14 February 2018 Silicon photonics for neuromorphic information processing
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Abstract
We present our latest results on silicon photonics neuromorphic information processing based a.o. 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. Finally, we will show how these systems can be used for high-speed low-power information processing for applications like recognition of biological cells.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peter Bienstman, Peter Bienstman, Joni Dambre, Joni Dambre, Andrew Katumba, Andrew Katumba, Matthias Freiberger, Matthias Freiberger, Floris Laporte, Floris Laporte, Alessio Lugnan, Alessio Lugnan, } "Silicon photonics for neuromorphic information processing", Proc. SPIE 10551, Optical Data Science: Trends Shaping the Future of Photonics, 105510K (14 February 2018); doi: 10.1117/12.2284391; https://doi.org/10.1117/12.2284391
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