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DTSTAMP:20260406T075638Z
UID:1574694000@ist.ac.at
DTSTART:20191125T160000
DTEND:20191125T170000
DESCRIPTION:Speaker: Nir Shavit\nhosted by Dan Alistarh\nAbstract: There ar
 e more than 70 companies developing new acceleration hardware for the grow
 ing field of Machine Learning. I work in a field of computational neurobio
 logy\, in which we image fragments of neural tissue at nanometer resolutio
 n in order to fully reconstruct their connectivity maps: their connectomes
 . This talk will explain how unraveling brain structure can lead to new un
 derstandings of what our futuristic machine learning hardware should look 
 like.Nir Shavit is a professor in the Department of Electrical Engineering
  and Computer Science at MIT and a professor of Computer Science at Tel-Av
 iv University. Shavit is a co-author of the book The Art of Multiprocessor
  Programming\, and is a recipient of the 2004 Gödel Prize in theoretical 
 computer science and of the 2012 Dijkstra Prize in Distributed Computing. 
 His recent interests include systems issues in ML and techniques for under
 standing how neural tissue computes by extracting connectivity maps of neu
 ral tissue\, a field called connectomics. He is the CEO of Neural Magic\, 
 a startup delivering GPU class performance for ML workloads on commodity m
 ulticore CPUs.
LOCATION:Raiffeisen Lecture Hall\, Central Building\, ISTA
ORGANIZER:arinya.eller@ist.ac.at
SUMMARY:Nir Shavit: Tissue vs Silicon: How neurobiology can save machine le
 arning hardware
URL:https://talks-calendar.ista.ac.at/events/1145
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