresponding sensor on the at least one secondary device to mitigate effects of the blockage of the sensor on the primary device.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can dynamically determine whether a received command conflicts with a current environment setting. Embodiments of the present invention can, in response to determining that the impact of a received command conflicts with a current environment setting, determine one or more solutions that resolves the received command. Embodiments of the present invention can then execute at least one of the one or more determined solutions.

Abstract: One or more computer processors establish a geofence surrounding a display having a plurality of pixels capable of change based on one or more display capabilities. The one or more computer processors monitor for a change in at least one pixel of the plurality of pixels. The one or more computer processors identify a photosensitive user within the established geofence. The one or more computer processors responsive to the at least one pixel change associated with the display, calculate a photosensitivity score utilizing a model trained for one or more photosensitive conditions associated with the photosensitive user. The one or more computer processors adjust the display to show a change on the at least one pixel based on the calculated photosensitivity score.

Abstract: One or more computer processors generate a network fractal based on one or more predicted network conditions for a network that includes a change in user density, user device latency, and network throughput, wherein the network fractal is a deployment template comprised of a plurality of nodes. The one or more computer processors select a configuration of network infrastructure devices placed at each node in the plurality of nodes comprised in the generated network fractal. The one or more computer processors modify the network utilizing the generated network fractal and the selected configuration of network infrastructure devices. The one or more computer processors deploy the modified network.

Abstract: A system for a dynamic weather-driven seat selection is provided. A computing device receives (i) weather data, (ii) venue data for a physical venue, and (iii) user preferences, the user preferences including preferred sun exposure information for a user. The computing device predicts cloud coverage and available shade for the physical venue, based, at least in part, on the weather data and the venue data. The computing device generates a sun exposure profile for the physical venue, based, at least in part, on the predicted cloud coverage and available shade. The computing device provides a user with a dynamic seat selection for a scheduled event at the physical venue based, at least in part, on the user preferences and the sun exposure profile.

Abstract: A method for augmenting communication, a computer program product for augmenting communication, and an augmented reality system. The method for augmenting communication may comprise calculating a sound boundary within which a communication can be heard, generating a visualization of the sound boundary on an augmented reality device, and presenting the visualization on the augmented reality device. The sound boundary may represent a predicted maximum distance at which the communication can be understood.

Abstract: Upon an attempt to communicate through an audio input source in a voice session, a determination can be made whether an audio quality received from a user through the audio input source is below an audio quality threshold. In response to determining that the audio quality through the audio input source is below the audio quality threshold, a first voice input can be received from the user from a first position. A second voice input can be received from the user from a second position. A first volume of the first voice input from the first position can be compared to a second volume of the second voice input from the second position. Feedback can be provided to the user indicating whether the user is closer or farther from the audio input source based on the comparison.

Abstract: A processor-implemented method for predicting alternative communications based on textual analysis. The method includes building, by machine learning, a model to predict an optimal communication method, whereby the building includes training the model on a knowledge corpus of historic data and user data, and results of previous predictions in similar circumstances. The method further includes intercepting textual communication within communication channels, wherein the intercepting comprises a keyboard capture, a screen capture, or both a keyboard capture and a screen capture. The method further includes identifying, by pattern analysis, sentiment analysis, and textual analysis, topics, sentiments, and participants within the intercepted textual communication. The method further includes predicting, by the model, the optimal communication method, whereby the optimal communication method comprises continuing the textual communication, a video conference or a telephone conference.

Abstract: A method, system and apparatus to generate an augmented voice command, including identifying a plurality of sounds from a respective plurality of transducers to a smart speaker device, generating a visualization of the sounds using an augmented reality device, wherein one or more of the sounds can be selected using the visualization, and generating the augmented voice command for the smart speaker device, wherein the augmented voice command comprises the one or more sounds selected using the visualization of the augmented reality device.

Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for transcribing media. The exemplary embodiments may include collecting media, extracting one or more features from the media, and transcribing the media based on the extracted one or more features and one or more models.

Abstract: In an approach for automatically generating and adding a timestamp to a comment left by a user on a media post based on a specific part of the media post referenced in the comment, responsive to receiving a comment on a media post, a processor completes a visual analysis and linguistic analysis of the media post. A processor completes a linguistic analysis of the comment. A processor performs a linguistic intent correlation analysis to determine a part of the media post that correlates to the comment. A processor determines a timestamp for the part of the media post. A processor adds the timestamp to the comment.

Abstract: A method, computer system, and a computer program product for media consumption gap filling are provided. Notification that a first user has selected a first broadcast channel to view while the first broadcast channel is showing a first program may be received. A desired program scheduled to be presented via the first broadcast channel at a time after an end of the first program may be determined. A first duration may be calculated that starts at a current time and ends at a scheduled time of commencement of the desired program. First gap-filling content that has a duration sufficient to fill the first duration may be identified. The first gap-filling content may be from a first personalized media corpus associated with the first user. The first gap-filling content may be presented.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can dynamically generate one or more images associated with a location based on contextual information that satisfies a request. Embodiments of the present invention can then display the dynamically generated one or more images on a user device. Embodiments of the present invention can then navigate a user to the location using the dynamically generated one or more images.

Abstract: A system for a dynamic weather-driven seat selection is provided. A computing device receives (i) weather data, (ii) venue data for a physical venue, and (iii) user preferences, the user preferences including preferred sun exposure information for a user. The computing device predicts cloud coverage and available shade for the physical venue, based, at least in part, on the weather data and the venue data. The computing device generates a sun exposure profile for the physical venue, based, at least in part, on the predicted cloud coverage and available shade. The computing device provides a user with a dynamic seat selection for a scheduled event at the physical venue based, at least in part, on the user preferences and the sun exposure profile.

Abstract: In an approach for automatically generating and adding a timestamp to a comment left by a user on a media post based on a specific part of the media post referenced in the comment, responsive to receiving a comment on a media post, a processor completes a visual analysis and linguistic analysis of the media post. A processor completes a linguistic analysis of the comment. A processor performs a linguistic intent correlation analysis to determine a part of the media post that correlates to the comment. A processor determines a timestamp for the part of the media post. A processor adds the timestamp to the comment.

Abstract: Disclosed embodiments provide smart device authentication and content transformation. A profile is created for members of a household. The member profiles include information about the members, including associated electronic devices, and a maximum allowable content rating (MACR). Using the associated electronic devices and/or other techniques, the presence of the members in proximity to content presentation devices is determined. In response to a member being detected in proximity to a content presentation device, and the content rating of the currently presented content exceeding the maximum allowable content rating (MACR) of the member in proximity, a content transformation is performed. The content transformation can include muting, pausing, changing, or otherwise obfuscating the presented content. Thus, the exposure of such content to the member is prevented or reduced. Embodiments allow users such as parents to obtain more control over the content that their children may be exposed to at their home.