Abstract: An example method includes identifying a need and an emotional state of a user who is participating in an interaction with a support application, retrieving a set of preferences for the user, selecting a set of features for an avatar to be presented to the user, wherein the set of features is selected based at least on the emotional state of the user and the set of preferences, selecting a stored workflow based on the need of the user, and rendering the avatar to exhibit the set of features and to present the stored workflow as part of the interaction.

Abstract: An example method includes identifying a need and an emotional state of a user who is participating in an interaction with a support application, retrieving a set of preferences for the user, selecting a set of features for an avatar to be presented to the user, wherein the set of features is selected based at least on the emotional state of the user and the set of preferences, selecting a stored workflow based on the need of the user, and rendering the avatar to exhibit the set of features and to present the stored workflow as part of the interaction.

Abstract: Aspects of the subject disclosure may include, for example, identifying an uncrewed aerial vehicle (UAV) for route planning and power management, obtaining information regarding the UAV, a present location of the UAV, a destination location for the UAV, or a combination thereof, determining, based on the information, a need for the UAV to recharge a power source of the UAV as part of a journey of the UAV from the present location of the UAV to the destination location for the UAV, responsive to the determining the need, identifying a recharging station associated with a network for recharging the power source of the UAV, and calculating a flight path for the UAV in accordance with the identifying the recharging station. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining data from a plurality of sensors at a first point in time, analyzing the data to identify a first level of alertness of a user, predicting a second level of alertness that is required by the user to operate a machine at a second point in time that is subsequent to the first point in time, comparing the first level of alertness to the second level of alertness to generate a first comparison result, identifying a first type of a first notification based on the first comparison result, identifying a third point in time to provide the first notification based on the first comparison result, wherein the third point in time is subsequent to the first point in time and prior to the second point in time, and providing the first notification at the third point in time. Other embodiments are disclosed.

Abstract: Aspects include receiving a search request, comparing at least one term of the search request to a plurality of metadata items, wherein each metadata item of the plurality of metadata items is associated with a respective asset of a plurality of assets, generating a plurality of scores, wherein each score of the plurality of scores is associated with a respective asset included in the plurality of assets, and wherein a value of each score of the plurality of scores is based on an identification of a user, selecting at least one asset of the plurality of assets in accordance with the plurality of scores and in accordance with at least one threshold, providing the at least one asset to a communications device that is associated with the user, and providing at least a portion of a metadata item included in the plurality of metadata items to the communications device.

Abstract: A processing system including at least one processor may identify a user viewpoint of a user at a first venue, match a viewpoint at a second venue to the user viewpoint of the user at the first venue, detect a trigger condition to provide visual content of the second venue to the user at the first venue, obtain the visual content of the second venue, wherein the visual content of the second venue is obtained from the viewpoint at the second venue, and provide the visual content of the second venue to an augmented reality device of the user at the first venue, where the augmented reality device presents the visual content of the second venue as a visual overlay within a field of view of the user.

Abstract: The present disclosure provides task delegation and cooperation for automated assistants. In one example, a method performed by a processing system that is in communication with a plurality of automated assistants includes receiving, a query indicating a task with which a user desires assistance, parsing the task into a plurality of sub-tasks including a first sub-task and a second sub-task, identifying a first automated assistant of the plurality of automated assistants that is capable of performing the first sub-task and a second automated assistant of the plurality of automated assistants that is capable of performing the second sub-task, and formulating a proposal for responding to the query, wherein the proposal comprises a sequence in which the plurality of sub-tasks is to be performed and a mapping that assigns the first sub-task to the first automated assistant and the second sub-task to the second automated assistant.

Abstract: A processing system including at least one processor may monitor a condition of a premises during a time period via at least one sensor, where at least one user is permitted a use of the premises during the time period, detect a change in the condition of the premises during the time period via the at least one sensor, determine a violation of at least one rule relating to the use of the premises by the at least one user, wherein the violation is indicated by the change in the condition, and generate an alert of the violation of the at least one rule relating to the use of the premises by the at least one user.

Abstract: A network-connected electronic device may obtain, at a location, a notification that a network-connected sensor device at the location is activated in response to a triggering of a critical rule of the network-connected sensor device, determine whether the triggering of the critical rule of the network-connected sensor device will activate a function of the network-connected electronic device, activate the function of the network-connected electronic device in response to the determining that the triggering of the critical rule of the network-connected sensor device will activate the function of the network-connected electronic device.

Abstract: Aspects of the subject disclosure may include, for example, identifying user preferences for an XR application executing at an XR user system, wherein the user preferences are associated with an XR application user, accessing a historical profile associated with the XR application user, receiving local environment information from a sensor array of the XR user system, selecting an XR object for presentation on an XR display of the XR user system based on the local environment information, the user preferences, and the historical profile, and allocating compute resources to facilitate a rendering of the XR object, wherein the allocated compute resources are selected from a compute resource pool comprising local compute resources of the XR user system and edge compute resources of a network. Other embodiments are disclosed.

Abstract: A processing system including at least one processor may detect a loss of power event for a managed area, where the managed area includes a plurality of infrastructure elements that rely upon electric power grid power, and where the plurality of infrastructure elements provides a plurality of infrastructure services. The processing system may then identify at least one vehicle that is capable of providing at least one of the plurality of infrastructure services, where the at least one vehicle comprises an autonomous vehicle, and transmit an instruction to the at least one vehicle to deploy to a location of at least one of the plurality of infrastructure elements to provide the at least one of the plurality of infrastructure services.

Abstract: A processing system including at least one processor may detect a location and an orientation of an augmented reality endpoint device of a user at a venue, identify a permission zone of the venue within a field of view of the augmented reality endpoint device in accordance with the location and the orientation of the augmented reality endpoint device, determine at least one condition for the user to access the permission zone, and present, via the augmented reality endpoint device, first visual information associated with the at least one condition for the user to access the permission zone, where the first visual information associated with the at least one condition is presented within the field of view and comprises at least one feature indicative of an association with the permission zone.

Abstract: A processing system including at least one processor may detect a first location and a first orientation of an augmented reality endpoint device of a user at a venue, identify an entryway of a first enclosed space of the venue that is within a first field-of-view of the augmented reality endpoint device in accordance with the first location and the first orientation of the augmented reality endpoint device, and present, via the augmented reality endpoint device, first visual information of the first enclosed space. The first visual information may include first imagery of the first enclosed space and may be presented within the first field-of-view.

Abstract: Concepts and technologies are disclosed herein for communications network security for handling proxy voice calls that employ a voicebot. According to one aspect disclosed herein, a call handling system can intercept, from a communications network, a call request that is directed to a called target device. The call handling system can determine that the call request was generated by a voicebot on behalf of a user equipment. The call handling system can suspend the call request from being routed to the called target device. The call handling system can generate a voicebot confirmation request that identifies the voicebot and the user equipment. The call handling system can provide the voicebot confirmation request to the called target. The call request can be suspended while the voicebot confirmation request is provided to the called target device.

Abstract: Methods, systems, and apparatuses may provide for the auto-determination of partial usage of a physical environment and use derived intelligence to take various actions. This may allow for partial resulting maintenance of the physical environment based on a single use or use over time.

Abstract: A method performed by a processing system including at least one processor includes monitoring interactions of a human user with a platform for building machine learning models, where the human user is using the platform to build a new machine learning model, detecting, within the interactions, an event that triggers a suggestion feature, performing a search of a data source for existing data from existing machine learning models which can be reused to build the new machine learning model, using information about the event, presenting a suggestion to the human user to reuse a portion of the existing data discovered in the search in the new machine learning model, receiving a user feedback in response to the suggestion, and generating an updated suggestion in response to the user feedback.

Abstract: Aspects of the subject disclosure may include, for example, receiving information about a task to be completed by a user, receiving information about the user and receiving information about a physical environment of the user. The subject disclosure may further include creating one or more immersion objects based on the information about the task, the information about the user and the information about the physical environment, creating an immersive environment including the one or more immersive objects and at least a portion of the physical environment of the user, and communicating to an extended reality (XR) device of the user information about the immersive environment to create an immersive experience for completion of the task by the user. Other embodiments are disclosed.

Abstract: A method performed by a processing system including at least one processor includes defining a proposal for a proposed machine learning model, identifying an existing machine learning model, where the existing machine learning model shares a similarity with the proposed machine learning model, evaluating a fitness of the existing machine learning model for reuse in building the proposed machine learning model, building a new machine learning model that is consistent with the proposal for the proposed machine learning model by reusing a portion of the existing machine learning model, and monitoring a performance of the new machine learning model in a deployment environment.

Abstract: Interactive content can be managed and provided to occupants of an automated vehicle to enhance their experience while in the vehicle. Orchestrator component can determine interactive content based on conditions associated with the vehicle, user preferences, video content, or other information. Interactive content can comprise video content, audio content, and control content. Video content can comprise augmented reality or virtual reality content. Control content can be used to control vehicle operation in relation to or synchronization with presentation of video content. Orchestrator component can correlate between certain roads on which the vehicle can travel and entertainment presentations presented to a vehicle occupant. Orchestrator component can control vehicle operation to have the vehicle recreate a vehicle action sequence (VAS) in a video program being presented to the occupant in the vehicle.

Abstract: A processing system including at least one processor may collect first data of at least one first sensor device associated with an external metric, collect second data of a second sensor device associated with the external metric, and calculate a discrepancy between the first data and the second data. The processing system may then determine an accuracy of the second sensor device based upon the discrepancy and generate a report indicative of the accuracy of the second sensor that is determined.