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Aydogan Ozcan's UCLA group has taken full advantage of the inherent parallelization capability of optics and significantly improved the inference and generalization performance of diffractive optical neural networks, helping to close the gap between all-optical and the standard electronic neural networks
New Design Advances Optical Neural Networks that Compute at the Speed of Light Using Engineered Matter
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