Mariana Bertoni, Arizona State University, United States
Co-Chair: Bernd Witzel, Université Laval, Canada
Julia Mikhailova, Princeton University, USA
Co-Chairs: Agata Branczyk, National Research Council, Canada
Co-Chairs: Li Qian, University of Toronto, Canada
Vinod Menon, CUNY, United States
Co-Chairs: Dr. Ahmad Atieh, Optiwave, Canada
Co-Chairs: Kalaichelvi Saravanamuttu, McMaster University, Canada
Co-Chairs: Andrew Knight, McMaster University, Canada
This session aims at giving an overview of the emergent topic of how artificial intelligence (AI) intersects with photonics from two perspectives:
(1) Using AI for photonics: applications of artificial neural networks, deep learning, machine learning, genetic algorithms,
automated reasoning, Bayesian approaches, big data, advanced optimization techniques for inverse design, and other AI paradigms to integrated optics, nanophotonics, remote sensing, spectroscopy, microscopy, quantum optics, computational imaging, quantum communication protocols, augmented and virtual reality, and other
areas of photonics.
(2) Using photonics for AI: application of photonics technology for AI computing, such as reservoir computing, photonic quantum machine learning, photonic hardware accelerators, and neuromorphic computing.