AI research group focusing on autonomous lifelong learning in machines and brains.
What is the Bethge Lab?
The Bethge Lab is an artificial intelligence research group at the University of Tübingen led by Matthias Bethge. The lab’s research focuses on neural artificial intelligence, specifically autonomous lifelong learning in machines and the brain. The lab aims to develop agent systems capable of learning, adapting, and generalizing over time, mimicking human learning. Their approach is based on data-driven machine learning, with an emphasis on open evaluation and scalable combinatorial learning. They explore multimodal foundational models to support rapid retrieval, reuse, and combinatorial integration of knowledge, thereby 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 science entrepreneurship.
How do I use Bethge Lab?
This website provides information about the Bethge Lab's research, publications, staff, and contact details. You can browse their projects, read their publications, and learn about their team members. The website also features news and information about partnerships and spin-off companies.
Core Functions of the Bethge Lab
Research on Neural Artificial Intelligence and Autonomous Lifelong Learning
Development of a Proxy System
Exploring Multimodal Foundation Models
Research on Brain Representations and Attention Mechanisms
Collaboration Between AI Science Startups and Early-Stage Companies