A Design Methodology for Fault-Tolerant Neuromorphic Computing Using Bayesian Neural Network

A Design Methodology for Fault-Tolerant Neuromorphic Computing Using Bayesian Neural Network

Memristor crossbar arrays are a promising platform for neuromorphic computing. In practical scenarios, the synapse weights represented by the memristors for the underlying system are subject to process variations, in which the programmed weight when read out for inference is no longer deterministic...

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Bibliographic Details
Main Authors: Di Gao, Xiaoru Xie, Dongxu Wei
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Micromachines
Subjects:
neuromorphic computing
memristor crossbar array
process variation
Bayesian neural network
variational inference
Online Access:https://www.mdpi.com/2072-666X/14/10/1840

Internet

https://www.mdpi.com/2072-666X/14/10/1840

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