BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//qMeet//qMeet Events//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:event-55046@qmeet.net
DTSTAMP:20260921T095106Z
LAST-MODIFIED:20260921T061708Z
DTSTART:20260924T153000
DTEND:20260924T170000
SUMMARY:Physics Colloquium with Fan Wu
DESCRIPTION:Fan Wu from Cornell University will present at this week's Phys
 ics Colloquium. Dr. Fan Wu's presentation is titled "Optics for AI and AI 
 for Optics: From Optical Thermodynamic AI Accelerators to Machine-Learning
 –Enabled Reconfigurable Integrated Photonics". The seminar will be prese
 nted at 4:00 p.m. on Thursday (Sep. 24) in Fisher 139. The coffee hour wil
 l be held at 3:30 in the Fisher Hall Lobby. Abstract In the first part of 
 this talk\, I will introduce an optical thermodynamic framework that recas
 ts complex nonlinear dynamics using entropy and statistical mechanics. By 
 embracing the second law of thermodynamics\, this framework provides a uni
 fied way to understand and harness these systems without tracking every de
 gree of freedom. I will further show that equilibrium fluctuations in such
  systems can be used as a computational resource: through steady-state cor
 relations\, multimode systems natively perform matrix inversion\, offering
  massively parallel\, energy-efficient computing for AI. In the second par
 t\, a machine-learning-enabled reconfigurable photonic platform will be in
 troduced to address the fabrication-reality gap in modern inverse-designed
  integrated photonics. In such system\, the refractive-index landscape can
  be dynamically tuned by a top optical illumination on the chip. By combin
 ing this in-situ programmability with physics-informed machine learning\, 
 the same chip can perform various functionalities including mode conversio
 n\, matrix-vector multiplication\, and dispersion engineering. Bio Fan Wu 
 obtained his Ph.D. in Optics from the University of Central Florida in 202
 0 and has conducted postdoctoral research at Cornell University since 2022
 . He will join the School of Engineering at Westlake University as an Assi
 stant Professor in 2027. He was selected as a 2024 Springer Nature LSA\, R
 ising Star of Light and received the 2024 Eric and Wendy Schmidt AI in Sci
 ence Postdoctoral Fellowship.
LOCATION:Fisher Hall 139\, 1771-1781 Townsend Drive\, Houghton\, MI\, 49931
 \, United States
URL:https://www.qmeet.net/EventDetails?EventID=55046
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR
