
739: AI is Eating Biology and Chemistry, with Dr. Ingmar Schuster
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
Exploring the Intersection of AI, Biology, and Chemistry
The chapter explores the use of kernel methods in modeling biological catalysts and antibodies, as well as the potential for AI to tackle challenges like carbon dioxide extraction and pharmaceutical research. It also compares the effectiveness of shallow machine learning methods like kernel methods and XGBoost to deep learning, particularly in tasks such as natural language processing, and offers guidance for AI entrepreneurs.
Play episode from 01:19:08
Transcript


