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SUMMARY:Bayes in the age of intelligent machines - Professor Tom Griffiths
  - Princeton University
DTSTART:20230524T140500Z
DTEND:20230524T145500Z
UID:TALK199390@talks.cam.ac.uk
CONTACT:Ben Karniely
DESCRIPTION:Recent rapid progress in the creation of artificial intelligen
 ce (AI) systems has been driven in large part by innovations in architectu
 res and algorithms for developing large scale artificial neural networks. 
 As a consequence\, it’s natural to ask what role abstract principles of 
 intelligence — such as Bayes’ rule — might play in developing intell
 igent machines. In this talk\, I will argue that there is a new way in whi
 ch Bayes can be used in the context of AI\, more akin to how it is used in
  cognitive science: providing an abstract description of how agents should
  solve certain problems and hence a tool for understanding their behavior.
  This new role is motivated in large part by the fact that we have succeed
 ed in creating intelligent systems that we do not fully understand\, makin
 g the problem for the machine learning researcher more closely parallel th
 at of the cognitive scientist. I will talk about how this perspective can 
 help us think about making machines with better informed priors about the 
 world and give us insight into their behavior by directly creating cogniti
 ve models of neural networks.\n\n\nLink to join virtually: https://zoom.us
 /j/98901725392?pwd=UWNVZVFTcVQxL2JkS0V1WVBoelBuUT09\n\nA recording of this
  talk is available at the following link: https://www.cl.cam.ac.uk/seminar
 s/wednesday/video/
LOCATION:Online
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