Invention Application
- 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.: US20200334525A1Publication Date: 2020-10-22
- Inventor: HsinYu Tsai , Stefano Ambrogio , Pierce I-Jen Chuang , Geoffrey Burr , Pritish Narayanan
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 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
- US11461640B2 Mitigation of conductance drift in neural network resistive processing units Public/Granted day:2022-10-04
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