Artificial neural networks enabled by nanophotonics

Zhang, Q, Yu, H, Barbiero, M, Wang, B and Gu, M 2019, 'Artificial neural networks enabled by nanophotonics', Light: Science and Applications, vol. 8, no. 1, pp. 1-14.

Document type: Journal Article
Collection: Journal Articles

Title Artificial neural networks enabled by nanophotonics
Author(s) Zhang, Q
Yu, H
Barbiero, M
Wang, B
Gu, M
Year 2019
Journal name Light: Science and Applications
Volume number 8
Issue number 1
Start page 1
End page 14
Total pages 14
Publisher Nature
Abstract The growing demands of brain science and artificial intelligence create an urgent need for the development of artificial neural networks (ANNs) that can mimic the structural, functional and biological features of human neural networks. Nanophotonics, which is the study of the behaviour of light and the lightmatter interaction at the nanometre scale, has unveiled new phenomena and led to new applications beyond the diffraction limit of light. These emerging nanophotonic devices have enabled scientists to develop paradigm shifts of research into ANNs. In the present review, we summarise the recent progress in nanophotonics for emulating the structural, functional and biological features of ANNs, directly or indirectly.
Subject Optical Physics not elsewhere classified
Keyword(s) nitrogen-vacancy centers
DOI - identifier 10.1038/s41377-019-0151-0
Copyright notice © The Author(s) 2019. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License
ISSN 2095-5545
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