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research article

Inference in artificial intelligence with deep optics and photonics

Wetzstein, Gordon
•
Ozcan, Aydogan
•
Gigan, Sylvain
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December 3, 2020
Nature

Artificial intelligence tasks across numerous applications require accelerators for fast and low-power execution. Optical computing systems may be able to meet these domain-specific needs but, despite half a century of research, general-purpose optical computing systems have yet to mature into a practical technology. Artificial intelligence inference, however, especially for visual computing applications, may offer opportunities for inference based on optical and photonic systems. In this Perspective, we review recent work on optical computing for artificial intelligence applications and discuss its promise and challenges.

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Type
research article
DOI
10.1038/s41586-020-2973-6
Web of Science ID

WOS:000595839600008

Author(s)
Wetzstein, Gordon
Ozcan, Aydogan
Gigan, Sylvain
Fan, Shanhui
Englund, Dirk
Soljacic, Marin
Denz, Cornelia
Miller, David A. B.
Psaltis, Demetri  
Date Issued

2020-12-03

Publisher

NATURE RESEARCH

Published in
Nature
Volume

588

Issue

7836

Start page

39

End page

47

Subjects

Multidisciplinary Sciences

•

Science & Technology - Other Topics

•

neural-networks

•

recognition

•

implementation

•

microscopy

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LO  
Available on Infoscience
December 16, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/174099
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