Electrode headset
    71.
    发明授权

    公开(公告)号:US11642081B2

    公开(公告)日:2023-05-09

    申请号:US16780449

    申请日:2020-02-03

    Abstract: In general, innovative aspects of the subject matter described in this specification can be embodied in an electrode headset and methods of using an electrode headset. An exemplary electrode headset includes a head covering, an electrode assembly, and a plurality of electrodes. The head covering has a plurality of holes and the electrode assembly includes a plurality of first connectors arranged to align with the plurality of holes of the head covering. Each electrode has a second connector configured to releasably mate with one of the first connectors of the electrode assembly through one of the plurality of holes of the head covering.

    Training artificial neural networks based on synaptic connectivity graphs

    公开(公告)号:US11631000B2

    公开(公告)日:2023-04-18

    申请号:US16731186

    申请日:2019-12-31

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a student neural network. In one aspect, there is provided a method comprising: processing a training input using the student neural network to generate a student neural network output comprising a respective score for each of a plurality of classes; processing the training input using a brain emulation neural network to generate a brain emulation neural network output comprising a respective score for each of the plurality of classes; and adjusting current values of the student neural network parameters using gradients of an objective function that characterizes a similarity between: (i) the student neural network output for the training input, and (ii) the brain emulation neural network output for the training input.

    Object pose neural network system
    73.
    发明授权

    公开(公告)号:US11625852B1

    公开(公告)日:2023-04-11

    申请号:US17114083

    申请日:2020-12-07

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium for predicting object pose. In one aspect, a method includes receiving an image of an object having one or more feature points; providing the image as an input to a neural network subsystem trained to receive images of objects and to generate an output including a heat map for each feature point; applying a differentiable transformation on each heat map to generate respective one or more feature coordinates for each feature point; providing the feature coordinates for each feature point as input to an object pose solver configured to compute a predicted object pose for the object, wherein the predicted object pose for the object specifies a position and an orientation of an object; and receiving, at the output of the object pose solver, a predicted object pose for the object in the image.

    Autonomous seagoing power replenishment watercraft

    公开(公告)号:US11623536B2

    公开(公告)日:2023-04-11

    申请号:US17808838

    申请日:2022-06-24

    Abstract: Methods, systems, and computer-readable media that implement autonomous seagoing power replenishment watercraft. An example system includes a plurality of marine vessels; a plurality of watercraft, each watercraft of the plurality of watercraft including a rechargeable electrical power supply and being configured to operate in: a first mode in which the watercraft awaits an assignment to provide electrical energy to a marine vessel of the plurality of marine vessels; a second mode in which the watercraft performs operations including keeping station with an assigned marine vessel and providing electrical energy to the assigned marine vessel from the power supply; and a third mode in which the watercraft recharges the power supply from a charging station. The system includes a controller configured to perform operations comprising: transmitting, to a first watercraft, an instruction indicating an assignment of the first watercraft to provide electrical energy to a first marine vessel.

    Photonic integrated circuit with optical deinterleaver

    公开(公告)号:US11621784B1

    公开(公告)日:2023-04-04

    申请号:US17489640

    申请日:2021-09-29

    Abstract: A photonic integrated circuit comprises an optical deinterleaver, including an input region, a dispersive region, and at least two output regions. The input region is adapted to receive an input optical signal including a plurality of channels. The dispersive region is optically coupled to the input region to receive the input optical signal. The dispersive region includes an inhomogeneous arrangement of a first material and a second material to structure the dispersive region to separate the input optical signal into a plurality of multi-channel optical signals, including a first multi-channel optical signal and a second multi-channel optical signal. The at least two output regions, include a first out region and a second output region optically coupled to the dispersive region. The first output region is positioned to receive the first multi-channel optical signal and the second output region is positioned to receive the second multi-channel optical signal.

    END-TO-END APTAMER DEVELOPMENT SYSTEM

    公开(公告)号:US20230101523A1

    公开(公告)日:2023-03-30

    申请号:US17936181

    申请日:2022-09-28

    Abstract: The present disclosure relates to in vitro experiments and in silico computation and machine-learning based techniques to iteratively improve a process for identifying binders that can bind a target. Particularly, aspects of the present disclosure are directed to obtaining initial sequence data, identifying, by a first machine-learning model having model parameters learned from the initial sequence data, a first set of aptamer sequences, obtaining, using an in vitro binding selection process, subsequent sequence data including sequences from the first set of aptamer sequences, identifying, by a second machine-learning model having model parameters learned from the subsequent sequence data, a second set of aptamer sequences, determining, using one or more in vitro assays, analytical data for aptamers synthesized from the second set of aptamer sequences, and identifying a final set of aptamer sequences from the second set of aptamer sequences based on the analytical data associated with each aptamer.

    USING SHIFT-TOLERANT LOSS FUNCTIONS IN AN INVERSE DESIGN PROCESS

    公开(公告)号:US20230099485A1

    公开(公告)日:2023-03-30

    申请号:US17487649

    申请日:2021-09-28

    Abstract: In some embodiments, techniques for creating a design for a physical device are provided. A computing system receives an initial design of the physical device. Performance of the physical device is simulated using the initial design. A performance loss value is determined for the physical device based on the simulated performance at a target wavelength and one or more delta wavelengths. The performance loss value is backpropagated to determine a gradient corresponding to an influence of changes in the initial design on the total performance loss value. The initial design of the physical device is revised based at least in part on the gradient.

    INTEGRATED ON-CHIP WIRELESS OPTICAL COMMUNICATION TERMINAL

    公开(公告)号:US20230085936A1

    公开(公告)日:2023-03-23

    申请号:US17890378

    申请日:2022-08-18

    Abstract: A free-space optical communication system includes an optical phased array (OPA) photonic integrated chip, a transceiver photonic integrated chip, and one or more processors. The OPA chip includes a plurality of array elements and a plurality of phase shifters. The transceiver chip includes one or more transmitter components and one or more receiver components. The one or more processors are configured to transmit a first signal via the OPA chip and the transceiver chip, and receive a second signal via the OPA chip and the transceiver chip.

    Learning from Demonstration for Determining Robot Perception Motion

    公开(公告)号:US20230084774A1

    公开(公告)日:2023-03-16

    申请号:US17932271

    申请日:2022-09-14

    Abstract: A method includes determining, for a robotic device that comprises a perception system, a robot planner state representing at least one future path for the robotic device in an environment. The method also includes determining a perception system trajectory by inputting at least the robot planner state into a machine learning model trained based on training data comprising at least a plurality of robot planner states corresponding to a plurality of operator-directed perception system trajectories. The method further includes controlling, by the robotic device, the perception system to move through the determined perception system trajectory.

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