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Extending the Processing Power of Optical Computing

Modern neural networks mostly use linear operations like convolutions and matrix-vector multiplications. Although there are specialist processors for these tasks, like as GPUs and TPUs, their power and bandwidth are limited.

Performing complex-valued linear transformations using spatially incoherent diffractive optical networks

Performing complex-valued linear transformations using spatially incoherent diffractive optical networks
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New method for addressing the reliability challenges of neural networks in inverse imaging problems

New method for addressing the reliability challenges of neural networks in inverse imaging problems
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