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:
Apr. 04, 2023

Filed:

Nov. 24, 2020
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Pia Petrizio, Sindelfingen, DE;

Rolf Michael Koehler, Dettenhausen, DE;

Assignee:

Robert Bosch GmbH, Stuttgart, DE;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06V 10/94 (2022.01); G06K 9/62 (2022.01); G06N 3/04 (2023.01); G06V 20/58 (2022.01); G06V 20/56 (2022.01); G06V 20/69 (2022.01);
U.S. Cl.
CPC ...
G06V 10/95 (2022.01); G06K 9/628 (2013.01); G06K 9/6265 (2013.01); G06K 9/6277 (2013.01); G06N 3/04 (2013.01); G06V 20/58 (2022.01); G06V 20/582 (2022.01); G06V 20/588 (2022.01); G06V 20/698 (2022.01);
Abstract

A method for operating an artificial neural network (ANN) on a hardware platform. The ANN is designed to ascertain confidences with which input data are to be assigned to N discrete classes. The hardware platform includes a dedicated unit which forms from a list of M>N confidences expanded confidences by encoding into each confidence an identification number of its place in the list, and numerically sorts the expanded confidences. The unit is fed confidences 1, . . . , M−N, which have the minimal representable value, and confidences M−N+1, . . . , M, which correspond to the N discrete classes, and/or it is ensured that those confidences fed to the unit that correspond to one of the N discrete classes have a value higher than the minimal representable value. A ranking of the classes ordered according to confidences, to which the input data are to be assigned, is ascertained from the first N of the numerically sorted expanded confidences.


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