Reconfigurable nonlinear photonic activation function for photonic neural network based on non-volatile opto-resistive RAM switch

Zefeng Xu; Baoshan Tang; Xiangyu Zhang; Jin Feng Leong; Jieming Pan; Sonu Hooda; Evgeny Zamburg; Aaron Voon-Yew Thean

doi:10.1038/s41377-022-00976-5

Light: Science & Applications (Oct 2022)

Reconfigurable nonlinear photonic activation function for photonic neural network based on non-volatile opto-resistive RAM switch

Zefeng Xu,
Baoshan Tang,
Xiangyu Zhang,
Jin Feng Leong,
Jieming Pan,
Sonu Hooda,
Evgeny Zamburg,
Aaron Voon-Yew Thean

Affiliations

Zefeng Xu: Integrative Sciences and Engineering Programme, NUS Graduate School, National University of Singapore
Baoshan Tang: Department of Electrical and Computer Engineering, National University of Singapore
Xiangyu Zhang: Department of Electrical and Computer Engineering, National University of Singapore
Jin Feng Leong: Department of Electrical and Computer Engineering, National University of Singapore
Jieming Pan: Department of Electrical and Computer Engineering, National University of Singapore
Sonu Hooda: Department of Electrical and Computer Engineering, National University of Singapore
Evgeny Zamburg: Department of Electrical and Computer Engineering, National University of Singapore
Aaron Voon-Yew Thean: Integrative Sciences and Engineering Programme, NUS Graduate School, National University of Singapore

DOI: https://doi.org/10.1038/s41377-022-00976-5
Journal volume & issue: Vol. 11, no. 1
pp. 1 – 11

Abstract

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A novel nonlinear accelerator based on non-volatile opto-resistive RAM switch was proposed and demonstrated to enable fully in-situ photonic neural network.

Published in Light: Science & Applications

ISSN: 2047-7538 (Online)
Publisher: Nature Publishing Group
Country of publisher: United Kingdom
LCC subjects: Technology: Engineering (General). Civil engineering (General): Applied optics. Photonics; Science: Physics: Optics. Light
Website: https://www.nature.com/lsa/

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