光子神经网络应用

2021 Photonics North (PN) Pub Date : 2021-05-31 DOI:10.1109/PN52152.2021.9597894

B. Shastri, C. Huang, A. Tait, T. F. de Lima, P. Prucnal

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引用次数: 0

摘要

集成光学神经网络(数百个神经元)比电子实现(数千万个神经元)要小得多。然而，光学的带宽和互连密度明显优于电子学。这就提出了一个问题:在哪些应用程序中，亚纳秒级的延迟和能源效率胜过处理器的大小?本讲座将讨论光子神经网络在计算、通信和信号处理中的应用。

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Photonic Neural Networks Applications

Integrated optical neural networks are much smaller (hundreds of neurons) than electronic implementations (tens of millions of neurons). However, the bandwidth and interconnect density in optics is significantly superior to that in electronics. This raises a question: what are the applications where sub-nanosecond latencies and energy efficiency trump the sheer size of processor? This talk will discuss of photonic neural networks in computing, communication, and signal processing.

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2021 Photonics North (PN)

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