Inference in artificial intelligence with deep optics and photonics

Gordon Wetzstein, Aydogan Ozcan, Sylvain Gigan, Shanhui Fan, Dirk Englund, Marin Soljačić, Cornelia Denz, David A.B. Miller, Demetri Psaltis

Research output: Contribution to journalArticlepeer-review

162 Scopus citations

Abstract

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.
Original languageEnglish (US)
Pages (from-to)39-47
Number of pages9
JournalNature
Volume588
Issue number7836
DOIs
StatePublished - Dec 2 2020
Externally publishedYes

ASJC Scopus subject areas

  • General

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