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Artificial neural networks enabled by nanophotonics

journal contribution
posted on 2024-11-02, 10:29 authored by Qiming Zhang, Haoyi Yu, Martina Barbiero, Baokai Wang, Min GuMin Gu
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 light–matter 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.

Funding

Optically-activatable nanolithography for ultralow energy long data storage

Australian Research Council

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History

Journal

Light: Science and Applications

Volume

8

Number

42

Issue

1

Start page

1

End page

14

Total pages

14

Publisher

Springer Nature

Place published

United Kingdom

Language

English

Copyright

© The Author(s) 2019. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License

Former Identifier

2006091713

Esploro creation date

2020-06-22

Fedora creation date

2019-07-08

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