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Artificial neural networks enabled by nanophotonics

2019; Springer Nature; Volume: 8; Issue: 1 Linguagem: Inglês

10.1038/s41377-019-0151-0

2095-5545

Qiming Zhang, Haoyi Yu, Martina Barbiero, Baokai Wang, Miṅ Gu,

Advanced Memory and Neural Computing

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 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.