BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Paris BEGIN:DAYLIGHT DTSTART:20260329T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20261025T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260605T145546Z UID:A2A4DFC3-DA30-4731-85E9-44141CD31283 DTSTART;TZID=Europe/Paris:20260604T140000 DTEND;TZID=Europe/Paris:20260604T160000 DESCRIPTION:Abstract: Machine learning is a subset of artificial intelligen ce that uses advanced algorithmic methods to analyze data and to optimize system performance. Machine learning is becoming a standard tool in ultraf ast nonlinear photonics\, with particular interest in exploring how optica l nonlinearities can be exploited in optical computing. This talk will rev iew this rapidly developing area\, covering topics such as neural networks applied to data analysis\, evolutionary algorithms for broadband source o ptimization\, 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.\n\nSpea ker: Professor John Dudley\n\n[]\n\nJohn Dudley received B.Sc and Ph.D. fr om the University of Auckland (New Zealand) in 1987 and 1992. He carried o ut postdoctoral research at the University of St Andrews in Scotland befor e 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 Uni versitaire de France. His research covers a range of topics in ultrafast a nd 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 t he IOP\, and research honors including the CNRS Silver medal\, the SPIE Ed gerton Award in High Speed Optics\, the Optica- R. W. Wood Prize\, and the EPS-QEOD Award for Research into the Science of Light.\n\nSpeaker(s): Pro fessor John Dudley\n\nRoom: Amphithéâtre Rose Dieng-Kuntz\, Télécom Pa ris\, 19 place Marguerite Perey\, Palaiseau\, Ile-de-France\, France\, 911 20\, Virtual: https://events.vtools.ieee.org/m/545073 LOCATION:Room: Amphithéâtre Rose Dieng-Kuntz\, Télécom Paris\, 19 place Marguerite Perey\, Palaiseau\, Ile-de-France\, France\, 91120\, Virtual: https://events.vtools.ieee.org/m/545073 ORGANIZER:elie.awwad@telecom-paris.fr SEQUENCE:25 SUMMARY:Machine learning in nonlinear and ultrafast photonics URL;VALUE=URI:https://events.vtools.ieee.org/m/545073 X-ALT-DESC:Description: <br /><p><span style="font-size: 11pt\; font-family : 'calibri'\, sans-serif\; color: rgb(31\, 73\, 125)\;"><strong>Abstract</ strong>: </span><span style="font-size: 11pt\; font-family: 'calibri'\, sa ns-serif\; color: rgb(31\, 73\, 125)\;">Machine learning is a subset of ar tificial intelligence that uses advanced algorithmic methods to analyze da ta and to optimize system performance.&nbsp\; Machine learning is becoming a standard tool in ultrafast nonlinear photonics\, with particular intere st in exploring how optical nonlinearities can be exploited in optical com puting. This talk will review this rapidly developing area\, covering topi cs such as neural networks applied to data analysis\, evolutionary algorit hms for broadband source optimization\, data-driven techniques for the dis covery of physical models\, and supercontinuum nonlinearity applied to opt ical neural networks. The talk will be at a tutorial level and suitable fo r non-specialists.</span></p>\n<p>&nbsp\;</p>\n<p><span style="font-size: 11pt\; font-family: 'calibri'\, sans-serif\; color: rgb(31\, 73\, 125)\;"> <span style="color: rgb(52\, 73\, 94)\;"><strong>Speaker</strong>: P</span >rofessor John Dudley</span></p>\n<p><span style="font-size: 11pt\; font-f amily: 'calibri'\, sans-serif\; color: rgb(31\, 73\, 125)\;"><img src="htt ps://events.vtools.ieee.org/vtools_ui/media/display/19241af2-72ad-436e-baa e-9e13823b662f" alt="" width="144" height="153"></span></p>\n<p><span styl e="font-size: 11pt\; font-family: 'calibri'\, sans-serif\; color: rgb(31\, 73\, 125)\;">John&nbsp\;<span id="DWT896" class="ZmSearchResult"><span id ="DWT953" class="ZmSearchResult">Dudley</span></span> received B.Sc and Ph .D. from the University of Auckland (New Zealand) in 1987 and 1992. He car ried 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 Universit&eacute\; Marie et Lou is Pasteur in France and he also holds a Fundamental Research Chair at the Institut Universitaire de France. His research covers a range of topics i n ultrafast and nonlinear optics\, and he has published extensively.&nbsp\ ; He is committed to service and outreach\, and currently chairs the Steer ing Committee of the UNESCO International Day of Light.&nbsp\; He is a Fel low of the IEEE\, Optica\, SPIE\, EOS and an Honorary Fellow of the Royal Society of New Zealand. He has received leadership and outreach awards fro m 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 o f Light.</span></p> END:VEVENT END:VCALENDAR