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.: US17875167Application Date: 2022-07-27
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Publication No.: US20220383086A1Publication Date: 2022-12-01
- 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 ; G06F17/16 ; G11C11/54 ; G11C11/56

Abstract:
Numerous examples 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. In one example, a method for performing a read or verify operation in a vector-by-matrix multiplication system comprising an input function circuit, a memory array, and an output circuit block is disclosed, the method comprising receiving, by the input function circuit, digital bit input values; converting the digital input values into an input signal; applying the input signal to control gate terminals of selected cells in the memory array; and generating, by the output circuit block, an output value in response to currents received from the memory array.
Information query