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
Introduction to Solid State ChemistryMassachusetts Institute of Technology via edX Material Behaviour from Atoms to Bridges
University of Western Australia via Independent 3.091x: Introduction to Solid State Chemistry
Massachusetts Institute of Technology via edX Caer o No caer. El Secreto de las Estructuras.
Universidad Carlos iii de Madrid via edX Optique non-linéaire
École Polytechnique via Coursera