IEEE - Institute of Electrical and Electronics Engineers, Inc. - Using Floating-Gate Memory to Train Ideal Accuracy Neural Networks

Author(s): Sapan Agarwal ; Diana Garland ; John Niroula ; Robin B. Jacobs-Gedrim ; Alex Hsia ; Michael S. Van Heukelom ; Elliot Fuller ; Bruce Draper ; Matthew J. Marinella
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 June 2019
Volume: 5
Page(s): 52 - 57
ISSN (Electronic): 2329-9231
DOI: 10.1109/JXCDC.2019.2902409
Regular:

Floating-gate silicon-oxygen-nitrogen-oxygen-silicon (SONOS) transistors can be used to train neural networks to ideal accuracies that match those of floating-point digital weights on the... View More

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