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Parallel convolutional processing using an integrated photonic tensor core

Abstract:

With the proliferation of ultrahigh-speed mobile networks and internet-connected devices, along with the rise of artificial intelligence (AI)1, the world is generating exponentially increasing amounts of data that need to be processed in a fast and efficient way. Highly parallelized, fast and scalable hardware is therefore becoming progressively more important2. Here we demonstrate a computationally specific integrated photonic hardware accelerator (tensor core) that is capable of operating a...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41586-020-03070-1

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Materials
Role:
Author
Publisher:
Springer Nature Publisher's website
Journal:
Nature Journal website
Volume:
589
Pages:
52–58
Publication date:
2021-01-06
Acceptance date:
2020-10-12
DOI:
EISSN:
1476-4687
ISSN:
0028-0836
Language:
English
Keywords:
Subjects:
Pubs id:
1140059
Local pid:
pubs:1140059
Deposit date:
2020-10-28

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