Neuromorphic photonics for real-time applications

Paul R. Prucnal; Thomas Ferreira de Lima

doi:10.1117/12.2571477

20 August 2020 Neuromorphic photonics for real-time applications

Paul R. Prucnal, Thomas Ferreira de Lima

Proceedings Volume 11469, Emerging Topics in Artificial Intelligence 2020; 114690L (2020) https://doi.org/10.1117/12.2571477
Event: SPIE Nanoscience + Engineering, 2020, Online Only

Abstract

This presentation will discuss demonstrations of real-time operation of photonic neural networks going beyond machine learning applications. It contains a review of how a wavelength-based neuron can be implemented using silicon photonics. We discuss three application examples: principal component analysis for blind source separation, fiber nonlinearity compensation in long-haul communication systems and ODE system solving in real-time.

Conference Presentation

Citation Download Citation

Paul R. Prucnal and Thomas Ferreira de Lima "Neuromorphic photonics for real-time applications", Proc. SPIE 11469, Emerging Topics in Artificial Intelligence 2020, 114690L (20 August 2020); https://doi.org/10.1117/12.2571477

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