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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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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. |
format | Online Article Text |
id | pubmed-6504946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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