Catch up on the latest talks from Munich Datageeks — fresh insights, cutting-edge tech, and real-world data stories from top minds in the field. Stay curious and stay inspired!
Learn more about the hottest topic's in data and AI.
Deep reinforcement learning AI achieves competitive esports lap times in Need for Speed Most Wanted using reverse-engineered game memory and a custom training environment, running on 10-year-old consumer hardware in just 24 hours of training.
Google engineer Christoph Mittendorf demonstrates AI use cases at Munich Datageeks: Like Lederhosen trend prediction using search data, running form analysis against Eliud Kipchoge, and Genie 3 open world models for gaming and robotics applications.
Karim built a bot testing housing applications in Munich. Western names got 4x more responses. Nationwide tests confirmed systemic bias. A decade later, he warns modern AI has made algorithmic discrimination far more sophisticated and opaque.
Fine-Tuning Language Models: When to customise Language Models for better performance by Laurens Tetzlaff from Netlight presented at Munich Datageeks - September Edition 2025. Abstract This talk covers how LLMs changed the way we do and see Data Science, a decision matrix on when to consider what type of GenAI
Backpropagation Boys: How to burn money with AI-generated music by Torsten Schön was presented at Munich Datageeks - September Edition 2025 Abstract This talk is about how someone with absolutely no musical talent managed to release eight albums within a year. From a first attempt and a somewhat crazy idea,
