Invention Grant
- Patent Title: Current compensation block and method for programming analog neural memory in deep learning artificial neural network
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Application No.: US16550253Application Date: 2019-08-25
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Publication No.: US10943661B2Publication Date: 2021-03-09
- Inventor: Hieu Van Tran , Thuan Vu , Stanley Hong , Anh Ly , Vipin Tiwari , Nhan Do
- 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
- Agency: DLA Piper LLP US
- Main IPC: G11C16/04
- IPC: G11C16/04 ; G06N3/08 ; H01L27/11521 ; H01L29/788 ; G06N3/04

Abstract:
Numerous embodiments are disclosed for a high voltage generation algorithm and system for generating high voltages necessary for a particular programming operation in analog neural memory used in a deep learning artificial neural network. Different calibration algorithms and systems are also disclosed. Optionally, compensation measures can be utilized that compensate for changes in voltage or current as the number of cells being programmed changes.
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