Reconfigurable optical neural networks with Plug-and-Play metasurfaces

被引：0

作者：

Yongmin Liu ^{[1
,2
]}

Yuxiao Li ^{[2
]}

机构：

[1] Department of Mechanical and Industrial Engineering,Northeastern University

[2] Department of Electrical and Computer Engineering,Northeastern University

来源：

Opto-ElectronicAdvances | 2024年 / 7卷 / 07期

关键词：

D O I：

暂无

中图分类号：

TP183 [人工神经网络与计算];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

<正>In a very recent study, Prof. Lingling Huang and co-workers proposed and demonstrated reconfigurable optical neural networks based on cascaded metasurfaces. By fixing one metasurface and switching the other pluggable metasurfaces,the neural networks, which operate at near-infrared wavelengths, can perform distinct recognition tasks for handwritten digits and fashion products. This innovative device opens up an avenue for all-optical, high-speed, low-power, and multi-functional artificial intelligence systems.

引用

页码：24 / 26

页数：3

共 3 条

[1]

Pluggable multitask diffractive neural networks based on cascaded metasurfaces[J] Cong He;Dan Zhao;Fei Fan;Hongqiang Zhou;Xin Li;Yao Li;Junjie Li;Fei Dong;Yin-Xiao Miao;Yongtian Wang;Lingling Huang; Opto-Electronic Advances 2024, 02

[2]

Pushing the limits of functionality-multiplexing capability in metasurface design based on statistical machine learning.[J] Ma Wei;Xu Yihao;Xiong Bo;Deng Lin;Peng RuWen;Wang Mu;Liu Yongmin Advanced materials (Deerfield Beach; Fla.) 2022,

[3]

Neural Networks and Deep Learning[J] 2018,

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