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13 March 2024 Learning with complex optics: from optical nonlinear data encoder to optics-augmented neural networks
Fei Xia
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Proceedings Volume PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences; PC128570N (2024) https://doi.org/10.1117/12.3012054
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
In this talk, we will report two of our recent progresses on intersection between complex optics and machine learning. We will first talk about the work on how a multiple-scattering cavity can be harnessed as a nonlinear optical data encoder for ultra-fast and parallel information processing. Then we will discuss how complex optics can be exploitted to build reconfigurable and trainable optical neural networks. We demonstrate our work on performing machine learning tasks on both industry and scientific datasets.
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Fei Xia "Learning with complex optics: from optical nonlinear data encoder to optics-augmented neural networks", Proc. SPIE PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences, PC128570N (13 March 2024); https://doi.org/10.1117/12.3012054
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KEYWORDS
Nonlinear optics
Machine learning
Neural networks
Optical encoders
Data processing
Education and training
Industry
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