Size scalable integration of photonic neural networks (Conference Presentation)

Jhonny Moughames; Javier Porte; Michael Thiel; Muamer Kadic; Daniel Brunner

doi:10.1117/12.2551142

9 March 2020 Size scalable integration of photonic neural networks (Conference Presentation)

Jhonny Moughames, Javier Porte, Michael Thiel, Muamer Kadic, Daniel Brunner

Proceedings Volume 11274, Physics and Simulation of Optoelectronic Devices XXVIII; 112740C (2020) https://doi.org/10.1117/12.2551142
Event: SPIE OPTO, 2020, San Francisco, California, United States

Abstract

Photonic systems are candidates for next generation neural networks, promising to boost energy efficiency and speed via optical vector matrix multiplication. We will introduce the first scalable neural network integration strategy, demonstrating a network for 999 neurons in 0.36 mm^2.

Conference Presentation

Citation Download Citation

Jhonny Moughames, Javier Porte, Michael Thiel, Muamer Kadic, and Daniel Brunner "Size scalable integration of photonic neural networks (Conference Presentation)", Proc. SPIE 11274, Physics and Simulation of Optoelectronic Devices XXVIII, 112740C (9 March 2020); https://doi.org/10.1117/12.2551142

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KEYWORDS

Neural networks

Energy efficiency

Matrix multiplication

Neurons

Photonics systems

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