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DTSTAMP:20260522T150123Z
LOCATION:Exhibit Hall B
DTSTART;TZID=America/Chicago:20181115T103000
DTEND;TZID=America/Chicago:20181115T111500
UID:submissions.supercomputing.org_SC18_sess230_inv108@linklings.com
SUMMARY:Artificial Intelligence at the Edge: How the Internet of Things an
 d HPC Connect in the Computing Continuum
DESCRIPTION:Pete Beckman (Argonne National Laboratory)\n\nThe number of ne
 twork-connected devices (sensors, actuators, instruments, computers, and d
 ata stores) now substantially exceeds the number of humans on this planet.
  Billions of things that sense, think, and act are connected to a planet-s
 panning network of cloud and high-performance computing centers that conta
 in more computers than the entire Internet did just a few years ago. Paral
 lel computation and machine learning are providing the basis for this new 
 computing continuum that analyses data in-situ, and uses HPC to model, pre
 dict, and learn. This new paradigm is giving rise to intelligent cities, s
 mart agriculture, and advanced manufacturing. The Amazon Inc. DeepLens sys
 tem is an example of this new model that links machine learning at the edg
 e to the cloud.  Another example is the Waggle Platform, developed at Argo
 nne National Laboratory. The Array of Things project at the University of 
 Chicago is deploying hundreds of Waggle-based nodes with advanced wireless
  sensors in Chicago and other cities.   Each of the nodes support parallel
  edge computing.  This presentation will explore the computing continuum, 
 and how artificial intelligence at the edge is now firmly connected to sup
 ercomputing.\n\nRegistration Category: Tech Program Reg Pass, Exhibits Reg
  Pass\n\nSession Chair: Dorian C. Arnold (Emory University)\n\n
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