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SUMMARY:CMSP News and Views Seminar Series: Exploring alternatives to digi
 tal artificial neural networks
DTSTART;VALUE=DATE-TIME:20260924T090000Z
DTEND;VALUE=DATE-TIME:20260924T100000Z
DTSTAMP;VALUE=DATE-TIME:20260914T040111Z
UID:indico-event-11487@ictp.it
DESCRIPTION:\n	Coffee break will be served before the Seminar at 10:30 on 
 the Leonardo Building terrace.\n	- - -\n \n\n	Florian Marquardt\n	(the M
 ax Planck Institute for the Science of Light and Friedrich-Alexander-Unive
 rsität Erlangen-Nürnberg)\n \nAbstract:\n\n	The ongoing revolution in a
 rtificial intelligence requires ever-increasing resources for training and
  deploying artificial neural networks. This exponentially accelerating tre
 nd has been recognized as unsustainable\, and a community of scientists an
 d engineers are exploring energy-efficient alternatives to the current par
 adigm of digital artificial neural networks. By designing devices that ope
 rate much closer to the microscopic laws of physics but offer similar func
 tionalities\, one can achieve significant gains in efficiency and speed. I
 n this talk\, I will give an overview of the different approaches. Above a
 ll\, I will concentrate on the topic of physics-based learning\, where the
  idea is to extract the correct updates to trainable parameters in an effi
 cient manner\, based on intelligently chosen experimental procedures. I wi
 ll illustrate the opportunities in this domain by a few of our recent idea
 s. These include learning with the help of time-reversal operations\, nonl
 inear processing based on linear optical scattering\, and a new training t
 echnique that will help to turn any analog quantum simulator platform into
  a trainable neuromorphic device.\n	 \n\n	Zoom registration link:https://
 zoom.us/meeting/register/RKsl8-NEQHuLifpYFYgE5A\n	 \n\n//indico.ictp.it/e
 vent/11487/
LOCATION:Euler Lecture Hall (Leonardo Building) and via Zoom
URL://indico.ictp.it/event/11487/
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