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Inference in artificial intelligence with deep optics and photonics
by
Ozcan, Aydogan
, Gigan, Sylvain
, Miller, David A. B.
, Wetzstein, Gordon
, Psaltis, Demetri
, Fan, Shanhui
, Englund, Dirk
, Denz, Cornelia
, Soljačić, Marin
in
Accelerators
/ Algorithms
/ Artificial intelligence
/ Circuits
/ Computation
/ Humanities and Social Sciences
/ Inference
/ Internet of Things
/ Machine learning
/ multidisciplinary
/ Neural networks
/ Neurons
/ Optics
/ Perspective
/ Photonics
/ Science
/ Science (multidisciplinary)
/ Silicon
2020
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Inference in artificial intelligence with deep optics and photonics
by
Ozcan, Aydogan
, Gigan, Sylvain
, Miller, David A. B.
, Wetzstein, Gordon
, Psaltis, Demetri
, Fan, Shanhui
, Englund, Dirk
, Denz, Cornelia
, Soljačić, Marin
in
Accelerators
/ Algorithms
/ Artificial intelligence
/ Circuits
/ Computation
/ Humanities and Social Sciences
/ Inference
/ Internet of Things
/ Machine learning
/ multidisciplinary
/ Neural networks
/ Neurons
/ Optics
/ Perspective
/ Photonics
/ Science
/ Science (multidisciplinary)
/ Silicon
2020
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Do you wish to request the book?
Inference in artificial intelligence with deep optics and photonics
by
Ozcan, Aydogan
, Gigan, Sylvain
, Miller, David A. B.
, Wetzstein, Gordon
, Psaltis, Demetri
, Fan, Shanhui
, Englund, Dirk
, Denz, Cornelia
, Soljačić, Marin
in
Accelerators
/ Algorithms
/ Artificial intelligence
/ Circuits
/ Computation
/ Humanities and Social Sciences
/ Inference
/ Internet of Things
/ Machine learning
/ multidisciplinary
/ Neural networks
/ Neurons
/ Optics
/ Perspective
/ Photonics
/ Science
/ Science (multidisciplinary)
/ Silicon
2020
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Inference in artificial intelligence with deep optics and photonics
Journal Article
Inference in artificial intelligence with deep optics and photonics
2020
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Overview
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.
Recent work on optical computing for artificial intelligence applications is reviewed and the potential and challenges of all-optical and hybrid optical networks are discussed.
Publisher
Nature Publishing Group UK,Nature Publishing Group
Subject
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