Wave physics as an analog recurrent neural network-Reference-Cited by-同舟云学术

Wave physics as an analog recurrent neural network

Published:2019-12-06 Issue:12 Volume:5 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Hughes Tyler W.¹^ORCID,Williamson Ian A. D.²^ORCID,Minkov Momchil²^ORCID,Fan Shanhui²^ORCID

Affiliation:

1. Department of Applied Physics, Stanford University, Stanford, CA 94305, USA.

2. Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA.

Abstract

Analog machine learning computations are performed passively by propagating light and sound waves through programmed materials.

Funder

U.S. Department of Defense

Gordon and Betty Moore Foundation

U.S. Air Force

Swiss National Science Foundation

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference43 articles.

1. ImageNet Large Scale Visual Recognition Challenge

2. I. Sutskever O. Vinyals Q. V. Le Sequence to sequence learning with neural networks in Advances in Neural Information Processing Systems NIPS Proceedings Montreal CA 2014.

3. Superconducting optoelectronic circuits for neuromorphic computing;Shainline J. M.;Phys. Rev. Appl.,2017

4. Neuromorphic photonic networks using silicon photonic weight banks;Tait A. N.;Sci. Rep.,2017

5. Vowel recognition with four coupled spin-torque nano-oscillators;Romera M.;Nature,2018

Cited by 198 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning in computational mechanics: a review;Computational Mechanics;2024-01-13

2. In‐Sensor Passive Speech Classification with Phononic Metamaterials;Advanced Functional Materials;2024-01-09

3. Neuromorphic models applied to photonics;Neuromorphic Photonic Devices and Applications;2024

4. 3D neuromorphic photonics;Neuromorphic Photonic Devices and Applications;2024

5. Perspective on photonic neuromorphic computing;Neuromorphic Photonic Devices and Applications;2024