Invention Grant
- Patent Title: Apparatus and method for monitoring and controlling of a neural network using another neural network implemented on one or more solid-state chips
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Application No.: US16540849Application Date: 2019-08-14
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Publication No.: US10795364B1Publication Date: 2020-10-06
- Inventor: Kenneth A. Abeloe
- Applicant: Apex Artificial Intelligence Industries, Inc.
- Applicant Address: US VA Centreville
- Assignee: Apex Artificial Intelligence Industries, Inc.
- Current Assignee: Apex Artificial Intelligence Industries, Inc.
- Current Assignee Address: US VA Centreville
- Agency: Knobbe, Martens, Olson & Bear, LLP
- Main IPC: B60Q5/00
- IPC: B60Q5/00 ; G05D1/00 ; G06N3/04 ; G06N3/08 ; G10L13/047 ; G10L15/22 ; G10L13/04 ; G06N20/00 ; B60W30/095 ; G05D1/02 ; G06N5/04 ; B60R11/02 ; B60R11/04 ; G10L15/16

Abstract:
A device implemented on solid-state chips for an autonomous machine with sensors. The device includes a neural network on the autonomous machine, trained with a first training data set that includes training data generated by a sensor located remote from the autonomous machine, and configured to generate output data after processing input data. The device also includes a processor coupled to the neural network, and a detector to receive the output data and determine whether the output data breaches a predetermined condition, and a neural network manager coupled to the neural network and adapted to re-train the first neural network using another training data set if the detector determines the output data breach the first predetermined condition; and another neural network structured and trained identical to the first neural network to generate a second output data by processing the set of input data, wherein the neural networks are executed simultaneously.
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