Abstract

Co-integrated neuromorphic photonic and electronic processors promise orders of magnitude improvements in both speed and energy efficiency over purely digital electronic approaches. We discuss neuromorphic photonic systems and their application to deep convolutional neural networks inference.

Keywords:
Neuromorphic engineering Photonics Computer science Convolutional neural network Computer architecture Deep learning Artificial intelligence Inference Artificial neural network Efficient energy use Physics Optoelectronics Electrical engineering Engineering

Metrics

2
Cited By
0.31
FWCI (Field Weighted Citation Impact)
19
Refs
0.67
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Neural Networks and Reservoir Computing
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Memory and Neural Computing
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Optical Network Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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