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DTSTART:20190331T030000
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DTSTART:20191027T020000
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DTSTAMP:20260406T041142Z
UID:1556118000@ist.ac.at
DTSTART:20190424T170000
DTEND:20190424T180000
DESCRIPTION:Speaker: Gunnar Carlsson\nhosted by Herbert Edelsbrunner\nAbstr
 act: Over the last 15-20 years\, the idea that methods of topology (the ma
 thematical discipline that studies shape) can be used effectively to study
  large and complex data sets has gained a great deal of currency\, and the
 re are numerous and diverse examples of powerful applications.  The idea 
 is that there should be a new method of mathematical modeling\, whose outp
 ut is not an equation or system of equations but rather a network or graph
  that represents the "shape" of the data.  We have recently found that th
 e methods are particularly appropriate for integration with the Deep Learn
 ing methodology.  I will discuss the methods\, with numerous examples.Gun
 nar Carlsson\, Professor Emeritus at Stanford University\, is an American 
 mathematician who specializes in Algebraic Topology.  He is especially kn
 own for his work on Segal’s Burnside ring conjecture as well as topologi
 cal data analysis.  In addition\, Carlsson is the cofounder and president
  of Ayasdi\, a predictive technology company that focuses on big data\, ma
 chine learning and artificial intelligence.  He has received numerous NSF
  grants and many other notable awards and grants such as the Alfred P. Slo
 an Fellowship as well as grants from the Air Force Office of Scientific Re
 search and the Office of Naval Research.Free shuttle buses are provided to
  / from campus:Regular IST shuttle #142: 4:03 pm from U4 Heiligenstadt/pub
 lic bus stop (return from IST Austria campus at 6:40 and 7:10 pm)Special I
 ST Lecture shuttle: 4 pm from the Schwedenplatz/night bus stop (return fr
 om IST Austria campus at 7 pm)Please register (http://ist.ac.at/ist-Lectu
 re-registration) for the lecture and shuttle bus by April 10. 
LOCATION:Raiffeisen Lecture Hall\, ISTA
ORGANIZER:arinya.eller@ist.ac.at
SUMMARY:Gunnar Carlsson: Topological methods for artificial intelligence
URL:https://talks-calendar.ista.ac.at/events/1289
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