Patent · US Active

High precision and highly efficient tuning mechanisms and algorithms for analog neuromorphic memory in artificial neural networks

US10748630B2 · kind B2 · utility

16Cited by

22References

10Claims

0Family size

Assignee

Silicon Storage Technology, Inc. · US

Inventors

Hieu Van Tran · San Jose, US
Vipin Tiwari · Dublin, US
Nhan Do · Saratoga, US
Steven Lemke · Boulder Creek, US
Santosh Hariharan · San Jose, US
Stanley Hong · Palo Alto, US

Key dates

Filing date	Nov 29, 2017
Grant date	Aug 18, 2020
Priority date	—
Expiry date	Nov 29, 2037

Classification

Technology area (CPC G)Physics
CPC primaryG11C7/20
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

An artificial neural network device that utilizes analog neuromorphic memory that comprises one or more non-volatile memory arrays. The embodiments comprise improved mechanisms and algorithms for tuning the non-volatile memory arrays such that the floating gates of the memory cells can be quickly and accurately injected with the desired amount of charge to signify an analog value utilized as a weight by the artificial neural network.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.