Abstract: An example method performed by a processing system includes retrieving a digital model of a media element from a database storing a plurality of media elements, wherein the media element is to be inserted into a scene of an audiovisual media, rendering the media element in the scene of the audiovisual media, based on the digital model of the media element and on metadata associated with the digital model to produce a rendered media element, wherein the metadata describes a characteristic of the media element and a limit on the characteristic, and inserting the rendered media element into the scene of the audiovisual media.

Abstract: A processing system may detect at least one endpoint device of at least one user at a premises having a first plurality of functions, may obtain at least one user profile that indicates a second plurality of functions associated with the at least one user, each function having a maximum available function level, and may obtain a visitor profile associated with the premises defining permitted function levels for one or more functions from among the first plurality that the at least one user is permitted to access. The processing system may then select a set of shared functions and function levels for the set based on the at least one user profile and the visitor profile, the set of shared functions including a first function of the first plurality and a second function of the second plurality, and may activate the set at the premises with the function levels.

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: A processing system may identify a plurality of user interaction data associated with a target category of a plurality of users, identify a relevant subset of user interaction data, compress the plurality of user interaction data to the relevant subset of user interaction data, train a machine learning model with the relevant subset of user interaction data, obtain additional user interaction data associated with an additional user, identify a relevant subset of the additional user interaction data, apply the relevant subset of the additional user interaction data as an input to the machine learning model, obtain an output of the machine learning model quantifying a measure of which the relevant subset of the additional user interaction data is indicative of the target category, and perform at least one action responsive to the measure of which the relevant subset of the additional user interaction data is indicative of the target category.

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: 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: Methods, computer-readable media, and systems for enhancing food service operations using Internet of Things-enabled dinnerware are disclosed. One method performed by a processing system including at least one processor includes obtaining data about a food item that is being prepared for a consumer, forwarding the data about the food item to an internet of things-enabled item of dinnerware, receiving, from the internet of things-enabled item of dinnerware, data about consumption of the food item by the consumer, and providing feedback to an endpoint device of a person who prepared the food item for presentation to the person who prepared the food item, in response to the data about the consumption of the food item by the consumer.

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 processing system including at least one processor may obtain at least a first identifier associated with an endpoint device of a user at a location, determine, based on the at least the first identifier, that the user is an authorized participant of at least one service at the location, and provide an identity token to the endpoint device, where the identity token is for use at the location in connection with the at least one service, provide to the endpoint device a list of other identity tokens associated with endpoint devices of other users at the location, detect a communication between the endpoint device of the user and an endpoint device of the other user in accordance with the identity token and another identity token, from among the other identity tokens, and record information characterizing the communication in an electronic ledger associated with the at least one service.

Abstract: A processing system including at least one processor may obtain a first input data set associated with a telephone number from a first service provider that implements a multi-factor authentication process for permitting an access to a service of the first service provider and may apply at least the first input data set to a machine learning model implemented by the processing system to obtain a risk score associated with the telephone number for a subscriber identity module swap of a subscriber identity module, where the machine learning model is trained to generate the risk score associated with the telephone number in accordance with at least the first input data set. The processing system may then perform at least one remedial action associated with the telephone number and the subscriber identity module, in response to the risk score.

Abstract: In one example, a method performed by a processing system including at least one processor includes detecting a need for assisted recall relating to an event in which a user was involved at a time in the past, identifying an instance of egocentric media stored in a library of egocentric media, wherein the instance of egocentric media matches the event in which the user was involved, modifying the instance of egocentric media to assist the user in recalling the event in which the user was involved, and presenting the instance of the egocentric media, as modified, to a user endpoint device of the user.

Abstract: The present strains and methods of the disclosure relate to genetic modifications in filamentous fungi that give rise to variant strains having altered phenotypes, altered morphologies, altered growth characteristics, and the like. More specifically, as presented and described herein, such variant strains of filamentous fungi comprising reduced viscosity phenotypes are well-suited for growth in submerged cultures (e.g., for the large-scale production of enzymes and other proteins or metabolites for commercial applications).

Abstract: A processing system may detect at least one endpoint device of at least one user at a premises having a first plurality of functions, may obtain at least one user profile that indicates a second plurality of functions associated with the at least one user, each function having a maximum available function level, and may obtain a visitor profile associated with the premises defining permitted function levels for one or more functions from among the first plurality that the at least one user is permitted to access. The processing system may then select a set of shared functions and function levels for the set based on the at least one user profile and the visitor profile, the set of shared functions including a first function of the first plurality and a second function of the second plurality, and may activate the set at the premises with the function levels.

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: The described technology is generally directed towards emotion detection and translation for electronic communications. An emotional state of a first communication participant can be detected, e.g., through face recognition, biometric information, and/or communication content analysis. The emotional state can be encoded in metadata that can accompany the communication content. The metadata can be translated into one or more embellishments that represent the emotional state, and the embellishments can be inserted into the communication content. The embellished communication content can then be delivered to a second communication participant.

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: A processing system including at least one processor may obtain a request from a first entity to train a machine learning model, access at least one data feature of at least a second entity, and train the machine learning model on behalf of the first entity in accordance with the at least one data feature of the at least the second entity to generate a trained machine learning model, where the at least one data feature of the at least the second entity is a restricted data feature that is inaccessible to the first entity. The processing system may then provide the trained machine learning model to the first entity.

Abstract: Aspects of the subject disclosure may include, for example, a device that includes a processing system with a processor, and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations such as receiving user input comprising a keyword identifying an object, monitoring a video recording during a generation of the video recording by a camera, wherein the monitoring includes detecting the object being captured by the camera, creating a video clip from the video recording, wherein the video clip comprises a start point and a stop point in the video recording determined by a machine learning algorithm, and sending a notification of the creating of the video clip. Other embodiments are disclosed.

Abstract: The disclosed technology is directed towards presenting a medical practitioner with information that assists the practitioner in communicating with a given patient. Baseline data describing a medical patient is obtained, such as from one or more previous visits. The baseline data can be compared with current data, e.g., sensed by patient biosensors and/or discerned from a current video of the patient during the visit. Historical and/or known healthy data can be used as baseline data. Interaction data representing an interaction (e.g., a conversation during a current visit) between the medical practitioner and the medical patient is determined. Based on the baseline data and the interaction data, during the interaction between the medical practitioner and the medical patient the medical practitioner can be presented with coaching data to assist the medical practitioner in communicating with the patient.