Abstract: The disclosure generally pertains to battery charging management of battery electric vehicles (BEVs). In an example method, a processor generates an operational profile for a first BEV among a number of BEVs. The profile may be based on a mileage accumulation pattern, a parking pattern, and/or a battery charging pattern, detected over an information collection period. The mileage accumulation pattern may be based on the use of the first BEV for commuting from a residence to a workplace. The processor determines an availability of a battery charging outlet in a section of a garage of the residence, and based on the operational profile of the first BEV, identifies a period of time for charging a battery of the first BEV in the garage. The processor then issues a directive to park the first BEV in the section of the garage over the identified period of time for charging the battery.

Abstract: The disclosure is generally directed to systems and methods for battery life cycle prediction for a preowned electrified vehicle including receiving state of charge (SOC) and mileage data associated with the preowned electrified vehicle, providing one or more driving maneuvers to be performed by a driver, providing one or more instructions to the driver to operate power-driven accessories of the preowned electrified vehicle, collecting data representing battery usage by the driver by monitoring the driving maneuvers and the operation of power-driven accessories as performed by the driver, and responsive to the collected data representing battery usage and the SOC and mileage, providing a battery life prediction for the preowned electrified vehicle.

Abstract: Remote power supply systems are provided for motor vehicles. The remote power supply systems may power auxiliary devices separate from the vehicle. Exemplary remote power supply systems may include one or more exportable power outlet boxes that include electrical power outlets for connecting the auxiliary devices. The electrical power outlets may be powered by a generator system of the vehicle. A control module associated with the remote power supply system may command one or more vehicle-specific actions designed to reduce the realized sound level at one or more nearby areas of interest when operating the vehicle in a power generation mode.

Abstract: Methods, computing devices, and computer-program products are provided for implementing a virtual personal assistant. In various implementations, a virtual personal assistant can be configured to receive sensory input, including at least two different types of information. The virtual personal assistant can further be configured to determine semantic information from the sensory input, and to identify a context-specific framework. The virtual personal assistant can further be configured to determine a current intent. Determining the current intent can include using the semantic information and the context-specific framework. The virtual personal assistant can further be configured to determine a current input state. Determining the current input state can include using the semantic information and one or more behavioral models. The behavioral models can include one or more interpretations of previously-provided semantic information.

Abstract: Methods, computing devices, and computer-program products are provided for implementing a virtual personal assistant. In various implementations, a virtual personal assistant can be configured to receive sensory input, including at least two different types of information. The virtual personal assistant can further be configured to determine semantic information from the sensory input, and to identify a context-specific framework. The virtual personal assistant can further be configured to determine a current intent. Determining the current intent can include using the semantic information and the context-specific framework. The virtual personal assistant can further be configured to determine a current input state. Determining the current input state can include using the semantic information and one or more behavioral models. The behavioral models can include one or more interpretations of previously-provided semantic information.

Abstract: This disclosure describes techniques that include generating, based on a description of a scene, a movie or animation that represents at least one possible version of a story corresponding to the description of the scene. This disclosure also describes techniques for training a machine learning model to generate predefined data structures from textual information, visual information, and/or other information about a story, an event, a scene, or a sequence of events or scenes within a story. This disclosure also describes techniques for using GANs to generate, from input, an animation of motion (e.g., an animation or a video clip). This disclosure also describes techniques for implementing an explainable artificial intelligence system that may provide end users with information (e.g., through a user interface) that enables an understanding of at least some of the decisions made by the AI system.

Abstract: A method and a system are provided for monitoring driving conditions. The method includes receiving video data comprising video frames from one or more sensors where the video frames may represent an interior or exterior of a vehicle, detecting and recognizing one or more features from the video data where each feature is associated with at least one driving condition, extracting the one or more features from the video data, developing intermediate features by associating and aggregating the extracted features among the extracted features, and developing a semantic meaning for the at least one driving condition by utilizing the intermediate features and the extracted one or more features.

Abstract: This disclosure describes techniques that include generating, based on a description of a scene, a movie or animation that represents at least one possible version of a story corresponding to the description of the scene. This disclosure also describes techniques for training a machine learning model to generate predefined data structures from textual information, visual information, and/or other information about a story, an event, a scene, or a sequence of events or scenes within a story. This disclosure also describes techniques for using GANs to generate, from input, an animation of motion (e.g., an animation or a video clip). This disclosure also describes techniques for implementing an explainable artificial intelligence system that may provide end users with information (e.g., through a user interface) that enables an understanding of at least some of the decisions made by the AI system.

Abstract: A method and a system are provided for monitoring driving conditions. The method includes receiving video data comprising video frames from one or more sensors where the video frames may represent an interior or exterior of a vehicle, detecting and recognizing one or more features from the video data where each feature is associated with at least one driving condition, extracting the one or more features from the video data, developing intermediate features by associating and aggregating the extracted features among the extracted features, and developing a semantic meaning for the at least one driving condition by utilizing the intermediate features and the extracted one or more features.

Abstract: Methods, computing devices, and computer-program products are provided for implementing a virtual personal assistant. In various implementations, a virtual personal assistant can be configured to receive sensory input, including at least two different types of information. The virtual personal assistant can further be configured to determine semantic information from the sensory input, and to identify a context-specific framework. The virtual personal assistant can further be configured to determine a current intent. Determining the current intent can include using the semantic information and the context-specific framework. The virtual personal assistant can further be configured to determine a current input state. Determining the current input state can include using the semantic information and one or more behavioral models. The behavioral models can include one or more interpretations of previously-provided semantic information.

Abstract: A remote signal transmitter capable of producing a radio frequency signal for implementation of access commands including an oscillator circuit which is alternatively capable of producing a fixed frequency signal or a modulated frequency signal as a result of selective biasing by a microprocessor. The oscillator signal is broadcast as a series of data bits which achieve a unique signature as a result of the sequence in which the fixed and modulated signals are broadcast. In addition, the signals may be broadcast for various durations which are representative of digital zeros and ones. A receiver detects the presence of the fixed and modulated signals and digital values thereof by comparison with stored values. In this manner a friend/foe screen is implemented which then permits implementation of a command contained in the remainder of the data bit stream.

Abstract: A method of separating N.sub.2 O.sub.5 from its solution in nitric acid which comprises the steps of: (a) preparing, by the electrochemical oxidation of N.sub.2 O.sub.4 in nitric acid, a nitric acid solution at a temperature of at least 10.degree. C. containing at least 45 wt. % of dissolved (N.sub.2 O.sub.4 +N.sub.2 O.sub.5) and having a dissolved N.sub.2 O.sub.5 :nitric acid ratio by weight of at least 1:3, and (b) cooling the acid solution to less than 8.degree. C. until an N.sub.2 O.sub.5 solvate precipitates from solution. The main advantage of the invention is that it enables electrically-efficient electrochemical methods to be employed in the production of the acid solution from which the solute is recovered.

Abstract: In a process for the production of titanium dioxide by the vapour phase oxidation of titanium tetrachloride in which process entrained inert particulate material is passed through equipment used to reduce or prevent the deposition of solids thereon, the quantity of inert particulate material entrained may be affected by the varying back pressure normally obtaining in the equipment. The control of this quantity may be improved by reducing pressure differences (by means of conduit 39) between the inlet (40) and outlet (36) of a mechanical feeding device (29, 30) for the solids. This entails the transmission of the pressure (from the conduit 26) into the solids delivery system 25(17) and this may be alleviated, optionally, by maintaining a head of solids in the system and/or by using a system of pressurized hoppers. The invention enables the quantity of inert particulate material used to be reduced.