Next-generation Frameworks for AI and Science, and Trust - Lecture 8
MICDE University of Michigan via YouTube
Overview
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Explore the convergence of generative AI and large-scale AI modeling technologies in scientific applications through this 33-minute conference talk. Delve into the potential benefits and biosafety concerns arising from the increased accessibility of advanced AI capabilities. Examine recent advancements in foundational model architectures, their emerging properties such as memorization and generalization, and proposed control mechanisms for ensuring safety and trust. Gain insights into practical demonstrations of these technologies in scientific contexts, as presented by Payel Das at the MICDE University of Michigan SciFM24 conference.
Syllabus
08. SciFM24 Payel Das: Next-generation Frameworks for AI and Science, and Trust
Taught by
MICDE University of Michigan