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: A method of video editing includes: receiving data identifying a videogame, and data representative of one or more in-game events, analysing one or more aspects of the in-game events to generate at least a first statistical model for identifying statistically significant in-game events, identifying whether a current in-game event is statistically significant based on a generated statistical model and if so, extracting video of the event from a video buffer, and evaluating whether to include the extracted video in a themed highlight reel and if so, including the extracted video in the themed highlight reel.

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

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: There is provided a method of guiding a user within a virtual environment in a current session. The method includes receiving data relating to user interactions with the virtual environment of a plurality of other users in a plurality of previous sessions, where a predetermined event occurred in user interactions of each of the other users; determining a representative user position, in the virtual environment, of the other users during the previous sessions; and generating a visual indicator, within the virtual environment in the current session, of the representative user position to guide the user within the virtual environment in the current session.

Abstract: A method for providing a user interface on a controller having a plurality of input elements. The method includes the step of loading game data to initiate interactive gameplay; and sending control signals to the controller based on the interactive gameplay to provide a lighting effect on a light emitting element associated with one of the plurality of input elements, wherein the lighting effect corresponds to the associated input element.

Abstract: A content generation system operable to generate one or more actions to be performed by an agent, the system comprising an input receiving unit operable to receive two or more actions for the agent, a model generation unit operable to input the actions to a machine learning model so as to generate a trained machine learning model, and an action generation unit operable to generate an action to be performed by the agent, wherein the generation comprises the selection of a latent space interpolation state associated with the trained machine learning model.

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: A method of video editing includes: receiving data identifying a videogame, and data representative of one or more in-game events, analysing one or more aspects of the in-game events to generate at least a first statistical model for identifying statistically significant in-game events, identifying whether a current in-game event is statistically significant based on a generated statistical model and if so, extracting video of the event from a video buffer, and evaluating whether to include the extracted video in a themed highlight reel and if so, including the extracted video in the themed highlight reel.

Abstract: A system for modifying interactions between a user and displayed content, the system comprising an input detection unit operable to detect one or more inputs from a peripheral device operated by a user, an input characterisation unit operable to characterise the detected one or more inputs, and a content modification unit operable to modify one or more aspects of the user’s interaction in dependence upon the characterisation of the detected inputs.

Abstract: A content generation system operable to generate one or more actions to be performed by an agent, the system comprising an input receiving unit operable to receive information defining an input action, the input action being an action associated with the agent, a constraint identifying unit operable to identify one or more constraints associated with the input action, and an action generation unit operable to generate, using a machine learning model, one or more actions in dependence upon the information defining the input action and the identified constraints wherein the one or more actions are variations of the defined action.

Abstract: A content generation system operable to generate one or more actions to be performed by an agent, the system comprising an input receiving unit operable to receive two or more actions for the agent, a model generation unit operable to input the actions to a machine learning model so as to generate a trained machine learning model, and an action generation unit operable to generate an action to be performed by the agent, wherein the generation comprises the selection of a latent space interpolation state associated with the trained machine learning model.

Abstract: An integrated circuit capacitor comprising a high permittivity dielectric and a method of forming the same are disclosed herein. In one embodiment, this capacitor may be used as a DRAM storage cell. For example, a DRAM storage node electrode 22 may be formed of polysilicon. An ultrathin oxynitride passivation layer 25 (e.g. less than 1 nm) is formed on this electrode by exposure of the substrate to NO. A tantalum pentoxide layer 24 is formed over layer 25, followed by a cell plate 26. Passivation layer 25 allows electrode 22 to resist oxidation during deposition of layer 25, thus preventing formation of an interfacial oxide layer. A passivation layer formed by this method may typically be deposited with shorter exposure times and lower temperatures than nitride passivation layers.

Abstract: An integrated circuit capacitor comprising a high permittivity dielectric and a method of forming the same are disclosed herein. In one embodiment, this capacitor may be used as a DRAM storage cell. For example, a DRAM storage node electrode 22 may be formed of polysilicon. An ultrathin oxynitride passivation layer 25 (e.g. less than 1 nm) is formed on this electrode by exposure of the substrate to NO. A tantalum pentoxide layer 24 is formed over layer 25, followed by a cell plate 26. Passivation layer 25 allows electrode 22 to resist oxidation during deposition of layer 25, thus preventing formation of an interfacial oxide layer. A passivation layer formed by this method may typically be deposited with shorter exposure times and lower temperatures than nitride passivation layers.

Abstract: Disclosed is a pressure apparatus for use in analyzing the leak integrity of a fluid dispensing system such as a system used to dispense gasoline from an underground storage tank into a motor vehicle. The apparatus includes at least one pressure device (e.g., a pressure gauge and/or a quick-connect fitting) having its own enclosure. The apparatus has an additional containment structure substantially surrounding the device enclosure so that inadvertent fluid leaks are captured by the structure. Also disclosed is a fluid dispensing system incorporating one or more apparatus. The apparatus is particularly useful for carrying out periodic inspections of the system to help assure that it is substantially leak-free.