Web: http://arxiv.org/abs/2205.09103

June 24, 2022, 1:11 a.m. | Liane Bernstein, Alexander Sludds, Christopher Panuski, Sivan Trajtenberg-Mills, Ryan Hamerly, Dirk Englund

cs.LG updates on arXiv.org arxiv.org

As deep neural networks (DNNs) grow to solve increasingly complex problems,
they are becoming limited by the latency and power consumption of existing
digital processors. For improved speed and energy efficiency, specialized
analog optical and electronic hardware has been proposed, however, with limited
scalability (input vector length $K$ of hundreds of elements). Here, we present
a scalable, single-shot-per-layer analog optical processor that uses free-space
optics to reconfigurably distribute an input vector and integrated
optoelectronics for static, updatable weighting and the …

arxiv network neural neural network

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