Abstract: The disclosed technology is directed towards virtual reality collaboration spaces with associated context data. Once created, a virtual reality collaboration space can be pervasively existent, such that the space can be joined or returned to as needed by any admitted participants. The existence of a created collaboration space in association with its collaboration context data can be advertised to specific invitees or general invitees, and can be searchable. In general, upon receiving a reservation request for reservation of a virtual reality collaboration space, a virtual location for the collaboration space is reserved. Access is granted to requesting entities authorized to access the space. Permissions can differ for different invitees, e.g., such that only permitted users can access proprietary information presented as a virtual reality element within the collaboration space. The collaboration space can also be used to drop off virtual reality elements, e.g., from one user to another user.

Abstract: The disclosed technology is directed towards devices (nonhuman entities) participating in social networks. Devices that join a nonhuman social network can share information, can learn from other devices, can assist in performing tasks and so forth. A device can search for an existing nonhuman social network that matches its criteria for joining a nonhuman social network, such as a nonhuman social network of the same type of devices, a nonhuman social network within a certain neighborhood, and so on. A device can form a nonhuman social network if one does not exist that meets the device's social network join criteria. A device's user may need to give approval to join and/or form a social network. A human social network can interact with a nonhuman social network, and there can be hybrid social networks of both human and nonhuman entities. A device can change social networks over time.

Abstract: Aspects of the subject disclosure may include, for example, defining an allowed bonding relationship between a user and equipment of an entity, where the defining the allowed bonding relationship includes generating a time condition and a location condition, accessing a user profile identifying user qualifications for the user, accessing policies associated with qualifications required for particular permissions associated with the equipment, and applying the policies to the user qualifications; receiving, from an end user device of the user, a request to activate the allowed bonding relationship; validating the request; activating the allowed bonding relationship based on the validating, the time condition and the location condition; and storing activation information indicating that the allowed bonding relationship has been created. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining data, the data including first data from a first sensor located within a first vehicle, based on the obtaining of the data, processing the data to identify a first status of the first vehicle, a first driver of the first vehicle, or a combination thereof, and communicating second data related to the first status to a second vehicle. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining data, the data including first data derived from a first sensor, analyzing, based on the obtaining of the data, the data to identify that a condition associated with an operation of a first vehicle represents a danger relative to a threshold, defining, based on the analyzing of the data, a zone corresponding to a range of locations associated with the danger, and identifying at least one action to invoke based on the defining of the zone, and causing, based on the identifying of the at least one action to invoke, the at least one action to be invoked. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving, by a processing system including a processor, first sensor data collected at a first time at a location; analyzing, by the processing system, the first sensor data to determine a baseline condition for network equipment at the location; receiving, by the processing system, second sensor data collected at a second time at the location; analyzing, by the processing system, the second sensor data to determine a present condition for the network equipment; comparing, by the processing system, the present condition to the baseline condition to determine a change in the network equipment; and analyzing, by the processing system utilizing Artificial Intelligence (AI) modeling, the change to predict a future time in which the network equipment should be repaired. Other embodiments are disclosed.

Abstract: The disclosed technology is directed towards delivering electronic messages from senders to recipients in an intelligent way, based on the determined likelihood of each recipient acting on a message. Message delivery can be delayed upon delayed message delivery criterion being satisfied, based on user profile data the user establishes for each messaging application. Predicted recipient user availably, predicted recipient user receptivity and/or the identity of the sender, for example, can be used as factors in determining delivery data representing the likelihood of a recipient acting on a message. Delivery of the message is to a recipient's device is delayed when the delivery data satisfies delayed delivery criterion. The delayed delivery time can be determined from the recipient user's predicted availably and/or receptivity data, and/or the identity of the sender. The sender is notified of a delayed message delivery, and can be presented with options as to other actions to take.

Abstract: Aspects of the subject disclosure may include, for example, a media consumption database that stores data elements describing conditions under which electronic media content is consumed by a user on an electronic device. A search of the media consumption database based on at least a portion of the conditions may result in at least a portion of the electronic media content to be re-presented to an electronic device of the user Other embodiments are disclosed.

Abstract: The disclosed technology is directed towards managing the establishment and maintenance of communication connectivity between a device and service. Condition data can indicate when to initiate a state change of a connection between a device and a server. Current device conditions associated with the device are evaluated to determine whether to initiate a state change, e.g., from a connected state to a paused state, or vice-versa. The connectivity may be managed per connection type, e.g., cellular versus Wi-Fi, and on a per-application basis, e.g., turned on for a social media application, off for mail and messaging applications. Settings can be used to manage connectivity for an application, e.g., sometimes connected, sometimes paused based on information specific to that application. Trends, user practices and schedule data can be used to predict and manage connectivity, as well as to notify the user to take some action.

Abstract: Aspects of the subject disclosure may include, for example, performing signal measurements in a wireless network. An area of interest within a coverage area of the communications network may be identified based on the signal measurements. Zones within the area of interest may be further identified. Additional test measurements within the area of interest may be requested. Test devices may be dispatched to locations within the area of interest to perform the additional test measurements. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, software content being distributed from an edge network node in a communications network to a first vehicle. The first vehicle may provide the software content to other vehicles with or without further involvement by the communications network. The vehicles may be part of a group and/or may form an ad hoc group. Other embodiments are disclosed.

Abstract: Techniques are described that facilitate dynamically predicting and minimizing risks associated with performance of physical tasks. In one example embodiment, method comprises obtaining, by a system comprising a processor, current health status information regarding a current health status of an entity and task information regarding a task to be performed by the entity. The method further comprises determining, by the system, a personalized assessment of an ability of the entity to perform the task relative to an environment in which the task is to be performed based on the current health status information and the task information, and determining, by the system, risk information regarding a risk associated with performance of the task by the entity within the environment as a function of the personalized assessment.

Abstract: Services for trust conveyances of entities can be provided and managed. In connection with a transaction between first and second devices, a trust management component (TMC) can indicate trust levels of entities associated with the devices with regard to the transaction and/or an action attempted by an entity. With regard to an action attempted by the first entity, the trust level of the first entity can be evaluated to determine whether it is high enough to allow the action to proceed or to have the second entity respond to the action accordingly. If it is not high enough, the second entity, using the second device, can request a trust conveyance from the first entity via the TMC. The TMC can adjust the respective trust levels based on the outcome(s) of the action(s) of the respective entities with regard to executing the transaction.

Abstract: The disclosed technology is directed towards detection of personal threats to a user based on information known to a user's device and other information. A device with a personal threat application program and server communicate information, including data describing the user's current physical situation, e.g., including current location. The server and/or application program obtain data describing environmental conditions around the user's location, e.g., corresponding to a defined personal zone. The personal zone size automatically can vary based on current factors. Based on the situation and environmental data reaching a threshold threat level, a potential threat to the user can be predicted and the prediction, used to take some action, such as to send an alert to the user and/or otherwise output a warning signal. Historical data such as statistics related to the user's current location can be accessed to assist with the prediction.

Abstract: Method, computer-readable media, and apparatuses for applying at least one remedial action within a communication session via at least one network in response to detecting via at least one detection model that the audio content of a first user is off-topic are described. For example, a processing system including at least one processor may establish a communication session between at least a first communication system of a first user and a plurality of communication systems of a plurality of additional users via at least one network. The processing system may then determine at least one topic for the communication session, detect, via at least one topic detection model, an audio content of the first user that is off-topic, and apply at least one remedial action within the communication session in response to the detecting that the audio content of the first user is off-topic.

Abstract: The disclosed technology is directed towards monitoring media content, including without presenting the monitored media content via a media presentation device, or while presenting in parallel. In general, supplementary data describing the monitored media content is obtained, e.g., generated by a media server based on the content being monitored. The supplementary data is presented via a user interface for a user to monitor, e.g., as displayed text, documents, audio in or other ways such as a combination of text and images. The user interface can be a primary presentation device the user is using, and/or another user device. The supplementary data can describe scenes of video, and/or transcriptions of audio, for example. The supplementary data can be interacted with, such as to switch to present the monitored media content or a selected portion thereof. Multiple media content presentations can be monitored, with supplementary data available for each.

Abstract: The technology described herein is generally directed towards determining that a user is passively attending a meeting via a connected device, collecting data created during the meeting, and outputting information based on the collected data for the user to monitor the meeting. Join criteria can be associated with passive meeting attendee, and if the collected meeting data satisfies the join criteria, the attendee can transition to an active attendee. Keyword data can be used to represent information relevant to a meeting attendee. Based on collected and monitored meeting data presented during the meeting and the keyword data, the meeting can be determined to have reached a relevance/pertinence level by which action is taken to change the user from a passive attendee to an active attendee. This can include a transition period that allows a user to catch up on previous meeting information before becoming an active attendee.

Abstract: Techniques are described that facilitate predicting and minimizing risks associated with vehicle usage contexts. In one example, a method comprises obtaining, by a system comprising a processor, vehicle state information identifying occupants and objects of a vehicle and relative positions of the occupants and the objects about the vehicle in association with a current usage context of the vehicle. The method further comprises determining, by the system, an assessment of potential injuries associated with the current usage context of the vehicle based on analysis of the vehicle state information, wherein the analysis comprises evaluating potential movement of the occupants and the objects. The method further comprises determining, by the system, risk information regarding a risk associated with the current usage context of the vehicle as a function of the assessment.

Abstract: Synchronized satellite communications can include receiving, at a computer having a processor, a data request that identifies a requesting device, data to be received by the requesting device, and a time at which the data is to be received by the requesting device. The processor can determine a geographic location of the requesting device and locations of a plurality of satellites; identify, based on the geographic location of the requesting device and the locations of the plurality of satellites, satellites that are to provide the data to the requesting device; generate instructions for loading network requirements to the satellites; and provide, to at least one of the satellites, the instructions. Additionally, embodiments of the concepts and technologies disclosed herein can be used to provide the same data and/or different data to multiple devices at the same time.

Abstract: The disclosed technology is directed towards detection of personal threats to a user based on information known to a user's device and other information. A device with a personal threat application program and server communicate information, including data describing the user's current physical situation, e.g., including current location. The server and/or application program obtain data describing environmental conditions around the user's location, e.g., corresponding to a defined personal zone. The personal zone size automatically can vary based on current factors. Based on the situation and environmental data reaching a threshold threat level, a potential threat to the user can be predicted and the prediction, used to take some action, such as to send an alert to the user and/or otherwise output a warning signal. Historical data such as statistics related to the user's current location can be accessed to assist with the prediction.