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DTSTART:20260329T030000
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DTSTAMP:20260819T133104Z
UID:1790092800@ist.ac.at
DTSTART:20260922T180000
DTEND:20260922T190000
DESCRIPTION:Speaker: Klaus Robert Müller\nhosted by ÖAW\nAbstract: Abstra
 ctIn recent years\, machine learning (ML) and artificial intelligence (AI)
  methods have begun to play a more and more enabling role in the sciences 
 and in industry. In particular\, the advent of large and/or complex data c
 orpora has given rise to new technological challenges and possibilities. I
 n his talk\, Müller will touch upon the topic of ML applications in the s
 ciences\, in particular in medicine and if time permits also in chemistry.
  He will also discuss possibilities for extracting information from machin
 e learning models to further our understanding by explaining nonlinear ML 
 models. Finally\, Müller will briefly discuss perspectives and limitation
 s.BioKlaus-Robert Müller is Professor for Machine Learning at TU Berlin a
 nd at Korea University\, Seoul. He is director of BIFOLD – one of 5 perm
 anently funded German national AI centers. He is a member of Leopoldina\
 , BBAW and Acatech and an external scientific member of the Max-Planck S
 ociety. Among others he received the Berlin Science prize\, the Vodafone I
 nnovation Award\, the Hector Science award\, the Feynman award\, the IEEE 
 CIS Neural Network Pioneer Award and the Gottfried Wilhelm Leibniz prize. 
 Consecutively from 2019 on he became ISI Highly Cited Researcher. His rese
 arch interests are in AI for the sciences and in the foundations of AI.Pho
 to: © Bifold
LOCATION:Dr. Ignaz Seipel-Platz 2\, 1010 Vienna\, Austria\, ISTA
ORGANIZER:events@ista.ac.at
SUMMARY:Klaus Robert Müller: AI for the Sciences: towards Understanding
URL:https://talks-calendar.ista.ac.at/events/6288
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