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Artificial neural networks enabled by nanophotonics

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...

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Detalles Bibliográficos
Autores principales: Zhang, Qiming, Yu, Haoyi, Barbiero, Martina, Wang, Baokai, Gu, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6504946/
https://www.ncbi.nlm.nih.gov/pubmed/31098012
http://dx.doi.org/10.1038/s41377-019-0151-0
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author Zhang, Qiming
Yu, Haoyi
Barbiero, Martina
Wang, Baokai
Gu, Min
author_facet Zhang, Qiming
Yu, Haoyi
Barbiero, Martina
Wang, Baokai
Gu, Min
author_sort Zhang, Qiming
collection PubMed
description 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.
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spelling pubmed-65049462019-05-16 Artificial neural networks enabled by nanophotonics Zhang, Qiming Yu, Haoyi Barbiero, Martina Wang, Baokai Gu, Min Light Sci Appl Review Article 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. Nature Publishing Group UK 2019-05-08 /pmc/articles/PMC6504946/ /pubmed/31098012 http://dx.doi.org/10.1038/s41377-019-0151-0 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Review Article
Zhang, Qiming
Yu, Haoyi
Barbiero, Martina
Wang, Baokai
Gu, Min
Artificial neural networks enabled by nanophotonics
title Artificial neural networks enabled by nanophotonics
title_full Artificial neural networks enabled by nanophotonics
title_fullStr Artificial neural networks enabled by nanophotonics
title_full_unstemmed Artificial neural networks enabled by nanophotonics
title_short Artificial neural networks enabled by nanophotonics
title_sort artificial neural networks enabled by nanophotonics
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6504946/
https://www.ncbi.nlm.nih.gov/pubmed/31098012
http://dx.doi.org/10.1038/s41377-019-0151-0
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