典型文献
Analog Optical Computing for Artificial Intelligence
文献摘要：
The rapid development of artificial intelligence(AI)facilitates various applications from all areas but also poses great challenges in its hardware implementation in terms of speed and energy because of the explosive growth of data.Optical computing provides a distinctive perspective to address this bottleneck by harnessing the unique properties of photons including broad bandwidth,low latency,and high energy efficiency.In this review,we introduce the latest developments of optical computing for different AI mod-els,including feedforward neural networks,reservoir computing,and spiking neural networks(SNNs).Recent progress in integrated photonic devices,combined with the rise of AI,provides a great opportunity for the renaissance of optical computing in practical applications.This effort requires multidisciplinary efforts from a broad community.This review provides an overview of the state-of-the-art accomplish-ments in recent years,discusses the availability of current technologies,and points out various remaining challenges in different aspects to push the frontier.We anticipate that the era of large-scale integrated photonics processors will soon arrive for practical AI applications in the form of hybrid optoelectronic frameworks.
文献关键词：
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作者姓名：
Jiamin Wu;Xing Lin;Yuchen Guo;Junwei Liu;Lu Fang;Shuming Jiao;Qionghai Dai
作者机构：
Department of Automation,Tsinghua University,Beijing 100084,China;Institute for Brain and Cognitive Science,Tsinghua University,Beijing 100084,China;Beijing National Research Center for Information Science and Technology,Tsinghua University,Beijing 100084,China;Beijing Innovation Center for Future Chips,Tsinghua University,Beijing 100084,China;Department of Electronic Engineering,Tsinghua University,Beijing 100084,China;Department of Physics,The Hong Kong University of Science and Technology,Hong Kong 999077,China;Peng Cheng Laboratory,Shenzhen 518055,China
文献出处：
引用格式：
[1]Jiamin Wu;Xing Lin;Yuchen Guo;Junwei Liu;Lu Fang;Shuming Jiao;Qionghai Dai-.Analog Optical Computing for Artificial Intelligence)[J].工程（英文）,2022(03):133-145
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AB值：
0.691104
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