Abstract: The present disclosure describes a device, computer-readable medium, and method for providing logistical support for robots. In one example, the method includes receiving, at a centralized support center that is in communication with a plurality of robots, a query from a first robot of the plurality of robots that has been deployed to perform a task, wherein the query indicates an error encountered by the first robot and evidence of the error collected by the first robot, formulating, at the centralized support center, a proposed solution to resolve the error, wherein the formulating comprises soliciting an analysis of the evidence by a party other than the first robot, and delivering, by the centralized support center, the proposed solution to the first robot.

Abstract: Aspects of the subject disclosure may include, for example, a machine-readable medium with executable instructions that facilitate performance of operations by a processor including receiving a registration for a trajectory of a satellite; estimating a zone of occupancy at a future time for the satellite; determining an interference of the satellite from the zone of occupancy at the future time; determining a deconfliction for minimizing or eliminating the interference; and sending the deconfliction to a controller of the satellite. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a machine-readable medium with executable instructions that facilitate performance of operations by a processor including receiving a registration for a trajectory of a satellite; estimating a zone of occupancy at a future time for the satellite; determining an interference of the satellite from the zone of occupancy at the future time; determining a deconfliction for minimizing or eliminating the interference; and sending the deconfliction to a controller of the satellite. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, machine learning models that learn reusable contributor embedding models representing contribution impacts. The contribution impacts represent the impact of contributions to media works made by contributors such as writers, directors, producers, actors, or combinations thereof. Machine learning models may then be used to perform contribution predictions from the reusable contributor embedding models. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device with a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of ingesting facilities infrastructure data for more than one facility; training a machine-learning (ML) model from the facilities infrastructure data, wherein the ML model infers features absent in the facilities infrastructure data and yields a score of a facility described by the facilities infrastructure data; receiving a query for a region from a user; identifying one or more facilities provided in the region; generating a map of the one or more facilities using the ML model; and providing a visualization interface to the user including the map and the score of the one or more facilities responsive to the query. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device, including a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of constructing a composite machine-learning (ML) model for facilities infrastructure from facilities infrastructure data; training the composite ML model with historical availability data, historical performance data, and historical error rates, wherein the composite ML model yields quality of the facilities infrastructure; receiving a query of a facility in an area from a user; predicting a quality of the facility based on recent facilities data using the composite ML model; and providing the quality of the facility responsive to the query. Other embodiments are disclosed.

Abstract: Management and configuration of internet of things network connected devices is facilitated herein. A probe device comprises a memory that stores executable instructions that, when executed by a processor, facilitate performance of operations that comprise determining a first identity and a first operational parameter of a first device and a second identity and a second operational parameter of a second device. The first device and the second device can be associated with a defined communication network. The probe device can be provisioned within the defined communication network and can operate as a security update probe node for the first device and the second device. The operations can also comprise facilitating a first security update at the first device and a second security update at the second device based on a determination that the first device and the second device have delegated responsibility for security synchronization to the probe device.

Abstract: A method for gaze-based workflow adaptation includes identifying a workflow in which a user is engaged, where the workflow comprises a plurality of tasks that collectively achieves a desired goal, creating a trigger for a given task of the plurality of tasks, wherein the trigger specifies an action to be automatically taken in response to a gaze of the user meeting a defined criterion, monitoring a progress of the workflow, monitoring the gaze of the user, and sending a signal to a remote device in response to the gaze of the user meeting the defined criterion, wherein the signal instructs the remote device to take the action.

Abstract: A method for validating objects appearing in volumetric video presentations includes obtaining a volumetric video presentation depicting a scene, wherein the volumetric video presentation is associated with a metadata file containing identifying information for the scene, identifying user-generated content that depicts the scene, by matching metadata associated with the user-generated content to the metadata file associated with the volumetric video presentation, comparing a first object appearing in the volumetric video presentation to a corresponding second object appearing in the user-generated content, assigning a score to the first object based on the comparing, wherein the score indicates a probability that the first object has not been manipulated, and altering the volumetric video presentation to filter the first object from the volumetric video presentation when the score falls below a threshold.

Abstract: A processing system having at least one processor may establish a communication session between a first communication system of a first user and a second communication system of a second user, the communication session including first video content of a first physical environment of the first user and second video content of a second physical environment of the second user, determine a first visualization action for a first physical object in the first physical environment in accordance with a first configuration setting of the first user for the communication session, obtain the first video content from a first camera of the first communication system, detect the first physical object in the first video content, and perform the first visualization action to modify the first video content. The processing system may then transmit first visualization information including the first video content that is modified to the second communication system.

Abstract: One example of a method includes receiving a plurality of video streams depicting a scene, wherein the plurality of video streams provides images of the scene from a plurality of different viewpoints, identifying a target that is present in the scene, wherein the target is identified based on a determination of a likelihood of being of interest to a viewer of the scene, determining a trajectory of the target through the plurality of video streams, wherein the determining is based in part on an automated visual analysis of the plurality of video streams, wherein the determining is based in part on a visual analysis of the plurality of video streams, rendering a volumetric video traversal that follows the target through the scene, wherein the rendering comprises compositing the plurality of video streams, receiving viewer feedback regarding the volumetric video traversal, and adjusting the rendering in response to the viewer feedback.

Abstract: Aspects of the subject disclosure may include, for example, obtaining portions of video content from a video game from video game server(s) associated with a video game provider, selecting a first portion of video content from the portions of the video content, and providing the first portion to device(s) associated with viewer(s). Each device presents the first portion of the video content. Further embodiments include obtaining popularity information from the device(s) according to feedback based on presenting the first portion of the video content to the device(s), determining that the popularity information satisfies a popularity threshold associated with the video content, determining a subject matter corresponding to the first portion of the video content, and identifying a second portion of the video content from the video game to be recorded according to the subject matter. Other embodiments are disclosed.

Abstract: Devices, computer-readable media, and methods for providing an enhanced indication of an object that is located via a visual feed in accordance with a user context are disclosed. For instance, in one example, a processing system including at least one processor may detect a user context from a visual feed, locate an object via the visual feed in accordance with the user context, and provide an enhanced indication of the object via an augmented reality display.

Abstract: Aspects of the subject disclosure may include, for example, predicting a field of view of a viewer to obtain a predicted field of view based on information about the viewer and a scoring of a point of interest in media content. A line of sight is obtained between the viewer and a presentation of the media content to obtain a viewer line of sight, and the scoring of the point of interest in the media content is updated to obtain an updated scoring based on the viewer line of sight, the predicted field of view being updated according to the updated scoring. Other embodiments are disclosed.

Abstract: Management and configuration of internet of things network connected devices is facilitated herein. A proxy device comprises a memory that stores executable instructions that, when executed by a processor, facilitate performance of operations that comprise determining a first identity and a first operational parameter of a first device and a second identity and a second operational parameter of a second device. The first device and the second device can be associated with a defined communication network. The proxy device can be provisioned within the defined communication network and can operate as a security update proxy node for the first device and the second device. The operations can also comprise facilitating a first security update at the first device and a second security update at the second device based on a determination that the first device and the second device have delegated responsibility for security synchronization to the proxy device.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first group of volumetric content, generating first metadata for the first group of volumetric content, and storing the first group of volumetric content. Further embodiments include obtaining a second group of volumetric content, generating second metadata for the second group of volumetric content, and storing the second group of volumetric content.

Abstract: A method for automatic selection of viewpoint characteristics and trajectories in volumetric video presentations includes receiving a plurality of video streams depicting a scene, wherein the plurality of video streams provides images of the scene from a plurality of different viewpoints, identifying a set of desired viewpoint characteristics for a volumetric video traversal of the scene, determining a trajectory through the plurality of video streams that is consistent with the set of desired viewpoint characteristics, rendering a volumetric video traversal that follows the trajectory, wherein the rendering comprises compositing the plurality of video streams, and publishing the volumetric video traversal for viewing on a user endpoint device.

Abstract: Aspects of the subject disclosure may include, for example, a device that includes a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of generating a solicitation for an advertisement; determining whether the solicitation meets a brand policy; responsive to the solicitation meeting the brand policy, publishing the solicitation; receiving user generated content (UGC) responsive to the solicitation; receiving feedback concerning the UGC; determining whether the UGC would be suitable as an advertisement based on the feedback; and responsive to the UGC being suitable as the advertisement, publishing the UGC as the advertisement. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, comparing an input received from a peripheral device associated with an execution of a gaming application with a threshold value, wherein the threshold value is based on a first identification of a first user, a second identification of the peripheral device, and a third identification of stimuli presented as part of the execution of the gaming application. Responsive to the comparing, a determination may be made that the input exceeds the threshold value. Responsive to the determination, a validation request may be transmitted to a user device of the first user. Other embodiments are disclosed.

Abstract: A processing system including at least one processor may capture data from a sensor comprising a microphone of a wearable device, the data comprising external audio data captured via the microphone, determine first audio data a first audio source in the external audio data, apply the first audio data to a situational detection model, and detect a first situation via the first situational detection model. The processing system may then modify, in response to detecting the first situation via the first situational detection model, the external audio data via a change to the first audio data in the external audio data to generate a modified audio data, in accordance with at least a first audio adjustment corresponding to the first situational detection model, where the modifying comprises increasing or decreasing a volume of the first audio data, and present the modified audio data via an earphone of the wearable device.