Invention Application
- Patent Title: Deep Learning Neural Network Classifier Using Non-volatile Memory Array
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Application No.: US15594439Application Date: 2017-05-12
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Publication No.: US20170337466A1Publication Date: 2017-11-23
- Inventor: Farnood Merrikh Bayat , Xinjie Guo , Dmitri Strukov , Nhan Do , Hieu Van Tran , Vipin Tiwari , Mark Reiten
- Applicant: Silicon Storage Technology, Inc. , The Regents of the University of California
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06F3/06

Abstract:
An artificial neural network device that utilizes one or more non-volatile memory arrays as the synapses. The synapses are configured to receive inputs and to generate therefrom outputs. Neurons are configured to receive the outputs. The synapses include a plurality of memory cells, wherein each of the memory cells includes spaced apart source and drain regions formed in a semiconductor substrate with a channel region extending there between, a floating gate disposed over and insulated from a first portion of the channel region and a non-floating gate disposed over and insulated from a second portion of the channel region. Each of the plurality of memory cells is configured to store a weight value corresponding to a number of electrons on the floating gate. The plurality of memory cells are configured to multiply the inputs by the stored weight values to generate the outputs.
Public/Granted literature
- US11308383B2 Deep learning neural network classifier using non-volatile memory array Public/Granted day:2022-04-19
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