METHODS AND ARRANGEMENTS TO IDENTIFY ACTIVATION PROFILE CONTEXT IN TRAINING DATA

    公开(公告)号:US20200302301A1

    公开(公告)日:2020-09-24

    申请号:US16894535

    申请日:2020-06-05

    Abstract: Logic may determine a specific performance of a neural network based on an event and may present the specific performance to provide a user with an explanation of the inference by a machine learning model such as a neural network. Logic may determine a first activation profile associated with the event, the first activation profile based on activation of nodes in one or more layers of the neural network during inference to generate an output. Logic may correlate the first activation profile against a second activation profile associated with a first training sample of training data. Logic may determine that the first training sample is associated with the event based on the correlation. Logic may output an indicator to identify the first training sample as being associated with the event.

    SIX DEGREE OF FREEDOM VIDEO TRANSCODING MECHANISM

    公开(公告)号:US20200045288A1

    公开(公告)日:2020-02-06

    申请号:US16050248

    申请日:2018-07-31

    Inventor: Jill Boyce

    Abstract: An apparatus to facilitate a six degrees of freedom (6 DoF) conversion is disclosed. The apparatus includes a transcoder to convert 6 DoF point cloud data to video data having a second video data format, the transcoder including conversion logic to receive the point cloud data from an external source, receive position and orientation parameter data received from a client and render a component of the point cloud data into the video data based on the position and orientation parameter data and an encoder to encode the video data for transmission to the client.

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