About this Event
Abstract
Machine learning is a subset of artificial intelligence that uses advanced algorithmic methods to analyze data and to optimize system performance. Machine learning is becoming a standard tool in ultrafast nonlinear photonics, with particular interest in exploring how optical nonlinearities can be exploited in optical computing.
This talk will review this rapidly developing area, covering topics such as neural networks applied to data analysis, evolutionary algorithms for broadband source optimization, data-driven techniques for the discovery of physical models, and supercontinuum nonlinearity applied to optical neural networks.
The talk will be at a tutorial level and suitable for non-specialists.
Speaker bio
Professor John Dudley received B.Sc and Ph.D. from the University of Auckland (New Zealand) in 1987 and 1992. He carried out postdoctoral research at the University of St Andrews in Scotland before taking a lecturing position in 1994 at the University of Auckland. Since 2000, he has been Professor at the Université Marie et Louis Pasteur in France and he also holds a Fundamental Research Chair at the Institut Universitaire de France. His research covers a range of topics in ultrafast and nonlinear optics, and he has published extensively. He is committed to service and outreach, and currently chairs the Steering Committee of the UNESCO International Day of Light. He is a Fellow of the IEEE, Optica, SPIE, EOS and an Honorary Fellow of the Royal Society of New Zealand. He has received leadership and outreach awards from Optica, SPIE, APS and the IOP, and research honors including the CNRS Silver medal, the SPIE Edgerton Award in High Speed Optics, the Optica- R. W. Wood Prize, and the EPS-QEOD Award for Research into the Science of Light.
Event Venue & Nearby Stays
UCL Roberts Building, Barlow Room (Room 807), London, United Kingdom
GBP 0.00
