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Authors: P. Bienstman, J. Dambre, A. Katumba, M. Freiberger, F. Laporte, A. Lugnan
Title: Photonic reservoir computing: a brain-inspired approach for information processing
Format: International Conference Proceedings
Publication date: 3/2018
Journal/Conference/Book: The Optical Fiber Communication Conference (OFC) (invited)
Editor/Publisher: Optical Society of America, 
Volume(Issue): p.paper M4F.4 (3 pages)
Location: San Diego, United States
DOI: 10.1364/OFC.2018.M4F.4
Citations: 3 ( - last update: 16/6/2024)
1 (OpenCitations - last update: 19/4/2024)
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We present our latest results on silicon photonics neuromorphic information processing
based on techniques like reservoir computing. We will discuss aspects like scalability,
novel architectures for enhanced power efficiency, as well as all-optical readout. Additionally,
we will touch upon new machine learning techniques to operate these integrated readouts.

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