SAIL Spring School 2026

Material Package

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Contributions*

Chances and Limits of AI in the Engineering of Resilient Software Systems (Prof. Eric Bodden. Paderborn University)

Data-efficient learning of physics systems by exploiting knowledge (Prof. Sebastian Peitz, TU Dortmund)

Efficient DNN Inference through Approximation and Streaming Dataflow Accelerators (Prof. Marco Platzner, Paderborn University)

Engineering Cognitive Sustainability: How to Implement Social XAI (Prof. Kary Främling, Umeå University)

Knowledge Representation as Political AI (Prof. Stefan Schlobach, Vrije Universiteit Amsterdam)

On the Role of Uncertainty-Awareness for Resilient AI Systems (Prof. Eyke Hüllermeier, LMU München)

Poster Session

Spring School Dinner

Summary and Farewell

Symbol emergence in explainable and continual learning (Prof. Natalia Diaz Rodriguez, University of Granada)

TBD (Prof. Sina Zarrieß, Bielefeld University)

Welcome

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3/17/26

3/18/26

3/19/26

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