Artificial neural networks enabled by nanophotonics.
Integrated optics
Laser material processing
Journal
Light, science & applications
ISSN: 2047-7538
Titre abrégé: Light Sci Appl
Pays: England
ID NLM: 101610753
Informations de publication
Date de publication:
2019
2019
Historique:
received:
12
11
2018
revised:
07
03
2019
accepted:
26
03
2019
entrez:
18
5
2019
pubmed:
18
5
2019
medline:
18
5
2019
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 31098012
doi: 10.1038/s41377-019-0151-0
pii: 151
pmc: PMC6504946
doi:
Types de publication
Journal Article
Langues
eng
Pagination
42Déclaration de conflit d'intérêts
The authors declare that they have no conflict of interest.
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