AI for the Sciences - Recent Developments for XAI - IPAM at UCLA
Offered By: Institute for Pure & Applied Mathematics (IPAM) via YouTube
Course Description
Overview
Explore recent developments in Explainable AI (XAI) for scientific applications in this 47-minute lecture presented by Klaus-Robert Müller from Technische Universität Berlin. Recorded at the Institute for Pure & Applied Mathematics (IPAM) workshop on Explainable AI for the Sciences, delve into the latest advancements and methodologies for making AI systems more interpretable and transparent in scientific contexts. Gain insights into how XAI techniques are being applied to enhance understanding and trust in AI-driven scientific research and discoveries.
Syllabus
Klaus Robert Muller - AI for the Sciences: Recent Developments for XAI - IPAM at UCLA
Taught by
Institute for Pure & Applied Mathematics (IPAM)
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