CALIBRATION TARGET FOR ULTRASONIC REMOVAL OF ECTOPARASITES FROM FISH

    公开(公告)号:WO2023033895A1

    公开(公告)日:2023-03-09

    申请号:PCT/US2022/033053

    申请日:2022-06-10

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for a calibration target for ultrasonic removal of ectoparasites from fish. In some implementations, the calibration target includes a fish-shaped structure, sensors positioned at different locations of the fish-shaped structure, a processor that receives sensor values from the sensors, and a transmitter that outputs sensor data from the calibration target based on the sensor values.

    PARTITIONING ASSETS FOR ELECTRIC GRID CONNECTION MAPPING

    公开(公告)号:WO2023019199A1

    公开(公告)日:2023-02-16

    申请号:PCT/US2022/074829

    申请日:2022-08-11

    Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for training a machine-learning model for predicting event tags. The system obtains asset data for an electric power distribution system in a geographic area. The asset data includes: for each of a plurality of electrical assets of the electrical power distribution system, data indicating one or more characteristics of the electrical asset. The system further obtains sensor data for the electric power distribution system. The sensor data includes measurement data from a plurality of electric sensors. The system generates, by processing the asset data and the sensor data, partition data that includes, for each of the plurality of electrical assets, an assignment that assigns the electrical asset to one of a set of feeder networks.

    ENHANCING GENERATIVE ADVERSARIAL NETWORKS USING COMBINED INPUTS

    公开(公告)号:WO2023283570A1

    公开(公告)日:2023-01-12

    申请号:PCT/US2022/073453

    申请日:2022-07-06

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a synthesized signal. A computer-implemented system obtains generator input data including at least an input signal having one or more first characteristics, processes the generator input data to generate output data including a synthesized signal having one or more second characteristics using a generator neural network, and outputs the synthesized signal to a device. The generator neural network is trained, based on a plurality of training examples, with a discriminator neural network. The discriminator neural network is configured to process discriminator input data that combines a discriminator input signal having the one or more second characteristics with at least a portion of generator input data to generate a prediction of whether the discriminator input signal is a real signal provided in one of the plurality of training examples or a synthesized signal.

    EXPERIMENT AND MACHINE-LEARNING TECHNIQUES TO IDENTIFY AND GENERATE HIGH AFFINITY BINDERS

    公开(公告)号:WO2022251473A1

    公开(公告)日:2022-12-01

    申请号:PCT/US2022/031103

    申请日:2022-05-26

    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 any given molecular target. Particularly, aspects of the present disclosure are directed to obtaining initial sequence data for aptamers that bind to a target, measuring a first signal to noise ratio within the initial sequence data, provisioning, based on the first signal to noise ratio, a first machine-learning system, generating, by the first machine-learning system, a first set of aptamer sequences, obtaining subsequent sequence data for aptamers that bind to the target, measuring a second signal to noise ratio within the subsequent sequence data, provisioning, based on the second signal to noise ratio, a second machine-learning system, generating, by the second machine- learning system, a second set of aptamer sequences, and outputting the second set of aptamer sequences.

    STATE-SPECIFIC AQUACULTURE FEEDER CONTROLLER
    35.
    发明申请

    公开(公告)号:WO2022240494A1

    公开(公告)日:2022-11-17

    申请号:PCT/US2022/022837

    申请日:2022-03-31

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for controlling an aquaculture feeding system are described. In some implementations, a method includes determining, using a feeding system controller, that a feeding system has transitioned from a first state to a second state, and based on the transition from the first to the second state providing, using the feeding system controller, instructions to a dosing system to set a feed rate of the dosing system, and providing, using the feeding system controller, instructions to a blower operatively coupled to the dosing system to set a flow rate of the blower.

    SENSING THE ENVIRONMENT OF A MOBILE ROBOT
    36.
    发明申请

    公开(公告)号:WO2022232735A1

    公开(公告)日:2022-11-03

    申请号:PCT/US2022/071394

    申请日:2022-03-28

    Abstract: A method includes receiving data collected by at least one sensor on a robotic device, wherein the data is to be used for an ambient environment state representation, and wherein the data represents ambient environment measurements collected at locations of the at least one sensor when the robotic device is passively monitoring an environment such that robotic device navigation is not based on the ambient environment state representation. The method further includes determining the ambient environment state representation using the data collected by the at least one sensor on the robotic device. The method also includes identifying, based on the ambient environment state representation, one or more anomalous ambient environment measurements. The method additionally includes causing, based on the one or more identified anomalous ambient environment measurements, the robotic device to actively monitor the environment such that robotic device navigation is based on the ambient environment state representation.

    ASSET-LEVEL VULNERABILITY AND MITIGATION
    37.
    发明申请

    公开(公告)号:WO2022164515A1

    公开(公告)日:2022-08-04

    申请号:PCT/US2021/062530

    申请日:2021-12-09

    Abstract: Methods, systems, and apparatus for receiving a request for a damage propensity score for a parcel, receiving imaging data for the parcel, wherein the imaging data comprises street-view imaging data of the parcel, extracting, by a machine-learned model including multiple classifiers, characteristics of vulnerability features for the parcel from the imaging data, determining, by the machine-learned model and from the characteristics of the vulnerability features, a damage propensity score for the parcel, and providing a representation of the damage propensity score for display.

    SIMULATION DRIVEN ROBOTIC CONTROL OF REAL ROBOT(S)

    公开(公告)号:WO2022147018A1

    公开(公告)日:2022-07-07

    申请号:PCT/US2021/065353

    申请日:2021-12-28

    Abstract: Active utilization of a robotic simulator in control of one or more real world robots. A simulated environment of the robotic simulator can be configured to reflect a real world environment in which a real robot is currently disposed, or will be disposed. The robotic simulator can then be used to determine a sequence of robotic actions for use by the real world robot(s) in performing at least part of a robotic task. The sequence of robotic actions can be applied, to a simulated robot of the robotic simulator, to generate a sequence of anticipated simulated state data instances. The real robot can be controlled to implement the sequence of robotic actions. The implementation of one or more of the robotic actions can be contingent on a real state data instance having at least a threshold degree of similarity to a corresponding one of the anticipated simulated state data instances.

    GENERATION AND/OR RECOMMENDATION OF TOOLS FOR AUTOMATING ASPECTS OF COMPUTER PROGRAMMING

    公开(公告)号:WO2022132944A1

    公开(公告)日:2022-06-23

    申请号:PCT/US2021/063575

    申请日:2021-12-15

    Abstract: Implementations are described herein for leveraging prior source code transformations to facilitate automatic creation and/or recommendation of tools for automating aspects of source code transformations captured in real time. In various implementations, a transformation made by a programmer to a source code snipped may be captured in a source code editor application in real time. Based on the transformation and the intent, one or more candidate source code transformations may be identified from one or more repositories of prior source code transformations made by one or more other programmers. The source code editor application may be caused to provide output indicative of a tool that is operable to automate one or more edits associated with both the transformation made by the programmer to the source code snippet and with one or more of the candidate source code transformations.

    RECOVERING MATERIAL PROPERTIES WITH ACTIVE ILLUMINATION AND CAMERA ON A ROBOT MANIPULATOR

    公开(公告)号:WO2022115815A1

    公开(公告)日:2022-06-02

    申请号:PCT/US2021/071700

    申请日:2021-10-04

    Inventor: SATAT, Guy

    Abstract: A method includes identifying a target surface in an environment of a robotic device. The method further includes controlling a moveable component of the robotic device to move along a motion path relative to the target surface, wherein the moveable component comprises a light source and a camera. The method additionally includes receiving a plurality of images from the camera when the moveable component is at a plurality of poses along the motion path and when the light source is illuminating the target surface. The method also includes determining bidirectional reflectance distribution function (BRDF) image data, wherein the BRDF image data comprises the plurality of images converted to angular space with respect to the target surface. The method further includes determining, based on the BRDF image data and by applying at least one pre-trained machine learning model, a material property of the target surface.

Patent Agency Ranking