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Proceedings Paper

Size scalable integration of photonic neural networks (Conference Presentation)
Author(s): Jhonny Moughames; Javier Porte; Michael Thiel; Muamer Kadic; Daniel Brunner

Paper 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.

Paper Details

Date Published: 9 March 2020
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Proc. SPIE 11274, Physics and Simulation of Optoelectronic Devices XXVIII, 112740C (9 March 2020);
Show Author Affiliations
Jhonny Moughames, FEMTO-ST (France)
Javier Porte, FEMTO-ST (France)
Michael Thiel, Nanoscribe GmbH (Germany)
Muamer Kadic, FEMTO-ST (France)
Daniel Brunner, FEMTO-ST (France)


Published in SPIE Proceedings Vol. 11274:
Physics and Simulation of Optoelectronic Devices XXVIII
Bernd Witzigmann; Marek Osiński; Yasuhiko Arakawa, Editor(s)

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