Invention Grant
- Patent Title: Mitigation of conductance drift in neural network resistive processing units
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Application No.: US16388320Application Date: 2019-04-18
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Publication No.: US11461640B2Publication Date: 2022-10-04
- Inventor: HsinYu Tsai , Stefano Ambrogio , Pierce I-Jen Chuang , Geoffrey Burr , Pritish Narayanan
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Tutunjian & Bitetto, P.C.
- Agent Randall Bluestone
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/04

Abstract:
Methods and systems for performing calculations with a neural network include determining a conductance drift coefficient for resistive processing unit (RPU) weights in a neural network. A correction factor is applied to neuron inputs in the neural network in accordance with the drift coefficient and a time that has elapsed since the RPU weights were programmed. A calculation is performed with the neural network. The correction factor compensates for conductance drift.
Public/Granted literature
- US20200334525A1 MITIGATION OF CONDUCTANCE DRIFT IN NEURAL NETWORK RESISTIVE PROCESSING UNITS Public/Granted day:2020-10-22
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