Abstract: An apparatus includes communication circuitry and processing circuitry. The communication circuitry is configured to receive, from a requesting device, a stream-recommendation request associated with a player profile, and the processing circuitry responsive to the stream-recommendation request to select, from a list of available game streams, one or more available game streams. The processing circuitry is configured to generate a stream recommendation indicating the selected one or more available game streams. The processing circuitry is configured to select the one or more available game streams in dependence on the player profile.

Abstract: A computer-implemented method of generating a multi-frame super resolution, MFSR, graphics output for a video gaming system during gameplay, comprising: using a trained artificial neural network, ANN, comprising a plurality of weights and activations to perform multi-frame super resolution, MFSR, based on input graphics data from a game deployed on a video gaming system, to generate a MFSR graphics output; monitoring usage of a processing unit of the video gaming system during gameplay; and varying a precision of the weights and/or activations used in the performing MFSR, based on the monitored usage of the processing unit. A corresponding video gaming system and computer program product is also provided.

Abstract: Techniques of image synthesis using a neural radiance field (NeRF) includes generating a deformation model of movement experienced by a subject in a non-rigidly deforming scene. For example, when an image synthesis system uses NeRFs, the system takes as input multiple poses of subjects for training data. In contrast to conventional NeRFs, the technical solution first expresses the positions of the subjects from various perspectives in an observation frame. The technical solution then involves deriving a deformation model, i.e., a mapping between the observation frame and a canonical frame in which the subject's movements are taken into account. This mapping is accomplished using latent deformation codes for each pose that are determined using a multilayer perceptron (MLP). A NeRF is then derived from positions and casted ray directions in the canonical frame using another MLP. New poses for the subject may then be derived using the NeRF.

Abstract: A data processing apparatus includes: an input unit configured to receive data corresponding to at least part of a mesh, where the at least part of the mesh includes a plurality of vertices, where each vertex corresponds to a location within a virtual space, and a plurality of polygons, where each polygon includes a perimeter comprising three or more lines, where each of the three or more lines intersects two of the plurality of vertices; a generating unit configured to, in a first phase, generate, based on the received data, two or more seed points, where each seed point corresponds to a location within the virtual space, and in a second phase, where the second phase is different from the first phase, generate two or more meshlets, where each meshlet includes a subset of the at least part of the mesh, where each meshlet is generated in dependence upon the location of a respective one of the generated seed points; and an output unit configured to output data corresponding to one or more of the generated meshl

Abstract: The present disclosure relates to a computer-implemented method for completing an image, the method comprising the steps of dividing data of an image to be completed into a plurality of image portions. The method entails applying a first filling process to fill a first image portion comprising a first hole, the first hole associated with a first quantity and/or a first quality; and applying a second filling process to fill a second image portion comprising a second hole, the second hole associated with a second quantity different to the first quantity and/or a second quality different to the first quality, the second process being different to first process. The method then includes combining the filled first and second image portions to complete the image.

Abstract: Systems and methods are described for receiving a plurality of input images, a plurality of depth images, and a plurality of view parameters for generating a virtual view of a target subject. The systems and methods may generate a plurality of warped images based on the plurality of input images, the plurality of view parameters, and at least one of the plurality of depth images. In response to providing the plurality of depth images, the plurality of view parameters, and the plurality of warped images to a neural network, the systems and methods may receive, from the neural network, blending weights for assigning color to pixels of the virtual view of the target subject and may generate, based on the blending weights and the virtual view, a synthesized image according to the view parameters.

Abstract: The invention includes an algorithmic method for dynamically computing complex relationships among objects of an underlying functional system. The invention includes a method to algorithmically determine a set of functional locations in n-dimensional functional space of a set of elements of a functional system by electronically representing a set of data entities in a database system, the database system comprising a logical data model for structuring data sets from which functional information can be derived, using the logical data model to associate a set of characteristics with a reference point in the functional information system, selecting a functional positioning algorithm, and wherein the functional positioning algorithm executes a set of steps that takes as input a set of characteristics and returns as output a set of locations in n-dimensional functional space.

Abstract: A stratified or segmented composite data structure can be formed by selecting a group of data entities, stratifying or segmenting them according to attributes, and assigning relative weights to the components based on their stratified or segmented positions. The attributes are selected from a universe of possible values. Further positive and negative biases can be applied at any arbitrary point or position, including to individual data entities, groups of arbitrarily selected data entities, or arbitrary positions.

Abstract: Various implementations include a limbed robotic module. The module includes a frame, a first and second motor, a yoke, and a leg. The first motor is rigidly coupled to the frame and has a rotatable first shaft. The second motor is rigidly coupled to the frame and has a rotatable second shaft. The yoke is rigidly coupled to the first shaft such that rotation of the first shaft rotates the yoke relative to the frame. The yoke has a shoulder extending radially outwardly from the first shaft. The leg has a first end, a second end, and a hinge portion disposed between the first and second ends. The hinge portion is hingedly coupled to the shoulder of the yoke. The first end is coupled to the second shaft such that rotation of the second shaft rotates the second end relative to the yoke.

Abstract: The invention includes an algorithmic method for dynamically computing complex relationships among objects of an underlying functional system. The invention includes a method to algorithmically determine a set of functional locations in n-dimensional functional space of a set of elements of a functional system by electronically representing a set of data entities in a database system, the database system comprising a logical data model for structuring data sets from which functional information can be derived, using the logical data model to associate a set of characteristics with a reference point in the functional information system, selecting a functional positioning algorithm, and wherein the functional positioning algorithm executes a set of steps that takes as input a set of characteristics and returns as output a set of locations in n-dimensional functional space.

Abstract: A data processing apparatus comprises image processing circuitry to generate images for display comprising a virtual body comprising one or more virtual limbs, image analysis circuitry to generate virtual body configuration information indicative of one or more first sets of joint positions for the virtual body in one or more of the images, and a machine learning model to receive the virtual body configuration information and trained to map at least one first set of joint positions for the virtual body to a second set of joint positions for a robotic device comprising a plurality of joints, wherein the processing device is configured to output control information in dependence on the second set of joint positions for controlling one or more actuators of the robotic device.

Abstract: A stratified or segmented composite data structure can be formed by selecting a group of data entities, stratifying or segmenting them according to attributes, and assigning relative weights to the components based on their stratified or segmented positions. The attributes are selected from a universe of possible values. Further positive and negative biases can be applied at any arbitrary point or position, including to individual data entities, groups of arbitrarily selected data entities, or arbitrary positions.

Abstract: An apparatus includes communication circuitry and processing circuitry. The communication circuitry is configured to receive, from a requesting device, a stream-recommendation request associated with a player profile, and the processing circuitry responsive to the stream-recommendation request to select, from a list of available game streams, one or more available game streams. The processing circuitry is configured to generate a stream recommendation indicating the selected one or more available game streams. The processing circuitry is configured to select the one or more available game streams in dependence on the player profile.

Abstract: Data processing apparatus comprises a control device having one or more user-operable controls; a pressure detector to detect user pressure applied while operating the one or more user-operable controls; and a processor to initiate a data processing action in response to a detection of user pressure of at least a threshold amount greater than that required to operate the one or more user controls.

Abstract: Disclosed herein are engineered cells and/or hypoimmunogenic cells including engineered cells and/or hypoimmunogenic stem cells, engineered cells and/or hypoimmunogenic cells differentiated therefrom, and engineered cells and/or hypoimmunogenic CAR-T cells (primary or differentiated from engineered and/or hypoimmunogenic stem cells) and related methods of their use and generation comprising reduced expression of one or more Y chromosome genes and reduced expression of MHC I and/or MHC II human leukocyte antigen molecules and overexpression of CD47. Provided herein are cells further exhibiting reduced expression of T-cell receptors.

Abstract: Systems and methods are described for utilizing an image processing system with at least one processing device to perform operations including receiving a plurality of input images of a user, generating a three-dimensional mesh proxy based on a first set of features extracted from the plurality of input images and a second set of features extracted from the plurality of input images. The method may further include generating a neural texture based on a three-dimensional mesh proxy and the plurality of input images, generating a representation of the user including at least a neural texture, and sampling at least one portion of the neural texture from the three-dimensional mesh proxy. In response to providing the at least one sampled portion to a neural renderer, the method may include receiving, from the neural renderer, a synthesized image of the user that is previously not captured by the image processing system.

Abstract: A method including capturing a first image of a real-world scene by a first camera sensitive to a first spectrum of light, the first camera having a first light source, capturing a second image of the real-world scene by a second camera sensitive to a second spectrum of light, the second camera having a second light source, identifying at least one feature in the first image, identifying, using a machine learning (ML) model, at least one feature in the second image that matches the at least one feature identified in the first image, mapping pixels in the first image and the second image to rays in a three-dimensional (3D) space based on the matched at least one feature, and calibrating the first camera and the second camera based on the mapping.

Abstract: The present disclosure relates to a vehicle rack configured to be mounted to the rear of a vehicle. The vehicle rack includes a plurality of receptacles configured to house recreational items, such as skis or snowboards. The plurality of receptacles are coupled to the vehicle by a hitch arm. The hitch arm and plurality of receptacles form a pivot point so that the plurality of receptacles and be pivoted with respect to the hitch arm and the vehicle.

Abstract: Techniques of image synthesis using a neural radiance field (NeRF) includes generating a deformation model of movement experienced by a subject in a non-rigidly deforming scene. For example, when an image synthesis system uses NeRFs, the system takes as input multiple poses of subjects for training data. In contrast to conventional NeRFs, the technical solution first expresses the positions of the subjects from various perspectives in an observation frame. The technical solution then involves deriving a deformation model, i.e., a mapping between the observation frame and a canonical frame in which the subject's movements are taken into account. This mapping is accomplished using latent deformation codes for each pose that are determined using a multilayer perceptron (MLP). A NeRF is then derived from positions and casted ray directions in the canonical frame using another MLP. New poses for the subject may then be derived using the NeRF.

Abstract: A data processing apparatus includes: an input unit configured to receive data corresponding to at least part of a mesh, where the at least part of the mesh includes a plurality of vertices, where each vertex corresponds to a location within a virtual space, and a plurality of polygons, where each polygon includes a perimeter comprising three or more lines, where each of the three or more lines intersects two of the plurality of vertices; a generating unit configured to, in a first phase, generate, based on the received data, two or more seed points, where each seed point corresponds to a location within the virtual space, and in a second phase, where the second phase is different from the first phase, generate two or more meshlets, where each meshlet includes a subset of the at least part of the mesh, where each meshlet is generated in dependence upon the location of a respective one of the generated seed points; and an output unit configured to output data corresponding to one or more of the generated meshl