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:
Nov. 29, 2022

Filed:

Oct. 28, 2019
Applicant:

Arm Limited, Cambridge, GB;

Inventor:

Emre Ozer, Buckden, GB;

Assignee:

Arm Limited, Cambridge, GB;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/00 (2022.01); G06N 20/00 (2019.01); H04N 19/176 (2014.01); H04N 19/61 (2014.01); G06F 16/35 (2019.01); G06K 9/62 (2022.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/35 (2019.01); G06K 9/6256 (2013.01); G06K 9/6262 (2013.01); G06K 9/6269 (2013.01); G06N 3/08 (2013.01); H04N 19/176 (2014.11); H04N 19/61 (2014.11);
Abstract

A safety-based prediction apparatus, system and method are provided. A machine learning hardware accelerator (MLHA) includes a main classifier (MC) module, at least one guardian classifier (GC) module, and a final predicted class decision module. The MC module predicts an MC predicted class based on input data, and includes a pre-trained, machine learning main classifier (MLMC) that has at least one safety critical (SC) class and a plurality of non-SC classes. Each guardian classifier (GC) module is associated with an SC class, and predicts a GC predicted class based on the input data. Each GC module includes a pre-trained, machine learning guardian classifier (MLGC) having two classes including an associated SC class and a residual class that includes any non-associated SC classes and the plurality of non-SC classes. A decision module determines and outputs a final predicted class based on the MC predicted class and each GC predicted class.


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