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SUMMARY:Physical Perspectives on Modern Computation - Samuel Power (Univer
 sity of Cambridge)
DTSTART:20170614T150000Z
DTEND:20170614T160000Z
UID:TALK72589@talks.cam.ac.uk
CONTACT:Nicolai Baldin
DESCRIPTION:Contemporary approaches to tasks in computation (e.g. machine 
 learning\, optimisation\, Bayesian statistics) draw rich and varied inspir
 ation from models of physics. In this talk\, I will outline some examples 
 where this approach has proven fruitful\, as well as more general conceptu
 al links between physical thinking and (statistical) computation. I will t
 hen attempt to give a convincing overview of why such methods succeed\, an
 d why we should expect them to continue to offer insight into such tasks g
 oing forward.
LOCATION:MR14\, Centre for Mathematical Sciences
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