AI for Science
21 Sep 2026 - 25 Sep 2026
The school offers a comprehensive overview of key topics in Artificial Intelligence and Machine Learning, including Generative AI, Explainability, Simulation-based Inference, Agentic AI, Robustness and Validation of AI Methods, Vision-Language Models, Self-Supervised Learning, Knowledge Integration, and Causality. In addition to expert lectures, the program features hands-on sessions and best-practice sessions focused on how to use the latest AI tools in research.
Practical information:
21 Sep 2026 - 25 Sep 2026
37,5 hours
Heidelberg, Germany
English
Target audience: PhD students who want to leverage state-of-the-art AI in their research.
Georganiseerd door:
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