Bienstman, PeterDambre, JoniKatumba, AndrewFreiberger, MatthiasLaporte, FlorisLugnan, Alessio2022-12-012022-12-012018Peter Bienstman, Joni Dambre, Andrew Katumba, Matthias Freiberger, Floris Laporte, 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: 10.1117/12.228439110.1117/12.2284391https://nru.uncst.go.ug/handle/123456789/5632We 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 e ciency, 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.enPhotonic neuromorphic information processingReservoir computingOther