Abstract: System, process and device configurations are provided for detecting user socialization preferences and controlling multiplayer selection. A method can include receiving user voice output during gameplay for a first user, and determining a socialization preference for the first user based on the user voice output. The method may also include updating a user profile for the first user based on the socialization preference, selecting at least one second user, and controlling a gameplay session for the first user and the at least one second user, wherein audio output for the first user is controlled using a the user profile. Socialization preferences detected during gameplay may be used to select other users for multiplayer game sessions. The socialization preferences may also be used to control audio output by way of selection/terminating players from a session, filtering audio output to a user, filtering intensity and/or modifying audio output to a user.

Abstract: There is provided a method for user navigation of virtual environments across a plurality of devices.

Abstract: Methods and systems for tracking a game asset used in a video game includes generating a non-fungible token for the game asset used in the video game. Use of the game asset in the video game is monitored during gameplay to identify a qualifying event occurring in the video game in which the game asset is used. The NFT is updated using metadata associated with the qualifying event. The metadata is used to build legacy of the game asset and to track use of the digital asset in the video game.

Abstract: A process that includes receiving a peer-to-peer connection initiation signal to establish a peer-to-peer connection with a second client computing device. The process further includes determining that a peer-to-peer connection condition is not satisfied such that the first client computing device is unavailable to establish the peer-to-peer connection with the second client computing device and storing the peer-to-peer connection initiation signal in a signal cache associated with the first client computing device.

Abstract: Methods and systems are provided for verifying an input provided at a controller including detecting a finger gesture on a surface of the controller. Responsive to detecting the finger gesture, multi-modal data is collected from a plurality of sensors and components tracking the finger gesture. The multi-modal data is used to generate an ensemble model using machine learning algorithm. The ensemble model is trained in accordance to training rules defined for different finger gestures. An output is identified from the ensemble model for the finger gesture. The output is interpreted to define an input for an interactive application selected for interaction.

Abstract: Ambisonics audio such as may be used for computer simulations such as computer games is improved by using multi-order optimizations that frame an optimization problem that minimizes a cost function across a subset of Ambisonics orders for a chosen Ambisonics order “N”. In a simple form, this cost function minimizes error across all orders (0<=n<=N), and additional weighting is applied to emphasize or de-emphasize particular orders. The cost functions and optimization criteria may be different for binaural and speaker outputs.

Abstract: A map of a person's spatial vision abilities, including areas of low acuity and areas of high acuity, may be generated from medical records or from a calibration phase. During presentation of a computer simulation such as a computer game, the map is provided to a foveated renderer to optimize which areas should be rendered most crisply. Content placement may be optimized to ensure that any critical elements to the game, for instance, any text that needs to be seen or treasures or special pickups that need to be seen clearly can be moved into regions of the player's field of view that the person has higher acuity in.

Abstract: A method for gaming. The method includes receiving an audio command used for controlling game play of a video game for a player, wherein the audio command originates from the player. The method includes providing the audio command to an artificial intelligence (AI) model trained to normalize one or more sounds of the player to one or more expected sounds of the video game. The method includes normalizing the audio command using the AI model to control the game play.

Abstract: [Problem] To provide a system for notifying a user of whether contents displayed on terminals between a plurality of users are identical and a system with which, when an input is made on one terminal in one answer section of a questionnaire, information regarding a question item corresponding to the above-described answer section is displayed on another terminal.[Solution] A system 1 is connected to a first and a second terminals 3, 5. When an object displayed on a screen of the first terminal 3 is a first object and an object corresponding to the first object displayed on a screen of the second terminal 5 is a second object, the system 1 causes one or both of the screens of the first and the second terminals 3,5 to display: one or both of an identicalness sign 11 as a display regarding that the first object and the second object are identical, and a discrepancy sign 13 as a display regarding that the first object and the second object are different.

Abstract: A method for cloud gaming. The method including receiving one or more encoded slices of a video frame at a client, wherein the video frame was generated at a server while executing a video game, and encoded by an encoder at the server into the one or more encoded slices. The method including decoding a first encoded slice at a decoder of the client before fully receiving the one or more encoded slices of the video frame.

Abstract: System, process and device configurations are provided for customized audio spectrum generation of gaming music. A method includes detecting at least one audio spectrum input for gaming music and updating a parameter for dynamic music generation based on the at least one audio spectrum input. The method also includes generating gaming music for the gaming system dynamically to include at least one musical motif determined based on the parameter, and output of gaming music. Frequency or tonalities of dynamic generated music that interfere with gameplay sound effects may be adjusted to improve gameplay. In some cases volume of sound elements may be shifted in volume or pitch to indicate presence of gaming elements or opportunities during gameplay. Similarly, frequency ranges may be customized to avoid one or more frequencies, such as a frequency range identified as being associated with hearing loss or with causing a disturbance, such as vibration.

Abstract: A method is provided, including: executing an interactive application, wherein executing the interactive application includes rendering video and audio of a virtual environment, the video being presented on a display viewed by a user, and the audio being presented through headphones worn by the user, and wherein executing the interactive application is responsive to user input generated from interactivity by the user with the presented video and audio; receiving environmental input from at least one sensor that senses a local environment in which the user is disposed; analyzing the environmental input to identify activity occurring in the local environment; responsive to identifying the activity, then adjusting a level of active noise cancellation applied by the headphones.

Abstract: A user's environment is scanned and an augmented reality game such as a treasure is set up based on the scan. The user needs to use a phone to uncover clues in a game environment that is customized to user's own personal real-world environment, which is discovered using SLAM or GPS so that a map of furniture can be built. The game hides a virtual object behind a virtualized image of the real-world furniture. Machine learning may be used to train a model with common objects and where interesting hidden spaces could exist. Given the user's inputted data, real world physical room data and objects are used to determine a likely location to hide a virtual object.

Abstract: The present invention concern systems and methods for maintaining diversity in AI and ML environments through the cooperation of various AI and ML systems such that they optimize for social and cultural diversity. The examination of behavior, infrastructure, and governance, mimicking of genetic biodiversity, and application of the foregoing to machine reasoning mitigates the tendency of systems to find optimized or single best solutions. AI and ML environments may thus derive multiple diverse solutions that contribute to richer ecosystems in which human beings may function and thrive.

Abstract: A data processing apparatus includes receiving circuitry to receive user data indicative of a plurality of content items accessed by a user within a set time interval, access circuitry to obtain a plurality of sub-items associated with one or more of the plurality of content items from one or more content sources in dependence on the user data, the plurality of sub-items each comprising at least one of image content, audio content, and text content, summary circuitry to receive a set of sub-items comprising at least some of the plurality of sub-items and generate a summary content in dependence on the set of sub-items, the summary circuitry comprising one or more machine learning models trained to generate the summary content, and storage circuitry to store the summary content.

Abstract: A machine learning model is used to receive a recorded video game for presentation on a spectator computer and to derive from the video identifications of controller operations during play of the game that resulted in the recorded video game. Indications of identified controller operations may be presented with the recorded video game to assist a viewer in learning how to play the game.

Abstract: Enablement of a voice channel being established between an IoT device and a controller through the use of a voice-line service system.

Abstract: A method including rendering graphics for an application using graphics processing units (GPUs). The method including dividing responsibility for processing pieces of geometry of an image frame during an analysis pre-pass phase of rendering between the plurality of GPUs, wherein each of the pieces of geometry is assigned to a corresponding GPU. The method including determining in the analysis pre-pass phase overlap of each of the pieces of geometry with each screen regions. The method including generating information at the GPUs regarding the pieces of geometry and their relations to the screen regions based on the overlap of each of the pieces of geometry with each of the screen regions. The method including assigning the screen regions to the GPUs based on the information for purposes of rendering the pieces of geometry during a subsequent phase of rendering.