| Literature DB >> 33268862 |
Gordon Wetzstein1, Aydogan Ozcan2, Sylvain Gigan3, Shanhui Fan4, Dirk Englund5, Marin Soljačić5, Cornelia Denz6, David A B Miller4, Demetri Psaltis7.
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.Year: 2020 PMID: 33268862 DOI: 10.1038/s41586-020-2973-6
Source DB: PubMed Journal: Nature ISSN: 0028-0836 Impact factor: 49.962