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Nanophotonic Processor Uses Optics to Speed Deep Learning Computations

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CAMBRIDGE, Mass., June 16, 2017 — Using light instead of electricity to power neural networks could improve the speed and efficiency of certain deep learning computations, especially tasks that involve repeated multiplications of matrices that can be computationally intensive for conventional CPU or GPU chips. This futuristic drawing shows programmable nanophotonic processors integrated on a printed circuit board and carrying out deep learning computing. Courtesy of RedCube Inc. and the researchers. While many proposed uses of photonic computers for deep learning have proven impractical, a light-based neural-network...Read full article

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