IEM Distinguished Lecturers Seminar: Optical Computing Redux: Exploiting Light Scattering for Machine Learning
Abstract
Light propagation in complex media, such as paint, clouds, or biological tissues, is a very challenging phenomenon, encompassing fundamental aspects in mesoscopic and statistical physics, transport, material science, etc. It is also of utmost applied interest, in particular for imaging. Wavefront shaping, the ability to manipulate light using e.g. spatial light modulators, has in the last decade revolutionized the ability to image through or in complex media.
In this seminar, I will discuss how computational tools and machine learning algorithms allows to develop further wavefront shaping, and show how the same complexity can be leveraged for a variety of optical computing tasks, ranging from classification to time-series predictions to optimization problems.
Bio
Sylvain Gigan is Professor of Physics at Sorbonne Université in Paris, and group leader in Laboratoire Kastler-Brossel, at Ecole Normale Supérieure (ENS, Paris). His research interests focus on light propagation in complex media, and range from fundamental investigations, biomedical imaging, computational imaging, signal processing, to quantum information. He is also the cofounder of a spin-off: LightOn (www.lighton.ai) developing optical computing solutions for machine learning.
Light propagation in complex media, such as paint, clouds, or biological tissues, is a very challenging phenomenon, encompassing fundamental aspects in mesoscopic and statistical physics, transport, material science, etc. It is also of utmost applied interest, in particular for imaging. Wavefront shaping, the ability to manipulate light using e.g. spatial light modulators, has in the last decade revolutionized the ability to image through or in complex media.
In this seminar, I will discuss how computational tools and machine learning algorithms allows to develop further wavefront shaping, and show how the same complexity can be leveraged for a variety of optical computing tasks, ranging from classification to time-series predictions to optimization problems.
Bio
Sylvain Gigan is Professor of Physics at Sorbonne Université in Paris, and group leader in Laboratoire Kastler-Brossel, at Ecole Normale Supérieure (ENS, Paris). His research interests focus on light propagation in complex media, and range from fundamental investigations, biomedical imaging, computational imaging, signal processing, to quantum information. He is also the cofounder of a spin-off: LightOn (www.lighton.ai) developing optical computing solutions for machine learning.
Practical information
- General public
- Free