Deep learning with coherent nanophotonic circuits
Yichen Shen,Nicholas C. Harris,Scott Skirlo,Dirk Englund,Marin Soljacic +4 more
- Vol. 11, Iss: 7, pp 441-446
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TLDR
A new architecture for a fully optical neural network is demonstrated that enables a computational speed enhancement of at least two orders of magnitude and three order of magnitude in power efficiency over state-of-the-art electronics.Abstract:
Artificial Neural Networks have dramatically improved performance for many machine learning tasks. We demonstrate a new architecture for a fully optical neural network that enables a computational speed enhancement of at least two orders of magnitude and three orders of magnitude in power efficiency over state-of-the-art electronics.read more
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Analogue computing with metamaterials
TL;DR: This Review surveys the basic principles, recent advances and promising future directions for wave-based-metamaterial analogue computing systems, and describes some of the most exciting applications suggested for these Computing metamaterials, including image processing, edge detection, equation solving and machine learning.
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Neuromorphic Photonic Integrated Circuits
Hsuan-Tung Peng,Mitchell A. Nahmias,Thomas Ferreira de Lima,Alexander N. Tait,Bhavin J. Shastri +4 more
TL;DR: A framework for understanding the underlying models, and a neuron-like processing device—an excitable laser—that has many favorable properties for integration with emerging photonic integrated circuit platforms are provided.
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Recent progress in analog memory-based accelerators for deep learning
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Fourier-space Diffractive Deep Neural Network.
Tao Yan,Jiamin Wu,Tiankuang Zhou,Hao Xie,Feng Xu,Jingtao Fan,Lu Fang,Xing Lin,Xing Lin,Qionghai Dai +9 more
TL;DR: The Fourier-space diffractive deep neural network (F-D^{2}NN) for all-optical image processing that performs advanced computer vision tasks at the speed of light is proposed.
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A light-stimulated synaptic device based on graphene hybrid phototransistor
Shuchao Qin,Fengqiu Wang,Yujie Liu,Qing Wan,Xinran Wang,Yongbing Xu,Yi Shi,Xiaomu Wang,Rong Zhang +8 more
TL;DR: A novel light-stimulated synaptic device based on a graphene-carbon nanotube hybrid phototransistor that can respond to optical stimuli in a highly neuron-like fashion and exhibits flexible tuning of both short- and long-term plasticity, which opens up a new opportunity for neural networks enabled by photonics.
References
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