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Creators/Authors contains: "Li, Gordon HY"

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  1. ; ; ; ; ; (, Optica Publishing Group)
    We experimentally demonstrate an end-to-end all-optical recurrent neural net-work utilizing short laser pulses and ultrafastĪ‡(2)nonlinear optics to unlock unprecedented computational clock rates and massively parallel information processing for time-series classification and prediction tasks. 
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  2. ; ; ; ; ; ; (, Optica Publishing Group)
    We experimentally demonstrate a recurrent optical neural network based on a nanophotonic optical parametric oscillator fabricated on thin-film lithium niobate. Our demonstration paves the way for realizing optical neural networks exhibiting ultra-low la-tencies. 
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  3. ; ; ; ; ; (, Optica Publishing Group)
    Neural networks based on Cellular Automata (CA) have recently yielded more robust, reliable, and parameter-efficient machine learning models. We experimentally demonstrate the first photonic implementation of CA which successfully performs image classification on the Fashion-MNIST dataset. 
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