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
Citations
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A Silicon Photonic Accelerator for Convolutional Neural Networks with Heterogeneous Quantization
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Mathematical operations and equation solving with reconfigurable metadevices
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Addressing limited weight resolution in a fully optical neuromorphic reservoir computing readout.
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On-Chip Nonreciprocal Photonic Devices Based on Hybrid Integration of Magneto-Optical Garnet Thin Films on Silicon
TL;DR: In this article , the authors review the progress of on-chip non-reciprocal photonic devices based on hybrid integration of magneto-optical (MO) thin films on silicon.
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Ultrafast machine vision with artificial neural network devices based on a GaN-based micro-LED array
TL;DR: In this paper, the authors measured the characteristics of micro-LED based photodetector experimentally and proposed a feasible simulation of a novel artificial neural network (ANN) device for the first time.
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