Seminar - Artificial Intelligence

The seminar focuses on the independent study and presentation of current research topics in Artificial Intelligence (AI) and Machine Learning (ML). Students will work with scientific literature, analyze recent developments, and present their findings in both written and oral form.

Each trimester addresses a different focus area, covering modern AI methods, applications, and emerging research challenges. The seminar encourages critical discussion, scientific writing, and the development of presentation and research skills.

WT26 Focus: Heuristics in AI

This trimester focused on heuristic methods in Artificial Intelligence, particularly in the context of games such as chess. The seminar explored how heuristics guide search and decision-making processes in complex problem spaces.

WT24 Focus: AI in games

This trimester focused on AI for games, with AlphaGo and Deep Blue serving as prominent examples. The integration of AI in games not only enhances the gaming experience but also provides an important testing ground for advanced AI technologies that continuously push the boundaries of AI.

WT23 Focus: Multi-Objective Optimization in ML

This trimester focused on multi-objective optimization (MOO). MOO plays an important role in AI, as it enables the simultaneous optimization of multiple objectives. This helps identify suitable trade-offs and balance different performance metrics when developing AI models, leading to more robust and versatile solutions