Explore the future of AI in drug discovery through this insightful panel discussion featuring renowned experts Yoshua Bengio, Marinka Zitnik, Oren Kraus, and others. Recorded at the 2023 Molecular Machine Learning conference at Mila, the 44-minute video delves into crucial topics such as the future of machine learning for molecular research, challenges in enabling an ML revolution for molecular design, and strategies for improving ML model deployment for domain experts. Gain valuable perspectives from leading researchers as they address these critical issues and engage in a thought-provoking Q&A session with the audience.
Overview
Syllabus
- Intro’s
- How do you envision the future of ML for molecular research?
- What’s the biggest challenge in enabling an ML revolution for molecular design?
- How can we enable ML models to be deployed and used by domain experts in a better way?
- Audience Q+A
Taught by
Valence Labs
Related Courses
-
Exploring Molecular Space and Active Learning in Drug Discovery
-
Harnessing Geometric ML for Molecular Design - Day 3
-
Machine Learning in Structure-Based Drug Discovery - Day 2
-
Leveraging Molecular ML and Property Prediction in Drug Design
-
Molecular Machine Learning Conference 2023 - Opening Remarks
-
LLMs in Drug Discovery - Day 5
