Vehicle manipulation is performed using crowdsourced data. A camera within a vehicle is used to collect cognitive state data, including facial data, on a plurality of occupants in a plurality of vehicles. A first computing device is used to learn a plurality of cognitive state profiles for the plurality of occupants, based on the cognitive state data. The cognitive state profiles include information on an absolute time or a trip duration time. Voice data is collected and is used to augment the cognitive state data. A second computing device is used to capture further cognitive state data on an individual occupant in an individual vehicle. A third computing device is used to compare the further cognitive state data with the cognitive state profiles that were learned. The individual vehicle is manipulated based on the comparing of the further cognitive state data.

An expression generation method for an animation object is provided. In the method, a first facial expression of a target animation object is acquired by a first animation application from a facial expression set generated by a second animation application. The facial expression set includes different facial expressions of the target animation object. A display parameter of the acquired first facial expression in the first animation application is adjusted based on a first user input to obtain a second facial expression of the target animation object. A target animation of the target animation object that includes an image frame of the second facial expression is generated.

Apparatuses, systems, and techniques are presented to reduce an amount of data to be transmitted for media content. In at least one embodiment, one or more neural networks are used to generate video and audio information corresponding to one or more people based, at least in part, on at least one image and voice information corresponding to the one or more people.

A system for monitoring and improving social agent interaction quality includes a computing platform having processing hardware and a system memory storing a software code. The processing hardware is configured to execute the software code to receive, from a social agent, interaction data describing an interaction of the social agent with a user, and to perform an assessment of the interaction, using the interaction data, as one of successful or including a flaw. When the assessment indicates that the interaction includes the flaw, the processing hardware is further configured to execute the software code to identify an interaction strategy for correcting the flaw, and to deliver, to the social agent, one or both of the assessment and the interaction strategy to correct the flaw in the interaction.

A media capture device (MCD) that provides a multi-sensor, free flight camera platform with advanced learning technology to replicate the desires and skills of the purchaser/owner is provided. Advanced algorithms may uniquely enable many functions for autonomous and revolutionary photography. The device may learn about the user, the environment, and/or how to optimize a photographic experience so that compelling events may be captured and composed into efficient and emotional sharing. The device may capture better photos and videos as perceived by one's social circle of friends, and/or may greatly simplify the process of using a camera to the ultimate convenience of full autonomous operation.

An AI based moderator system for an electronic conference. The moderator scores users based on ratings and diversity, and attempts to keep a high rating person talking while maintaining diversity.

The disclosure provides methods and systems for automatically generating an animatable object, such as a 3D model. In particular, the present technology provides fast, easy, and automatic animatable solutions based on unique facial characteristics of user input. Various embodiments of the present technology include receiving user input, such as a two-dimensional image or three-dimensional scan of a user's face, and automatically detecting one or more features. The methods and systems may further include deforming a template geometry and a template control structure based on the one or more detected features to automatically generate a custom geometry and custom control structure, respectively. A texture of the received user input may also be transferred to the custom geometry. The animatable object therefore includes the custom geometry, the transferred texture, and the custom control structure, which follow a morphology of the face.

An electronic device, computer program product, and method prioritizes communication between participants in a communication session. A controller configures the electronic device to identifying participants, each respectively using a second electronic device to participate in the communication session. The controller associates a priority rank for each of the participants. The controller monitors for an indication from each of the second electronic devices that a corresponding participant among the participants is attempting to speak to the other participants during the communication session. In response to receiving two or more indications, the controller compares the respective priority ranks of the participants corresponding to the two or more indications. The controller selects the audio stream received from the second electronic device of the particular participant having a highest priority. The controller presents the audio stream to the other participants.

An apparatus for providing customized advertisements includes a database that stores a plurality of electronic advertisements, receives biometric information of a client from at least one biometric device of the client, and receives receptivity information of the client responding to the plurality of electronic advertisements, as well as a processor that accesses the database, and maps the biometric information and the receptivity information and analyzes the mapped information to generate customized marketing data. The processor also calculates a receptivity probability for each of the plurality of electronic advertisements based on the customized marketing data by using current biometric state of the client, selects an electronic advertisement from the plurality of electronic advertisements based on the calculated receptivity probabilities, and outputs to the client the selected electronic advertisement.

An example system includes a processor to train an artificial intelligence (AI) model on a training set of images on a client device associated with a particular user. Images in the training set of images are selected using face recognition from a digital camera roll on the client device based on a set of faces chosen by the particular user of the client device. All of images in the training set of images include a detected face from the set of chosen faces. The processor is to filter a group message received from a second device based on the trained AI model.