Intelligent neuromorphic computing based on nanophotonics and metamaterials-Reference-Cited by-同舟云学术

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Intelligent neuromorphic computing based on nanophotonics and metamaterials

Published:2024-02-08 Issue: Volume: Page:
ISSN:2159-6867
Container-title:MRS Communications
language:en
Short-container-title:MRS Communications

Author:

Ma Qian^ORCID,Gao Xinxin,Gu Ze,Liu Che,Li Lianlin,You Jian Wei,Cui Tie Jun

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Major Project of Natural Science Foundation of Jiangsu Province

State Key Laboratory of Millimeter Waves, Southeast University

Fundamental Research Funds for the Central Universities

111 Project

China Postdoctoral Science Foundation

Young Elite Scientists Sponsorship Program by CAST

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1557/s43579-024-00520-z.pdf

Reference97 articles.

1. D. Silver et al., Mastering the game of Go with deep neural networks and tree search. Nature 529, 484–489 (2016)

2. E.A. Van Dis, J. Bollen, W. Zuidema, R. van Rooij, C.L. Bockting, ChatGPT: five priorities for research. Nature 614, 224–226 (2023)

3. T. Brown et al., Language models are few-shot learners. Adv. Neural. Inf. Process. Syst. 33, 1877–1901 (2020)

4. X. Xu et al., Self-calibrating programmable photonic integrated circuits. Nat. Photon. 16, 595–602 (2022). https://doi.org/10.1038/s41566-022-01020-z

5. J. Feldmann et al., Parallel convolutional processing using an integrated photonic tensor core. Nature 589, 52–58 (2021). https://doi.org/10.1038/s41586-020-03070-1

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