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:
Feb. 24, 2026

Filed:

Feb. 15, 2022
Applicant:

Lightmatter, Inc., Boston, MA (US);

Inventors:

Nicholas Dronen, Newton, MA (US);

Tyler J. Kenney, Boston, MA (US);

Tomo Lazovich, Cambridge, MA (US);

Ayon Basumallik, Framingham, MA (US);

Darius Bunandar, Boston, MA (US);

Assignee:

Lightmatter, Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06F 17/16 (2006.01); G06N 3/065 (2023.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 17/16 (2013.01); G06N 3/065 (2023.01);
Abstract

Methods and systems for training neural networks using low-bitwidth accelerators are described. The methods described herein use moment-penalization functions. For example, a method comprises producing a modified data set by training a neural network using a moment-penalization function and the data set. The moment-penalization function is configured to penalize a moment associated with the neural network. Training the neural network in turn comprises quantizing the data set to obtain a fixed-point data set so that the fixed-point data set represents the data set in a fixed-point representation, and passing the fixed-point data set through an analog accelerator. The inventors have recognized that training a neural network using a modified objective function augments the accuracy and robustness of the neural network notwithstanding the use of low-bitwidth accelerators.


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