The University of Tübingen and the Max Planck Institute for Intelligent
Systems join forces to shape the next generation of machine intelligence
developing more robust, efficient and accountable learning systems.
Tübingen AI Center aims to build learning systems that approach the versatility and robustness
exhibited by natural intelligent systems. Machine learning is at the heart of a technological
and societal revolution, although today’s learning systems do not generalize well to new situations,
cannot learn from few examples, and do not infer causal relationships. Addressing these deficits
and developing robust AI systems will help ensure technological leadership and thus help us deploy
AI systems responsibly and to the benefits of society.
We are setting up a novel public research institution to attract the best scientists to advance AI,
train a student population of around 250, and generate positive impact in medicine, science, and technology.
Tübingen AI Center actively supports its members to engage in start-ups, part-time employments,
or other activities that help society benefit from AI research. It is part of a larger network,
formed at the national level by the network of BMBF competence centers, and at the European level
through close cooperation with partner institutions in a number of European countries