Collingwood-Pierce, Alexandra Isobel Seymour

Implementations herein relate to a process for performing, by a computing device, a task based on a natural language query from a user. The natural language query can be received from a user at an initial state of a user interface (UI) of an electronic device, and can relate to a target task performable at a terminal state of the UI. A multi-layer data structure related to a plurality of states of the UI can then be identified. This plurality of UI states can include at least the initial state of the UI, the terminal state of the UI, and one or more intermediate states. The natural language query and the multi-layer data structure can then be processed, via a multimodal machine-learning model, to identify the terminal state of the UI at which the target task is performable. Other implementations can be described and/or claimed.

Implementations set forth herein relate to a generative application that provides a visual content editor in response to receiving a request for generative visual content. The visual content editor can be provided with an intermediate representation of the generative visual content requested by a user, thereby allowing the user to adjust the intermediate representation. Such adjustments can involve annotating the intermediate representation, adjusting orientation, zoom, gaze, or other features of the intermediate representation. Such modifications to the intermediate representation can then be processed with the initial request from the user to ultimately render the requested generative visual content. The generative visual content can include, for example, generative image content, generative visual content, or other generative visual content.

Systems and methods for using multi-modal token processing neural networks for autonomous driving. One of the methods includes obtaining an input sequence of tokens characterizing a driving environment for a vehicle, wherein the input sequence of tokens comprises, for each of one or more time steps, a respective set of tokens for each of a plurality of modalities of data from a set of multiple modalities of data; and processing the input sequence of tokens using a multi-modal token processing neural network to generate an output sequence of tokens, wherein: the output sequence of tokens characterizes a prediction for a prediction task for the vehicle, wherein: the multi-modal token processing neural network has been trained to process input token sequences characterizing current states of example driving environments to generate output token sequences characterizing predicted future states of the example driving environments.

A hybrid circuit interrupter includes a primary inductor, a mechanical switching element coupled to the primary inductor, and a solid-state switching circuit coupled to the primary inductor and connected in parallel with the mechanical switching element, wherein the solid-state switching circuit is structured and configured to commutate current away from the mechanical switching element during a fault condition, and wherein the solid-state switching circuit includes a secondary inductor, a first number of power electronics elements in series with the secondary inductor, and a second number of power electronics elements structured and configured to regulate current through the mechanical switching element.

A wearable computing device may receive a request to connect the wearable computing device to a non-terrestrial communication network. The computing device may identify a particular satellite associated with the non-terrestrial communication network. The computing device may determine a target orientation of the wearable computing device that includes a target azimuth of the wearable computing device and a target altitude of the wearable computing device. The computing device may output a graphical user interface that includes a first set of visual elements that are indicative of one or more of the target azimuth of the wearable computing device relative to a current azimuth of an arm of the wearer of the wearable computing device, or the target altitude of the wearable computing device relative to a current altitude of the arm of the wearer of the wearable computing device. The computing device may transmit data to the particular satellite.

A shutter assembly includes a slider slidable in a first direction relative to a cassette, and first and second arms coupled the slider and the cassette that are independently slidable in the first direction relative to the slider and the cassette and pivotable relative to the slider and the cassette, and shutter plates coupled to the arms such that are movable between a closed condition and an open condition wherein the apertures of the shutter plates are aligned with one another and the of terminals of the cassette. The slider includes a locking portion structured to enable the slider to be padlocked to a member extending from the top surface of the cassette. The shutter assembly also includes a latching mechanism for latching the shutter assembly in the open condition.

An improved emergency pedestal includes a lighting projection device to increase visibility and identifiability of the emergency pedestal. The lighting projection device is separate from an illumination lens that provides lighting to illuminate the area around the emergency pedestal. The lighting projection device is configured to project an illuminated image on a nearby ground surface. The illuminated image depicts a fire extinguisher and/or text or other imagery that identifies the emergency pedestal as specifically being an emergency pedestal. Projecting the illuminated image helps a user to clearly differentiate the emergency pedestal from other outdoor pedestals such as power pedestals, especially in low ambient lighting or low visibility conditions.

An example computing system retrieves information from one or more applications, and receives an indication of a natural language input. The computing system applies a machine learning model to at least a portion of the information and at least a portion of the indication of the natural language input to generate instructions for generating at least one graphical component, e.g., a custom widget. The instructions may include a temporal parameter for the at least one graphical component, in which the computing system may update, based on the temporal parameter, the instructions for generating the at least one graphical component to update the at least one graphical component.

According to some aspects of the present disclosure, a power distribution device comprises one or more input terminals, each being connectable to a respective electrical power supply; one or more output terminals, each being connectable to one or more electric devices; and one or more electrical paths, each connecting a respective one of the one or more input terminals and a respective one of the one or more output terminals and comprising one or more solid-state fuses. According to another aspect of the present disclosure, an aircraft comprises an electric power source; an electrical propulsion system; and the power distribution system described above connected to deliver electrical power from the electrical power supply to the electrical propulsion system.

A system (120) includes: an electrical apparatus including a circuit (124); a sensor mount (160) including: a rigid base (162) including a bottom side, an inner side (164) that defines an opening (165), an outer side (163), and a region (166) configured to receive an AC current sensor; and a bushing (140) including: an electrically insulating body (142), and an electrical conductor (144) that passes through a wall (123) of the electrical apparatus and is configured to be electrically connected to the circuit. The rigid base is attached to the wall with the bushing extending through the opening.