Abstract: A method for producing conductive materials from Nb-doped TiO2-particles, in which Nb-doped TiO2-particles are pressed to form bodies and the bodies are treated in an oxygen-containing atmosphere and at a reducing atmosphere.

Abstract: A neural network system is proposed. The neural network can be trained by model-based reinforcement learning to select actions to be performed by an agent interacting with an environment, to perform a task in an attempt to achieve a specified result. The system may comprise at least one imagination core which receives a current observation characterizing a current state of the environment, and optionally historical observations, and which includes a model of the environment. The imagination core may be configured to output trajectory data in response to the current observation, and/or historical observations. The trajectory data comprising a sequence of future features of the environment imagined by the imagination core. The system may also include a rollout encoder to encode the features, and an output stage to receive data derived from the rollout embedding and to output action policy data for identifying an action based on the current observation.

Abstract: A process for producing a structured surface, in which a composition comprising nanowires is applied to a surface and structured, especially by partial displacement of the composition. When the solvent is removed, the nanowires aggregate to form structures. These may be transparent and also conductive.

Abstract: When a renderer of a graphics processor is to perform a graphics rendering operation that uses one or more texture layers in accordance with contribution control data that controls the contribution that each texture layer makes to the rendering operation for a group of fragments, the renderer determines contribution control data for each fragment in the group, and based on the determined contribution control data, either: fetches and uses the texture data values for a texture layer for each fragment in the group from memory, or does not fetch texture data values for a texture layer for each fragment in the group from memory and instead uses a dummy value for the texture layer for each fragment in the group for the graphics rendering operation.

Abstract: Provided is a system and method for determining an appropriate dosage of a product. The method includes, receiving from a User a User Request for a Dosage, the User Request including at least a User Reason and a User Location; accessing a Database of Products, each Product having at least one Constituent, at least one Established Reason, a Dosage for each Established Reason, and Provider Location; querying the Database of Products with the User Request to determine at least a first subset of Products having the at least one Established Reason correlating to the User Reason; and providing the User with the first subset of Products arranged by proximity of the Provider Location to the User Location, the first subset of Products further including the Dosage for each Product in the first subset of Products. An associated system is also provided.

Abstract: In one aspect, space in a tile-unaware cache associated with an address aperture may be managed in different ways depending on whether a processing component initiating an access request through the aperture to a tile-based memory is tile-unaware or tile-aware. Upon a full-tile read by a tile-aware process, data may be evicted from the cache, or space may not be allocated. Upon a full-tile write by a tile-aware process, data may be evicted from the cache. In another aspect, a tile-unaware process may be supplemented with tile-aware features by generating a full tile of addresses in response to a partial-tile access. Upon a partial-tile read by the tile-unaware process, the generated addresses may be used to pre-fetch data. Upon a partial-tile write, the addresses may be used to evict data. Upon a bit block transfer, the addresses may be used in dividing the bit block transfer into units of tiles.

Abstract: A graph neural network system implementing a learnable physics engine for understanding and controlling a physical system. The physical system is considered to be composed of bodies coupled by joints and is represented by static and dynamic graphs. A graph processing neural network processes an input graph e.g. the static and dynamic graphs, to provide an output graph, e.g. a predicted dynamic graph. The graph processing neural network is differentiable and may be used for control and/or reinforcement learning. The trained graph neural network system can be applied to physical systems with similar but new graph structures (zero-shot learning).

Abstract: The invention relates to methods, uses, and compositions (e.g., articles of manufacture and kits) for preventing or treating graft versus host disease (GVHD) (e.g., acute or chronic GVHD, including corticosteroid-refractory acute GVHD).

Abstract: A system comprising a vaporizing device and a central server is described. The vaporizing device includes a housing and a cartridge, received within the housing, the cartridge including a predefined quantity of concentrate and an identification code associated with the concentrate and uniquely identifying the cartridge. The vaporizing device further includes a control unit configured to read the identification code. The vaporizing device further includes a communication unit configured to transmit the identification code to a computing device of a user. The central server includes a database. The central server is configured to receive the identification code from the computing device and retrieve concentrate information corresponding to the identification code from the database. The central server is configured to transmit the concentrate information to the computing device for displaying to the user.

Abstract: Provided is a system and method for multi-modal dosing of a product. The system provides a control base for coupling to one of a plurality of different cartridges containing product, at least two cartridges having different modalities of delivery—the coupled control base and selected cartridge providing a dosing device. Each cartridge has at least a unique identifier, which may be read by the control base and correlated through a database to confirm that the user is authorized to use the cartridge, and use of the cartridge for a dose of product will not conflict with other products received by the user and known to the system. Cartridges that are not coupled to the control base are non-functional and cannot dispense product as intended with the system. An associated method of use is also provided.

Abstract: Provided is a system and method for multi-modal dosing of a product. The system provides a control base for coupling to one of a plurality of different cartridges containing product, at least two cartridges having different modalities of delivery—the coupled control base and selected cartridge providing a dosing device. Each cartridge has at least a unique identifier, which may be read by the control base and correlated through a database to confirm that the user is authorized to use the cartridge, and use of the cartridge for a dose of product will not conflict with other products received by the user and known to the system. Cartridges that are not coupled to the control base are non-functional and cannot dispense product as intended with the system. An associated method of use is also provided.

Abstract: A system implemented by one or more computers comprises a visual encoder component configured to receive as input data representing a sequence of image frames, in particular representing objects in a scene of the sequence, and to output a sequence of corresponding state codes, each state code comprising vectors, one for each of the objects. Each vector represents a respective position and velocity of its corresponding object. The system also comprises a dynamic predictor component configured to take as input a sequence of state codes, for example from the visual encoder, and predict a state code for a next unobserved frame. The system further comprises a state decoder component configured to convert the predicted state code, to a state, the state comprising a respective position and velocity vector for each object in the scene. This state may represent a predicted position and velocity vector for each of the objects.

Abstract: When a device is determined to be capable of being of being paired with each of a plurality of appliances, a one of the plurality of appliances is automatically selected for an attempted pairing with the device. The one of the plurality of appliances is selected using priority information that has been associated with each of the plurality of appliances. Once the one of the plurality of appliances has been selected; the device is caused to automatically attempt to pair with the selected one of the plurality of appliances.

Abstract: A graphics processor performs graphics processing in respect of a region of a render output. The graphics processing comprises obtaining a scaling factor corresponding to a desired resolution for the region. The graphics processing further comprises, in accordance with the desired resolution, obtaining scaled graphics geometry to be rendered for the region and selecting a subregion of the region to be rendered in respect of the region. The selected subregion is then rendered using the scaled graphics geometry, thereby providing a subregion of data elements rendered in accordance with the desired resolution. The graphics processor can provide efficient and flexible graphics processing when performing variable resolution rendering.

Abstract: A neural network system is proposed to select actions to be performed by an agent interacting with an environment to perform a task in an attempt to achieve a specified result. The system may include a controller to receive state data and context data, and to output action data. The system may also include an imagination module to receive the state and action data, and to output consequent state data. The system may also include a manager to receive the state data and the context data, and to output route data which defines whether the system is to execute an action or to imagine. The system may also include a memory to store the context data.

Abstract: In an example, a system may modify an object stored in an object store for storing objects to include augmented metadata. The system may encode a signature of the modified object such that the signature is identical to a signature of the object prior to being modified to include the augmented metadata.

Abstract: The present disclosure relates to extraction of probe motion estimates from acquired ultrasound image frames. Such image-extracted probe motion data can be used alone or in combination with sensed motion data, such as acquired using an inertial measurement unit (IMU). In certain implementations, the image-extracted probe motion can be used to provide or maintain anatomic context in a sequence of images or to provide guidance to a user.

Abstract: A method of treating a vessel in a human or animal body, including the steps of: positioning an implantable device against a portion of tubular or sac wall of the vessel, whereby a load applied to the vessel is borne by the vessel wall and also by the device to transfer energy to an energy storage means, the vessel being assisted when the energy storage means returns the stored energy to the device. Further disclosed is a treatment or assistance device for operating in or with a tubular or sac wall of a vessel in a human or animal body, the device including a changeable volume portion which is adapted to interact with the vessel to modify the vessel's volume; and an energy storage means functioning with the changeable volume portion whereby a decrease in the volume of said changeable volume portion creates an energy charge in the energy storage means, the energy charge being able to be subsequently released to cause the changeable volume portion to increase in volume.

Abstract: Systems and apparatus related to adaptive support garments including adaptive support structures, lacing systems, and an adaptive engine are discussed. In an example, an adaptive support garment can include a textile-based support structure, an adaptive support structure and an adaptive engine is described. The textile-based support structure is configured to support a portion of anatomy of a wearer. The adaptive support structure is integrated into the textile-based support structure and configured to adjust a portion of the textile-based support structure. The adaptive engine is coupled to the adaptive support structure to activate adjustment of the portion of the textile-based support structure.