Integrated Photonic Neural Networks: Opportunities and Challenges-Reference-Cited by-同舟云学术

Integrated Photonic Neural Networks: Opportunities and Challenges

Published:2023-02-07 Issue:7 Volume:10 Page:2001-2010
ISSN:2330-4022
Container-title:ACS Photonics
language:en
Short-container-title:ACS Photonics

Author:

Liao Kun¹^ORCID,Dai Tianxiang¹^ORCID,Yan Qiuchen¹,Hu Xiaoyong¹²³^ORCID,Gong Qihuang¹²³

Affiliation:

1. State Key Laboratory for Mesoscopic Physics and Department of Physics, Collaborative Innovation Center of Quantum Matter, Beijing Academy of Quantum Information Sciences, Nano-optoelectronics Frontier Center of Ministry of Education, Peking University, Beijing 100871, China

2. Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan, Shanxi 030006, China

3. Peking University Yangtze Delta Institute of Optoelectronics, Nantong, Jiangsu 226010, China

Funder

Ministry of Science and Technology of the People's Republic of China

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Biotechnology,Electronic, Optical and Magnetic Materials

Link

https://pubs.acs.org/doi/pdf/10.1021/acsphotonics.2c01516

Reference98 articles.

1. Artificial neural networks: a tutorial

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3. Review of Neural Networks for Speech Recognition

4. Speech Recognition Using Deep Neural Networks: A Systematic Review

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