This course explores the applications of artificial intelligence across the natural sciences. Students will learn how AI techniques can accelerate scientific discovery — from analyzing complex datasets to simulating natural systems. Case studies will cover diverse areas: in physics and chemistry, for example in materials discovery and reaction modeling; in biology, with applications in genomics, protein structure prediction, and ecosystem analysis; in astronomy, where AI assists in detecting exoplanets, analyzing large-scale sky surveys, and modeling cosmic phenomena; and in earth and environmental science, where it supports climate modeling, satellite-based remote sensing, and natural disaster prediction. The course also addresses the limitations of AI-driven approaches and discusses ethical aspects of using AI in scientific research.
The examination form is a group project.
- Dozent/in: Hübener Isabel