Add to BibSonomyAbstract
Broadband diffractive neural networks that process a continuum of wavelengths for task- specific component design and all-optical inference are presented. This framework is experimentally demonstrated by designing spectral filters and a spatially-controlled demultiplexer at THz wavelengths.
© 2020 The Author(s)
PDF Article | Presentation VideoMore Like This
Improving the Inference Accuracy of Diffractive Optical Neural Networks Using Class-specific Differential Detection
Jingxi Li, Deniz Mengu, Yi Luo, Yair Rivenson, and Aydogan Ozcan
SM1E.3 CLEO: Science and Innovations (CLEO:S&I) 2020
Integration of Diffractive Optical Neural Networks with Electronic Neural Networks
Deniz Mengu, Yi Luo, Yair Rivenson, and Aydogan Ozcan
STh4M.2 CLEO: Science and Innovations (CLEO:S&I) 2020
Deep Learning-designed Diffractive Neural Networks
Xing Lin, Yair Riverson, Nezih T. Yardimci, Muhammed Veli, Yi Luo, Mona Jarrahi, and Aydogan Ozcan
SF1N.2 CLEO: Science and Innovations (CLEO:S&I) 2019