Artificial Intelligence for Molecular Design and Self-Driving Labs
Offered By: Toronto Machine Learning Series (TMLS) via YouTube
Course Description
Overview
Explore cutting-edge applications of AI and automation in molecular materials design through this insightful conference talk by Professor Alan Aspuru-Guzik from the University of Toronto. Delve into the latest advancements in using artificial intelligence to create functional molecular materials and discover the concept of self-driving labs. Gain valuable insights into how these technologies are revolutionizing the field of chemistry and materials science, potentially accelerating the discovery of new compounds with tailored properties. Learn about the intersection of computer science and chemistry as Professor Aspuru-Guzik shares his group's recent work and findings in this rapidly evolving area of research.
Syllabus
Artificial Intelligence for Molecular Design and Self Driving Labs
Taught by
Toronto Machine Learning Series (TMLS)
Related Courses
The Quantum WorldHarvard University via edX Approximate Methods In Quantum Chemistry
Indian Institute of Technology, Kharagpur via Swayam Computational Chemistry and Classical Molecular Dynamics
NPTEL via YouTube A Mathematical Look at Electronic Structure Theory - JuliaCon 2021 Workshop
The Julia Programming Language via YouTube Breaking the Curse of Dimension in Quantum Mechanical Computations Through Analysis and Probability
Alan Turing Institute via YouTube