The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 13, 2020

Filed:

Aug. 14, 2019
Applicant:

Apex Artificial Intelligence Industries, Inc., Centreville, VA (US);

Inventor:

Kenneth A. Abeloe, Carlsbad, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60Q 5/00 (2006.01); G05D 1/00 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G10L 13/047 (2013.01); G10L 15/22 (2006.01); G10L 13/04 (2013.01); G06N 20/00 (2019.01); B60W 30/095 (2012.01); G05D 1/02 (2020.01); G06N 5/04 (2006.01); B60R 11/02 (2006.01); B60R 11/04 (2006.01); G10L 15/16 (2006.01);
U.S. Cl.
CPC ...
G05D 1/0088 (2013.01); B60R 11/0217 (2013.01); B60R 11/04 (2013.01); B60W 30/0956 (2013.01); G05D 1/0221 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 5/046 (2013.01); G06N 20/00 (2019.01); G10L 13/043 (2013.01); G10L 13/047 (2013.01); G10L 15/16 (2013.01); G10L 15/22 (2013.01); B60Q 5/006 (2013.01); B60R 2300/102 (2013.01); B60R 2300/103 (2013.01); G05D 2201/0213 (2013.01); G10L 2015/223 (2013.01);
Abstract

A method of operating an apparatus using a control system that includes at least one neural network. The method includes receiving an input value captured by the apparatus, processing the input value using the at least one neural network of the control system implemented on first one or more solid-state chips, and obtaining an output from the at least one neural network resulting from processing the input value. The method may also include processing the output with another neural network implemented on solid-state chips to determine whether the output breaches a predetermined condition that is unchangeable after an initial installation onto the control system. The aforementioned another neural network is prevented from being retrained. The method may also include the step of using the output from the at least one neural network to control the apparatus unless the output breaches the predetermined condition. Similar corresponding apparatuses are described.


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