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Authors: S. Sackesyn, C. Ma, A. Katumba, F. Denis-le Coarer, J. Dambre, P. Bienstman
Title: A power-efficient architecture for silicon photonic reservoir computing
Format: International Conference Presentation
Publication date: Accepted for publication. Not yet published
Journal/Conference/Book: IEEE Photonics Society Benelux Chapter Annual Symposium 2019
Location: Amsterdam, Netherlands
Citations: Look up on Google Scholar

Abstract

Reservoir computing is a neuromorphic computing paradigm which is well suited for hardware implementations. In this work, an enhanced reservoir architecture is introduced as to lower the losses and improve mixing behavior in silicon photonic reservoir computing designs.

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