Invention Grant
- Patent Title: Deep learning neural network classifier using non-volatile memory array
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Application No.: US17580862Application Date: 2022-01-21
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Publication No.: US12300313B2Publication Date: 2025-05-13
- 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
- Applicant Address: US CA San Jose; US CA Oakland
- Assignee: Silicon Storage Technology, Inc.,The Regents of the University of California
- Current Assignee: Silicon Storage Technology, Inc.,The Regents of the University of California
- Current Assignee Address: US CA San Jose; US CA Oakland
- Agency: DLA Piper LLP (US)
- Main IPC: G11C11/54
- IPC: G11C11/54 ; G06F3/06 ; G06N3/04 ; G06N3/045 ; G06N3/063 ; G11C16/08 ; G11C16/12 ; G11C16/16 ; G11C16/34 ; G11C29/38

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
- US20220147794A1 Deep Learning Neural Network Classifier Using Non-volatile Memory Array Public/Granted day:2022-05-12
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