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In-sensor computing for machine vision

An image-sensor array has been developed that acts as its own artificial neural network to capture and identify optical images simultaneously, processing the information rapidly without needing to convert it to a digital format.
  1. Yang Chai

    1. Yang Chai is in the Department of Applied Physics, Hong Kong Polytechnic University, Kowloon, Hong Kong, P. R. China.

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Sight is one of our most vital senses. Biologically inspired machine vision has developed rapidly in the past decade, to the point that artificial systems can ‘see’ in the sense of gaining valuable information from images and videos1,2, although human vision remains much more efficient. Writing in Nature, Mennel et al.3 report a design for a visual system that, rather like the brain, can be trained to classify simple images in nanoseconds.

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Nature 579, 32-33 (2020)

doi: https://doi.org/10.1038/d41586-020-00592-6

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