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Accueil > Animation de la recherche > Séminaires transversaux > Séminaires transversaux 2022

[ICE] Seminaire ICE, jeudi 7 avril a 14h : "Machine learning at the speed of light"

Le prochain séminaire mensuel du département "Information, Communications, Electronique" d’IP Paris aura lieu jeudi 7 avril, à 14h.
Vous trouverez ci-dessous le thème du séminaire ainsi qu’une biographie de l’orateur.

Le séminaire se tiendra en distanciel :
https://telecom-paris.zoom.us/j/94362079366?pwd=M1pMOU5DOXQ2bmtOSTYrUEpvU1NtUT09

Machine learning at the speed of light
Dr. Piotr ANTONIK
Associate Professor, LMOPS EA-4423, CentraleSupélec, Metz
Jeudi 7 avril à 14h

Abstract
Photonics has long been considered an attractive substrate for the next generation of computing and machine learning. Reservoir computing significantly simplified the implementation of artificial neural networks in analogue hardware. In this seminar, we will review the motivation for photonic computing and discuss the basic principles of reservoir computing. We will illustrate the concepts through several opto-electronic implementations of reservoir computing, such as large-scale systems with high computational power and time-delay dynamical systems with high processing speed. We will show how these systems perform on challenging machine learning tasks such as handwritten digits recognition, human action recognition in videos, pattern generation and emulation of chaotic systems.

Bio
Dr. Piotr ANTONIK was born in Minsk, Belarus, in 1989. He graduated in physics from the Université libre de Bruxelles (Brussels, Belgium) in 2013 and defended his PhD in 2017 under the direction of Prof. S. Massar. During his PhD, he studied implementations of machine learning methods in photonic systems.
His PhD thesis won the Springer Theses Award and was published in the Springer Theses collection.
In October 2018, he obtained a permanent position of Associate Professor at CentraleSupélec, Metz Campus, with the LMOPS EA-4423. His research activities combine machine learning, photonics, and FPGA programming, with applications in telecommunications, computer vision and biomedical imaging.