Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for controlling an agent interacting with an environment. In one aspect, a method comprises: receiving one or more observations of an environment; receiving an input text sequence that describes a task to be performed by a robot in the environment; generating an encoded representation of the input text sequence in an embedding space; generating a corresponding encoded representation of each of the one or more observations in the embedding space; generating a sequence of input tokens that comprises the encoded representation of the input text sequence and the corresponding encoded representation of each observation; processing the sequence of input tokens using a language model neural network to generate an output text sequence that comprises high-level natural language instructions; and determining, from the high-level natural language instructions, one or more actions to be performed by the robot.

Abstract: An elongate stimulation assembly of an implantable stimulation device, including a first portion including a plurality of electrodes, lead wires extending from the first portion in electrical communication with the plurality of electrodes, the lead wires being located in an elongate lead body and a cage component extending in an elongate manner at least partially along with the lead wires, wherein the lead wires extend within the cage component.

Abstract: A device, including an insertion tool including an insertion guide that is flexible in a direction lying in at least a plane lying on a longitudinal axis thereof, the insertion guide having a slit and/or a gap extending in the longitudinal direction, the plane extending through the slit and/or gap, wherein the guide configured to maintain a pre-curved electrode assembly in a substantially straight configuration while preventing the electrode assembly from twisting in response to stresses induced by bias forces which urge the assembly to return to its pre-curved configuration, when the insertion guide is flexed in the plane.

Abstract: A method, including providing an electrical current to an electrode contact located in a cochlea of a human to evoke a hearing percept, and managing flow of perilymph located inside the cochlea locally to the electrode contact while the current is provided to the electrode contact. In an exemplary embodiment, the management is executed using a seal.

Abstract: Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.

Abstract: A method (2800) of selectively leaching one or more manganese-containing phases from a mixed-phase battery electrode material comprises treating (2802) the mixed-phase battery electrode material with a solution of an acid, the acid acting as both a leaching agent and a reducing agent, so as to form a manganese-containing leachate whilst leaving at least one phase of the battery electrode material unleached, wherein the acid has a pKa greater than or equal to ?2. Either or both of the leachate and the remaining electrode material may then be regenerated (2806, 2808).

Abstract: A computer implemented method for predicting the behaviour of a population is described. The method comprising: analysing qualitative data for a transactional event encountered by at least one member of the population, to determine a topic of the qualitative data; identifying one or more emotions for the at least one member of the population associated with the qualitative data; determining a transactional event outcome for the identified emotion and associated qualitative data; assigning a score for the at least one member of the population; repeating the above steps for a plurality of events for the at least one member of the population to provide a population database; updating the score as the steps are repeated; and storing a score history and updated score in the population database; and analysing the population database and providing an output to predict the behaviour of a member of the population for new qualitative data.

Abstract: A system for visually maintaining a predetermined minimum approach distance between load handling equipment and energized electrical equipment includes at least two elongate electrically insulating members that have lengths that correspond to the predetermined minimum approach distance that are mounted to at least a distal end of the load handling equipment so that they extend orthogonally outwardly from the distal end by substantially the predetermined minimum approach distance. One of the insulating members is rotatably mounted using a counterweight so as to be vertical, independent of the orientation of the load handling equipment. In use, when the distal end is in the vicinity of the energized electrical equipment, the insulating members provide visual indication that the predetermined minimum approach is being maintained and is not being encroached. A corresponding method is also described.

Abstract: A method, including providing an electrical current to an electrode contact located in a cochlea of a human to evoke a hearing percept, and managing flow of perilymph located inside the cochlea locally to the electrode contact while the current is provided to the electrode contact. In an exemplary embodiment, the management is executed using a seal.

Abstract: Provided are systems and methods that invert a trained NeRF model, which stores the structure of a scene or object, to estimate the 6D pose from an image taken with a novel view. 6D pose estimation has a wide range of applications, including visual localization and object pose estimation for robot manipulation.

Abstract: Systems and methods for probabilistic semantic sensing in a sensory network are disclosed. The system receives raw sensor data from a plurality of sensors and generates semantic data including sensed events. The system correlates the semantic data based on classifiers to generate aggregations of semantic data. Further, the system analyzes the aggregations of semantic data with a probabilistic engine to produce a corresponding plurality of derived events each of which includes a derived probability. The system generates a first derived event, including a first derived probability, that is generated based on a plurality of probabilities that respectively represent a confidence of an associated semantic datum to enable at least one application to perform a service based on the plurality of derived events.

Abstract: This invention relates to compositions for use in the treatment of diabetes, for example type-2 diabetes; obesity; and/or metabolic syndrome. Specifically, the invention relates to a composition for use in the treatment of diabetes, the composition comprising at least one of diindolylmethane; indole-3-carbinol; embelin; [6]-gingerol; and [6]-shogaol, or combinations each thereof. Also disclosed is use in the treatment of obesity and use in the treatment of metabolic syndrome.

Abstract: Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.

Abstract: Navigation and reward techniques involving physical goods and services are described. In one example, digital content is configured to aid navigation of a user between different physical goods or services. This navigation includes user specified good or services as well as recommended goods or services that are not specified by the user. In another example, digital content is provided as part of a reward system. In return for permitting access to user data, the user is provided with rewards that are based on this monitored interaction. In this way, an owner of the store may gain detailed knowledge which may be used to increase likelihood of offering goods or services of interest to the user. In return, the user is provided with rewards to permit access to this detailed knowledge.

Abstract: Navigation and reward techniques involving physical goods and services are described. In one example, digital content is configured to aid navigation of a user between different physical goods or services. This navigation includes user specified good or services as well as recommended goods or services that are not specified by the user. In another example, digital content is provided as part of a reward system. In return for permitting access to user data, the user is provided with rewards that are based on this monitored interaction. In this way, an owner of the store may gain detailed knowledge which may be used to increase likelihood of offering goods or services of interest to the user. In return, the user is provided with rewards to permit access to this detailed knowledge.

Abstract: Systems and methods of automatically generating a video are described. Systems and methods include receiving a test script, generating a step action tree comprising a plurality of actions based on the test script, receiving a selection of a first action of the plurality of actions in the step action tree, and based on the selection of the first action, generating a video clip of a graphical user interface performing the first action and associating the multimedia clip with the first action.

Abstract: A method and apparatus of a device that performs a hitless update a boot image of a network element. In this embodiment, the device identifies the network element to update and determines if the network element has redundant paths. If this network element has redundant paths, the device configures the network element to drain data processing of the network element. In addition, the device updates the network element to a new boot image when the data processing of the network element is drained.

Abstract: A method of forming an electrode array is disclosed, the method comprising: forming an elongate comb structure comprising a plurality of longitudinally-spaced electrode contacts extending from and supported by a spine; electrically connecting each of a plurality of electrically conductive pathways to a respective one of the plurality of electrode contacts; placing the conductive pathways adjacent the contacts; placing silicone over the conductive pathways and contacts; curing the silicone so as to substantially retain the longitudinal spacing between neighboring contacts; and severing the spine from the plurality of electrode contacts.

Abstract: A method and apparatus of a device that performs a hitless update a boot image of a network element. In this embodiment, the device identifies the network element to update and determines if the network element has redundant paths. If this network element has redundant paths, the device configures the network element to drain data processing of the network element. In addition, the device updates the network element to a new boot image when the data processing of the network element is drained.

Abstract: Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.