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SUMMARY:Capturing Intelligence at the Level of Thought - Professor James L
 . McClelland (Stanford University and Google DeepMind)
DTSTART:20230914T173000Z
DTEND:20230914T200000Z
UID:TALK204391@talks.cam.ac.uk
CONTACT:Aaron Turner
DESCRIPTION:Abstract: Today’s neural networks tantalize us with their ap
 parent creativity and insight\, yet we may also feel that they aren’t re
 ally thoughtful cognizing minds like those of ourselves and our peers.  Wh
 at’s the difference?  I have come to feel that it may be useful to think
  that these systems don’t really have thoughts in the same sense that we
  do.  Thus\, I have set out on a quest to think about how we might better 
 build model systems that can capture intelligence at the level of thought.
   In this talk I’ll describe what I mean by a thought\, how it is that I
  see these systems as failing to operate at the level of thought\, and som
 e steps I and others are taking that I see as working toward the goal of u
 nderstanding how to solve this interesting and challenging problem at the 
 intersection of the sciences of mind\, brain\, and computation.\n\nAbout t
 he speaker: James L. (Jay) McClelland is a Cognitive Scientist who has use
 d neural network models to explore the mechanisms of human and machine int
 elligence for nearly 50 years.  In the late 1970’s he introduced a neura
 l network model capturing the dynamics of activation flow through a neural
  network.  He then teamed up with David Rumelhart\, the inventor of the le
 arning algorithm that powers todays neural-network based language models a
 nd many other machine learning systems.  Together they produced the two-vo
 lume work Parallel Distributed Processing (MIT Press\, 1986) that kindled 
 the second wave of neural network research beginning in the mid 1980’s. 
  McClelland led the creation the Center for the Neural Basis of Cognition 
 at Carnegie Mellon University and the University of Pittsburgh in the 1990
 ’s\, then moved to Stanford University\, where he led the creation of th
 e Center for Mind\, Brain and Computation in 2008.  He is the Lucie Stern 
 Professor in the Psychology Department at Stanford\, and holds courtesy ap
 pointments in Computer Science and Linguistics\, and he is currently a Con
 sultant Research Scientist at Google DeepMind.\n\nFull details including h
 ow to purchase tickets: https://www.eventbrite.com/e/professor-james-l-mcc
 lelland-stanford-university-and-google-deepmind-registration-700475429867
LOCATION:Botanic House\, 98-100 Hills Rd\, Cambridge CB2 1PH
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