Artificial photonic neural networks (Conference Presentation)

Wolfram H. P. Pernice

doi:10.1117/12.2545601

9 March 2020 Artificial photonic neural networks (Conference Presentation)

Wolfram H. P. Pernice

Proceedings Volume 11284, Smart Photonic and Optoelectronic Integrated Circuits XXII; 1128409 (2020) https://doi.org/10.1117/12.2545601
Event: SPIE OPTO, 2020, San Francisco, California, United States

Abstract

Software-implementation of brain-inspired computing approaches underlie many important modern-day computational tasks. Yet, traditional computing architectures physically separate the core computing functions of memory and processing. I will present an all-optical approach to overcome these restrictions by developing photonic spiking neurons interconnected via an integrated photonics network to photonic synapses. I will present our results in scaling to multi-element circuits and report on their optical performance in pattern recognition and data storage. Photonic implementations give access to the speed, bandwidth and power improvements inherent to optical systems, which will be attractive for the direct processing of data in the optical domain.

Conference Presentation

Citation Download Citation

Wolfram H. P. Pernice "Artificial photonic neural networks (Conference Presentation)", Proc. SPIE 11284, Smart Photonic and Optoelectronic Integrated Circuits XXII, 1128409 (9 March 2020); https://doi.org/10.1117/12.2545601

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