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SUMMARY:Daniel Tubbenhauer\, "Mathematics\, algebra and AI" [Public Event]
DTSTART:20250723T160000Z
DTEND:20250723T180000Z
DTSTAMP:20260416T082000Z
UID:indico-event-568@math-events.uni-bonn.de
CONTACT:stefan.hartmann@hcm.uni-bonn.de
DESCRIPTION:zur Anmeldung\nZusammenfassung:\nThe Ouroboros (the snake that
  eats itself) is a fitting image for this talk. I’ll explore how mathema
 tics\, especially linear and non-linear algebra\, underpins the structure 
 of neural networks in machine learning. At the same time\, I’ll reflect 
 (in a personal and informal way) on whether\, how\, and why (or why not) m
 achine learning might be useful for advancing mathematics itself\; particu
 larly in algebra.\n\n \n\nDaniel Tubbenhauer\nDaniel is ARC Future Fellow
  at the University of Sydney\, working in algebra and representation theor
 y\; especially categorical and diagrammatic approaches. Previously they he
 ld positions in Zürich\, Bonn\, and Aarhus. PhD from Göttingen in 2013 o
 n categorification and its applications. They have co-organised various ev
 ents in representation theory and categorification\, and were involved in 
 outreach through Spectra and WAMSOC. Daniel also runs a YouTube channel ab
 out mathematics\, aiming to make abstract concepts more accessible and vis
 ual. \n\n \n\nhttps://math-events.uni-bonn.de/event/568/
LOCATION:Poppelsdorfer Allee 45\, 1\, EG\, Lecture room - HIM PA82 (HIM)
URL:https://math-events.uni-bonn.de/event/568/
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