Session Chairs: Sonja Franke-Arnold, Univ. of Glasgow (United Kingdom); Giovanni Volpe, Göteborgs Univ. (Sweden)

8:30 AM - 8:35 AM: Welcome and Opening Remarks

8:35 AM - 9:15 AM: AI Photonics

Hui Cao Yale Univ. (United States)

Artificial intelligence (AI) techniques have boosted the capability of optical imaging, sensing, and communication. Concurrently, photonics facilitate the tangible realization of deep neural networks, offering potential benefits in terms of latency, throughput, and energy efficiency. In this talk, I will discuss our efforts in AI photonics with two examples. The first involves employing a convolutional neural network for achieving single-shot full-field measurement of optical signals. The second example pertains to implementing a deep neural network with a multiple-scattering system featuring structural nonlinearity, thereby enabling nonlinear computations using linear optics.

Hui Cao is the John C. Malone Professor of Applied Physics and of Physics, and a professor of Electrical Engineering at Yale University. Her technical interests and activities are in the areas of complex lasers, mesoscopic physics, complex photonic materials and devices, nanophotonics, and biophotonics. She authored or co-authored one monograph, twelve book-chapters, ten review articles and 280 journal papers. Cao is a Fellow of the SPIE, AAAS, APS, IEEE and OSA. She is an elected member of the National Academy of Sciences and the American Academy of Arts and Sciences.

Event Details

FORMAT: General session with live audience Q&A to follow presentations.
MENU: Coffee, decaf, and tea will be available outside the presentation room.
SETUP: Theater style seating.