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5 March 2021 A photonic accelerator for large-scale artificial neural networks
Sean Pang, Guifang Li
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Proceedings Volume 11703, AI and Optical Data Sciences II; 117030F (2021) https://doi.org/10.1117/12.2582634
Event: SPIE OPTO, 2021, Online Only
Abstract
In the post-Moore’s law era, dedicated digital accelerators have played an indispensable role in the success of artificial neural networks (ANNs) and their applications in artificial intelligence (AI). As the complexity of ANNS grows, analog electrical and optical computing are being considered as alternatives for achieving sustainable scalability and energy efficiency. In this talk we will present photonic accelerators that can potentially provide orders of magnitude increases in scalability and energy efficiency towards brain-like AI with hundred billion-neuron neural processing power.
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Sean Pang and Guifang Li "A photonic accelerator for large-scale artificial neural networks", Proc. SPIE 11703, AI and Optical Data Sciences II, 117030F (5 March 2021); https://doi.org/10.1117/12.2582634
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KEYWORDS
Artificial neural networks
Artificial intelligence
Digital electronics
Data processing
Matrix multiplication
Parallel processing
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