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SUMMARY:IEM Distinguished Lecturers Seminar: Large scale Optical Machine L
 earning exploiting multiple scattering
DTSTART:20240419T131500
DTEND:20240419T140000
DTSTAMP:20260916T165503Z
UID:f56c84953ae494d3f2dc365c66f684b142b03aa68b99b93a4f291ea8
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Sylvain Gigan\,\nLaboratoire Kastler-Brossel\, Sorbonne 
 Université\, Paris\, France\nThe seminar will take place in the main audi
 torium in Neuchâtel Campus (MC A1 272) and will be simultaneously broad
 casted in ELA 1.\n\nCoffee and cookies will be served at 13:00 before the 
 seminar\, next to the two auditoriums. \n\n\nAbstract\nOptics opens excit
 ing perspectives for low energy and ultrafast information processing. In M
 achine Learning\, optics is naturally well suited to implement layers of n
 eural networks. However\, most demonstrations of optical machine learning 
 to date are limited to limited size\, single layer networks\, and to rela
 tively simple tasks. I will show how multiple scattering of light allows p
 erforming optically a key operation in machine learning: large scale rando
 m matrix multiplication\, and discuss how we can extend this concept beyon
 d single layers operations\, and to modern machine learning tasks. \n\nBi
 o\nSylvain Gigan is Professor of Physics at Sorbonne Université in Paris\
 , and group leader in Laboratoire Kastler-Brossel\, at Ecole Normale Supé
 rieure (ENS\, Paris). His research interests focus on light propagation in
  complex media\, and range from fundamental investigations\, biomedical im
 aging\, computational imaging\, signal processing\, to quantum information
 . He is also the cofounder of a spin-off: LightOn (www.lighton.ai) develop
 ing optical computing solutions for machine learning.
LOCATION:MC A1 272 https://plan.epfl.ch/?room==MC%20A1%20272 https://epfl.
 zoom.us/j/67317987786
STATUS:CONFIRMED
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