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BP: Fachverband Biologische Physik

BP 1: Hands-on Tutorial: AI Fundamentals for Research (joint session BP/TUT/DY/AKPIK)

Sonntag, 16. März 2025, 16:00–18:15, H2

Artificial intelligence (AI) has become an essential tool in modern physics, enabling new approaches to data analysis, modeling, and prediction. This hands-on tutorial provides an accessible introduction to key AI concepts, emphasizing their practical applications in physics research.

Please bring your laptop. There will be limited power outlets in the room, so come with a fully charged battery.

Materials will be made available from 10.03.2025, accessible via the following options:
 GitHub repository:
   https://github.com/RedMechanism/DPG-SKM-2025-Tutorial-AI-Fundamentals-for-Research
 ZIP file download:
   https://jlubox.uni-giessen.de/getlink/fiAGRzcGTiCL3GZxk8WAjom4/
Participants are encouraged to download them ahead of time.

Organized by Jan Bürger (Aachen), Janine Graser (Duisburg), Robin Msiska (Duisburg/Ghent), and Arash Rahimi-Iman (Gießen), with support from Stefan Klumpp (Göttingen) and Tim Ruhe (Dortmund).

	16:00	BP 1.1	Tutorium: Introduction — Jan Bürger, •Janine Graser, Robin Msiska, and Arash Rahimi-Iman
	16:35		5 min. break
	16:40	BP 1.2	Tutorium: Hands-On Session 1 -- Function Approximation — •Jan Bürger, Janine Graser, Robin Msiska, and Arash Rahimi-Iman
	17:25		5 min. break
	17:30	BP 1.3	Tutorium: Hands-On Session 2 -- Classification and More — Jan Bürger, Janine Graser, •Robin Msiska, and Arash Rahimi-Iman