Training large-scale optoelectronic neural networks with dual-neuron optical-artificial learning

Optoelectronic neural networks (ONN) are a promising avenue in AI computing due to their potential for parallelization, power efficiency, and speed. Diffractive neural networks, which process information by propagating encoded light through trained optical elements, have garnered interest. However,...

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Detalles Bibliográficos
Autores principales: Yuan, Xiaoyun, Wang, Yong, Xu, Zhihao, Zhou, Tiankuang, Fang, Lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625607/
https://www.ncbi.nlm.nih.gov/pubmed/37925451
http://dx.doi.org/10.1038/s41467-023-42984-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625607/
https://www.ncbi.nlm.nih.gov/pubmed/37925451
http://dx.doi.org/10.1038/s41467-023-42984-y

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