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PRODID:-//University of Utah Math Department//Towards Third Wave AI: Interpretable, Robust Trustworthy Machine Learning for Diverse Applications in Science and Engineering//EN
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X-WR-CALNAME:Towards Third Wave AI: Interpretable, Robust Trustworthy Machine Learning for Diverse Applications in Science and Engineering
X-WR-CALDESC:Towards Third Wave AI: Interpretable, Robust Trustworthy Machine Learning for Diverse Applications in Science and Engineering at University of Utah Mathematics Department
X-WR-TIMEZONE:America/Denver
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UID:20221103T160000-guang-lin@math.utah.edu
DTSTART;TZID=America/Denver:20221103T160000
DTEND;TZID=America/Denver:20221103T170000
DTSTAMP:20260922T150857Z
SUMMARY:Towards Third Wave AI: Interpretable, Robust Trustworthy Machine Learning for Diverse Applications in Science and Engineering
DESCRIPTION:Speaker: Guang Lin\, Purdue University\n\nThis talk aims to close the gap by developing new theories and scalable numerical algorithms for complex dynamical systems that can be realistically predicted and validated. We are creating new technologies that can be translated into more secure and reliable new trustworthy AI systems that can be …

LOCATION:JWB 335

URL:https://www.math.utah.edu/research/colloquia/2022-11-03-guang-lin/
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