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SUMMARY:IEM Distinguished Lecturers Seminar: Optical Computing Redux: Expl
 oiting Light Scattering for Machine Learning
DTSTART:20230331T131500
DTEND:20230331T140000
DTSTAMP:20260407T162509Z
UID:2b0fb20b5ae63643c7e51e586f980f80aef843d0d43c8b4df268be3f
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Sylvain Gigan\,\nLaboratoire Kastler-Brossel\, Sorbonne 
 Université\, Paris\, France\nAbstract\nLight propagation in complex media
 \, such as paint\, clouds\, or biological tissues\, is a very challenging 
 phenomenon\, encompassing fundamental aspects in mesoscopic and statistica
 l physics\, transport\, material science\, etc. It is also of utmost appli
 ed interest\, in particular for imaging. Wavefront shaping\, the ability t
 o manipulate light using e.g. spatial light modulators\, has in the last d
 ecade revolutionized the ability to image through or in complex media.\nIn
  this seminar\, I will discuss how computational tools and machine learnin
 g algorithms allows to develop further wavefront shaping\, and show how th
 e same complexity can be leveraged for a variety of optical computing task
 s\, ranging from classification to time-series predictions to optimization
  problems. \n\nBio\nSylvain Gigan is Professor of Physics at Sorbonne Uni
 versité in Paris\, and group leader in Laboratoire Kastler-Brossel\, at E
 cole Normale Supérieure (ENS\, Paris). His research interests focus on li
 ght propagation in complex media\, and range from fundamental investigatio
 ns\, biomedical imaging\, computational imaging\, signal processing\, to q
 uantum information. He is also the cofounder of a spin-off: LightOn (www.l
 ighton.ai) developing optical computing solutions for machine learning.\n
  
LOCATION:MC A1 272 https://plan.epfl.ch/?room==MC%20A1%20272 https://epfl.
 zoom.us/j/63596420243
STATUS:CONFIRMED
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