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SUMMARY:Renato (Rem) Faraone\, Nestor Guillen\, Max Lieblich\, Gireeja Ran
 ade\, and David Spivak (Various affiliations (see description))
DTSTART:20260925T153000Z
DTEND:20260925T170000Z
DTSTAMP:20261019T005914Z
UID:CompMath/38
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/CompMath/38/
 ">1st Relatorium Dialogue on Mathematics and AI</a>\nby Renato (Rem) Farao
 ne\, Nestor Guillen\, Max Lieblich\, Gireeja Ranade\, and David Spivak (Va
 rious affiliations (see description)) as part of Relatorium seminar\n\n\nA
 bstract\nThe practice and experience of mathematics is being talked about 
 more intensely and broadly these days than ever before\, and it’s thanks
  to AIs setting their gaze to conquer it\, like a collection of distant mo
 untain ridges\, just out of reach. The attention is most welcome. What are
  we learning about mathematics from our growing relations with AIs?\n\nPan
 elists' Bios: \nDr. Renato (Rem) Faraone holds a Ph.D. in Mathematics and 
 works as an independent researcher. Rem's work in AI focuses on episodic m
 emory and associative history\, grounded on allegori(a)l foundations for M
 athematics. Rem is currently working on attention mechanisms at TrueAGI an
 d is co-organizer of the Pacific NorthWest AGI Forum.\n\nNestor Guillen is
  currently a Visiting Professor of Mathematics at the Courant School Insti
 tute at New York University\, specializing in partial differential equatio
 ns and scientific computing. He completed his undergraduate studies in mat
 hematics at Universidad Simon Bolívar in Venezuela\, and obtained his PhD
  at the University of Texas at Austin under the direction of Luis Caffarel
 li. Prof. Guillen's research has been recognized with an NSF CAREER Award 
 (2021)\, and a Frontier of Science Award (2026). More recently he has writ
 ten extensive commentary on the challenges and opportunities brought by ge
 nerative AI technologies\, he is also a founding board member of the Palom
 ar Registry for Lean-verified mathematics.\n\nMax Lieblich is Professor an
 d Chair in the Department of Mathematics at the University of Washington. 
 He earned his AB from Harvard and his PhD from MIT\, and then spent time a
 t Brown and Princeton before joining the University of Washington faculty 
 in 2009. His work has mostly focused on algebraic geometry\, including pro
 jects related to computer vision. He has also done some work in public hea
 lth and educational technology.\n\nGireeja Ranade is an Associate Teaching
  Professor in Electrical Engineering and Computer Sciences (EECS) at the U
 niversity of California\, Berkeley. Before joining the Berkeley faculty sh
 e was at Microsoft Research in Redmond\, WA. She received her PhD in Elect
 rical Engineering and Computer Science from the University of California\,
  Berkeley\, and her undergraduate degree from MIT in Cambridge\, MA. She i
 s the recipient of some awards for her research and teaching such as the N
 SF CAREER Award\, the UC Berkeley Electrical Engineering Award for Outstan
 ding Teaching\, the UC Berkeley Award for Extraordinary Teaching in Extrao
 rdinary Times and others.\n\nDavid Spivak received a PhD in mathematics fr
 om UC Berkeley in 2007. Noticing category theory’s impressive ability to
  organize and layer abstractions and to interconnect widely different disc
 iplines\, he set out to show that mathematics’ most abstract field was a
 lso its most applicable. After spending ten years at MIT\, he co-founded T
 opos Institute\, an independent non-profit research institute that works t
 o shape technology for the public benefit by applying the language of cate
 gory theory. David's work ranges from database integration to knowledge re
 presentation\, from materials science to dynamical systems to learning and
  sensemaking\, all with a focus on compositionality and interoperability. 
 He has written four books on applications of category theory.\n\nModerator
 's bio: \nTed Theodosopoulos is a mathematician who\, after working for ye
 ars in academia and industry\, transitioned to teaching at the pre-college
  level seventeen years ago\, the last nine at Nueva\, where he teaches mat
 h and economics. Ted’s research background is in the area of interacting
  stochastic systems\, with particular applications in biology and economic
 s.\n
LOCATION:https://researchseminars.org/talk/CompMath/38/
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