METHODS AND APPARATUS TO TRAIN MODELS FOR PROGRAM SYNTHESIS

    公开(公告)号:US20220108182A1

    公开(公告)日:2022-04-07

    申请号:US17551170

    申请日:2021-12-14

    Abstract: Methods and apparatus to train models for program synthesis are disclosed. A disclosed example apparatus includes at least one memory, instructions, and processor circuitry. The processor circuitry is to execute the instructions to sample pairs of programs, the pairs of programs including first programs and second programs, the first programs including natural language descriptions and second programs, calculate program similarity scores corresponding to the pairs of programs, and train a model based on entries corresponding to ones of the pairs of programs, at least one of the entries including a corresponding one of the natural language descriptions with a paired one of the second programs, and a corresponding one of the program similarity scores.

    OBJECT TRACKING TECHNOLOGY BASED ON COGNITIVE REPRESENTATION OF A LOCATION IN SPACE

    公开(公告)号:US20200327802A1

    公开(公告)日:2020-10-15

    申请号:US16912978

    申请日:2020-06-26

    Abstract: Systems, apparatuses and methods may provide for origination camera technology that generates a cell representation of a local space associated with an origination camera in a multicast domain, predicts that an object in the local space will exit the local space and enter one or more adjacent spaces associated with additional cameras in the multicast domain, and sends the cell representation and a trajectory of the object to the additional cameras before the object exits the local space. Additionally, transition camera technology may generate a leader election message based on a multicasted trajectory of an object and a predicted trajectory of the object, send the leader election message from a transition camera to one or more additional cameras in a multicast domain, and track the object in the local space in response to a leader notification message.

    Safety system for a vehicle
    8.
    发明授权

    公开(公告)号:US11472414B2

    公开(公告)日:2022-10-18

    申请号:US16830413

    申请日:2020-03-26

    Abstract: A safety system for a vehicle may include one or more processors configured to determine, based on a friction prediction model, one or more predictive friction coefficients between the ground and one or more tires of the ground vehicle using first ground condition data and second ground condition data. The first ground condition data represent conditions of the ground at or near the position of the ground vehicle, and the second ground condition data represent conditions of the ground in front of the ground vehicle with respect to a driving direction of the ground vehicle. The one or more processors are further configured to determine driving conditions of the ground vehicle using the determined one or more predictive friction coefficients.

    AUTOMATED NETWORK CONTROL SYSTEMS THAT ADAPT NETWORK CONFIGURATIONS BASED ON THE LOCAL NETWORK ENVIRONMENT

    公开(公告)号:US20200329386A1

    公开(公告)日:2020-10-15

    申请号:US16913541

    申请日:2020-06-26

    Abstract: Systems, apparatuses and methods may provide for technology that adjusts, via a short-term subsystem, a communications parameter for one or more of wireless communication devices based on data from one or more of a plurality of sensors. The technology may also determine, via a neural network, a prediction of future performance of the wireless network based on a state of the network environment, wherein the state of the network environment includes information from the short-term subsystem and location information about the wireless communication devices and other objects in the environment, and determine a change in network configuration to improve a quality of communications in the wireless network based on the prediction of future performance of the wireless network. The technology may further generate generic path loss models based on time-stamped RSSI maps and record a sequence of events that cause a significant drop in RSSI to determine a change in network configuration.

    Automated network control systems that adapt network configurations based on the local network environment

    公开(公告)号:US11570638B2

    公开(公告)日:2023-01-31

    申请号:US16913541

    申请日:2020-06-26

    Abstract: Systems, apparatuses and methods may provide for technology that adjusts, via a short-term subsystem, a communications parameter for one or more of wireless communication devices based on data from one or more of a plurality of sensors. The technology may also determine, via a neural network, a prediction of future performance of the wireless network based on a state of the network environment, wherein the state of the network environment includes information from the short-term subsystem and location information about the wireless communication devices and other objects in the environment, and determine a change in network configuration to improve a quality of communications in the wireless network based on the prediction of future performance of the wireless network. The technology may further generate generic path loss models based on time-stamped RSSI maps and record a sequence of events that cause a significant drop in RSSI to determine a change in network configuration.

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