Tutorials
The tutorials will provide a broad overview of modern AI methods and tools for research, and will include hands-on examples in Python. We offer an optional AI Foundations Day during which participants will learn how neural networks are trained and evaluated, how vision and sequence models work, and how transfer learning lets researchers build on pretrained models rather than starting from scratch. Follow-up tutorials will illustrate best practices for applying these approaches across a full AI research lifecycle. Other topics will include foundation models, and the practicalities of scaling training and deployment. Dedicated sessions also address how to interpret AI results rigorously and make AI-based research reproducible.
