推论
计算机科学
人工智能
人工智能应用
光学计算
光子学
透视图(图形)
数据科学
光学
物理
工程类
电子工程
作者
Gordon Wetzstein,Aydogan Ozcan,Sylvain Gigan,Shanhui Fan,Dirk Englund,Marin Soljačić,Cornélia Denz,David A. B. Miller,Demetri Psaltis
出处
期刊:Nature
[Springer Nature]
日期:2020-12-02
卷期号:588 (7836): 39-47
被引量:407
标识
DOI:10.1038/s41586-020-2973-6
摘要
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.
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