Optical Computing Redux: Exploiting Light Scattering for Machine Learning

This lecture explores the use of light scattering in complex media for optical computing, focusing on wavefront shaping and machine learning algorithms. The seminar discusses computational tools to enhance wavefront shaping and leverage complexity for optical computing tasks like classification, time-series predictions, and optimization. The instructor, Prof. Sylvain Gigan, shares insights on light propagation in various media and its applications in imaging, biomedical imaging, and quantum information. The lecture delves into the challenges and advantages of optical computing, highlighting the potential for large-scale reconfigurable optical neural networks and the convergence between free space and integrated optics.