Bethge Lab

Research group of Matthias Bethge at the University of Tübingen. AI Research Group at the University of Tübingen Neuro AI – Autonomous Lifelong Learning in Machines and Brains Human learning is rich in feats we have yet to fully mimic in machine learning—such as open-ended knowledge acquisition or cognitive mapping of the environment and actions for self-logging, navigation, reflection and planning. Our mission is to develop agentic systems that can learn, adapt, and generalize over time, mirroring the open-ended nature of learning both by individual humans and collectively in science. Our approach is rooted in data-centric machine learning, focusing on open-ended evaluation and scalable compositional learning. To this end, we explore multi-modal foundation models that support rapid retrieval, reuse, and compositional integration of selected knowledge, enabling scalable and flexible learning. Our previous research on these topics can be summarized under the following headings: