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DTSTART:19700308T020000
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DTSTAMP:20211207T055413Z
LOCATION:222
DTSTART;TZID=America/Chicago:20211119T084500
DTEND;TZID=America/Chicago:20211119T091500
UID:submissions.supercomputing.org_SC21_sess331_misc425@linklings.com
SUMMARY:Invited Talk: Data Integrity in HPC/Cloud-Based Artificial Intelli
 gence Research
DESCRIPTION:Workshop\n\nInvited Talk: Data Integrity in HPC/Cloud-Based Ar
 tificial Intelligence Research\n\nPlale\n\nThe integrity of data and AI mo
 dels that use data are critical to the trustworthiness of the outcomes of 
 AI research.   Data and AI models could be corrupted by malicious actors o
 n one hand and could be subject to restrictions on their use on the other.
   Both suggest the need for care.  This problem takes on unique proportion
 s when AI research requires large-scale HPC and cloud resources. In this t
 alk, I will speak to the issue of data integrity in HPC and cloud-based AI
  research, touching on current research at IU and within the context of th
 e recently funded NSF AI Institute, ICICLE, Intelligent CI with Computatio
 nal Learning in the Environment.\n\nTag: Cloud and Distributed Computing, 
 Interactive HPC, Productivity Tools\n\nRegistration Category: Workshop Reg
  Pass
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