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Towards Machine Intelligence Capable of Nobel-Caliber Science

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

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Course Description

Overview

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Explore the potential of AI-driven scientific discovery in this thought-provoking talk by Alexander Lavin, Founder and Chief Technologist of the Institute for Simulation Intelligence. Delve into the challenges and opportunities of applying artificial intelligence to push the boundaries of scientific innovation across diverse fields. Learn about the proposed "Nobel-Turing Challenge" for AI systems capable of making Nobel-caliber discoveries, and examine key areas of AI/ML, simulation, and computing that could advance this goal. Gain insights into recent progress in chemistry and climate research, as well as critical aspects of human-machine teaming and systems engineering in AI. Discover how machine intelligence might reshape the scientific method and help solve humanity's greatest challenges, from nuclear fusion to neurodegenerative diseases.

Syllabus

Towards Machine Intelligence Capable of Nobel caliber Science


Taught by

Toronto Machine Learning Series (TMLS)

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