Invention Application
- Patent Title: PRECISION TUNING FOR THE PROGRAMMING OF ANALOG NEURAL MEMORY IN A DEEP LEARNING ARTIFICIAL NEURAL NETWORK
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Application No.: US16576533Application Date: 2019-09-19
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Publication No.: US20210089875A1Publication Date: 2021-03-25
- Inventor: Hieu Van Tran , Steven Lemke , Vipin Tiwari , Nhan Do , Mark Reiten
- Applicant: Silicon Storage Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Silicon Storage Technology, Inc.
- Current Assignee: Silicon Storage Technology, Inc.
- Current Assignee Address: US CA San Jose
- Main IPC: G06N3/063
- IPC: G06N3/063 ; G11C11/56 ; G06F17/16 ; G11C11/54
Abstract:
Numerous embodiments of a precision tuning algorithm and apparatus are disclosed for precisely and quickly depositing the correct amount of charge on the floating gate of a non-volatile memory cell within a vector-by-matrix multiplication (VMM) array in an artificial neural network. Selected cells thereby can be programmed with extreme precision to hold one of N different values.
Public/Granted literature
- US11507816B2 Precision tuning for the programming of analog neural memory in a deep learning artificial neural network Public/Granted day:2022-11-22
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