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Inference in artificial intelligence with deep optics and photonics.

Gordon WetzsteinAydogan OzcanSylvain GiganShanhui FanDirk R EnglundMarin SoljačićCornelia DenzDavid A B MillerDemetri Psaltis
Published in: Nature (2020)
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.
Keyphrases
  • artificial intelligence
  • big data
  • high speed
  • machine learning
  • high resolution
  • deep learning
  • single cell
  • working memory
  • mass spectrometry