The Bethge Lab is an AI Research Group at the University of Tübingen, led by Matthias Bethge. Their research focuses on Neuro AI, specifically autonomous lifelong learning in machines and brains. The lab aims to develop agentic systems that can learn, adapt, and generalize over time, mirroring human learning. Their approach is rooted in data-centric machine learning, emphasizing open-ended evaluation and scalable compositional learning. They explore multi-modal foundation models to support rapid retrieval, reuse, and compositional integration of knowledge, enabling scalable and flexible learning. The lab also investigates topics such as open-ended model evaluation, language model agents, lifelong learning, brain representations, attention mechanisms, and AI sciencepreneurship.
AI research group focusing on autonomous lifelong learning in machines and brains.
- Understanding the principles of learning in machines and brains
- Developing AI systems that can learn and adapt over time
- Creating new tools for lifelong/infinite benchmarking
- Building language model agents for various applications
- Modeling brain representations for neural data analysis
- The website provides information about the Bethge Lab's research
- publications
- people
- and contact details. You can explore their projects
- read their publications
- and learn about their team members. The website also features news and information about partnerships and spin-offs.
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