Optical coherent dot-product chip for sophisticated deep learning regression
Optical coherent dot-product chip for sophisticated deep learning regression
About this item
Full title
Author / Creator
Xu, Shaofu , Wang, Jing , Shu, Haowen , Zhang, Zhike , Yi, Sicheng , Bai, Bowen , Wang, Xingjun , Liu, Jianguo and Zou, Weiwen
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
Optical implementations of neural networks (ONNs) herald the next-generation high-speed and energy-efficient deep learning computing by harnessing the technical advantages of large bandwidth and high parallelism of optics. However, due to the problems of the incomplete numerical domain, limited hardware scale, or inadequate numerical accuracy, the...
Alternative Titles
Full title
Optical coherent dot-product chip for sophisticated deep learning regression
Authors, Artists and Contributors
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_d944f037040443c4a5d9ce6602ad1761
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d944f037040443c4a5d9ce6602ad1761
Other Identifiers
ISSN
2047-7538,2095-5545
E-ISSN
2047-7538
DOI
10.1038/s41377-021-00666-8
