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Inference in artificial intelligence with deep optics and photonics.
Wetzstein, Gordon; Ozcan, Aydogan; Gigan, Sylvain; Fan, Shanhui; Englund, Dirk; Soljacic, Marin; Denz, Cornelia; Miller, David A B; Psaltis, Demetri.
Afiliação
  • Wetzstein G; Stanford University, Stanford, CA, USA. gordon.wetzstein@stanford.edu.
  • Ozcan A; University of California, Los Angeles, Los Angeles, CA, USA.
  • Gigan S; Laboratoire Kastler Brossel, Sorbonne Université, École Normale Supérieure, Collège de France, CNRS UMR 8552, Paris, France.
  • Fan S; Stanford University, Stanford, CA, USA.
  • Englund D; Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Soljacic M; Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Denz C; University of Münster, Münster, Germany.
  • Miller DAB; Stanford University, Stanford, CA, USA.
  • Psaltis D; École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Nature ; 588(7836): 39-47, 2020 12.
Article em En | MEDLINE | ID: mdl-33268862
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article