IEM Distinguished Lecturers Seminar: Large scale Optical Machine Learning exploiting multiple scattering
The seminar will take place in the main auditorium in Neuchâtel Campus (MC A1 272) and will be simultaneously broadcasted in ELA 1.
Coffee and cookies will be served at 13:00 before the seminar, next to the two auditoriums.
Abstract
Optics opens exciting perspectives for low energy and ultrafast information processing. In Machine Learning, optics is naturally well suited to implement layers of neural networks. However, most demonstrations of optical machine learning to date are limited to limited size, single layer networks, and to relatively simple tasks. I will show how multiple scattering of light allows performing optically a key operation in machine learning: large scale random matrix multiplication, and discuss how we can extend this concept beyond single layers operations, and to modern machine learning tasks.
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.
Coffee and cookies will be served at 13:00 before the seminar, next to the two auditoriums.
Abstract
Optics opens exciting perspectives for low energy and ultrafast information processing. In Machine Learning, optics is naturally well suited to implement layers of neural networks. However, most demonstrations of optical machine learning to date are limited to limited size, single layer networks, and to relatively simple tasks. I will show how multiple scattering of light allows performing optically a key operation in machine learning: large scale random matrix multiplication, and discuss how we can extend this concept beyond single layers operations, and to modern machine learning tasks.
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