A multichannel optical computing architecture for advanced machine vision

Zhihao Xu; Xiaoyun Yuan; Tiankuang Zhou; Lu Fang

doi:10.1038/s41377-022-00945-y

Light: Science & Applications (Aug 2022)

A multichannel optical computing architecture for advanced machine vision

Zhihao Xu,
Xiaoyun Yuan,
Tiankuang Zhou,
Lu Fang

Affiliations

Zhihao Xu: Sigma Laboratory, Department of Electronic Engineering, Tsinghua University
Xiaoyun Yuan: Sigma Laboratory, Department of Electronic Engineering, Tsinghua University
Tiankuang Zhou: Sigma Laboratory, Department of Electronic Engineering, Tsinghua University
Lu Fang: Sigma Laboratory, Department of Electronic Engineering, Tsinghua University

DOI: https://doi.org/10.1038/s41377-022-00945-y
Journal volume & issue: Vol. 11, no. 1
pp. 1 – 13

Abstract

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We develop Monet: a multichannel optical neural network architecture for a universal multiple-input multiple-channel optical computing based on a novel projection-interference-prediction framework, solving real-world advanced machine vision tasks optically.

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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