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SUMMARY:Complexity in the Era of AI and Data-Driven Computing - Lance Fort
 now (Illinois Institute of Technology)
DTSTART:20260209T100000Z
DTEND:20260209T110000Z
UID:TALK242359@talks.cam.ac.uk
CONTACT:Tom Gur
DESCRIPTION:In 2013 I wrote a book chapter on an imagined world where P = 
 NP. A world with advances in medicine\, translation\, video recognition an
 d generation\, and much more. With the advances we’ve seen in computing 
 power\, optimization\, data-driven algorithms\, and of course remarkable a
 dvances in artificial intelligence\, much of this world is coming true. We
 ’ve made dramatic progress on problems thought unsolvable a decade ago. 
 With one major exception\, our cryptographic protocols have remained secur
 e.\n\nHow did we get to this seemingly impossible world I call Optiland wh
 ere we can solve many difficult problems quickly in practice while our sec
 rets remain secure\, and what does it mean for our understanding and role 
 of computational complexity? \n\nWe’ll give a (mostly) non-technical ove
 rview that takes a step back and rethinks complexity in light of these adv
 ances\, what AI tells us about complexity\, and what complexity tells us a
 bout AI.
LOCATION:Computer Laboratory\, William Gates Building\, FW26
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