Presentation of the MDSI Best Paper Awards 2022 during the MDSI Opening Ceremony. From left to right: TUM President Thomas Hofmann; the award recipients Christine Eilers, Marten Lienen, Leon Hetzel, and Viviana Sutedjo; Bavarian State Minister for Science and the Arts Markus Blume; and MDSI Executive Director Stephan Günnemann.
The digital revolution is transforming societies, economies, and even science and its paths to knowledge. At the Munich Data Science Institute (MDSI), we are anticipating, accompanying and shaping this change.
We are TUM’s central interface and innovation hub for questions and solutions arising from Data Science, Machine Learning and Artificial Intelligence. We are connecting people and ideas across disciplines.
This course aims to provide the knowledge and tools necessary for efficient data handling throughout any research project. Participants will explore strategies for data…
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Don’t miss the next Munich AI Lecture with Prof. Shafi Goldwasser on “A Cryptographic Perspective on Machine Learning Trustworthiness Challenges”, taking place on Tuesday, 20…
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The Munich Data Science Institute (MDSI), the Konrad Zuse School of Excellence in Reliable AI (relAI), the Munich Center for Machine Learning (MCML), and the AI Hub@LMU are…
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On October 3, 2026, visitors from across the Munich region gathered at the Research Campus Garching Open Day 2026 to experience science firsthand. Offering fascinating insights into cutting-edge research through interactive demonstrations, hands-on activities, and inspiring conversations,…
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Researchers at the Technical University of Munich (TUM) and the BMW Group have combined sensor data from vehicles, traffic lights and overhead sign gantries to generate specific recommendations for road users. In less than 100 milliseconds, the AI system creates a digital picture of the situation…
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Driver-assistance systems are now installed in nearly all modern cars. As a result, safety depends on whether computer systems can reliably process sensor data. Researchers at the Technical University of Munich (TUM) are therefore investigating how these systems can be specifically manipulated -…
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Acknowledging her work on data systems, MDSI Core Member Jana Giceva is the third professor in Europe and at TUM to receive the prestigious VLDB Early Career Research Contribution Award from the VLDB Endowment, one of the highest international recognitions for emerging researchers in data management…
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The capabilities of artificial intelligence (AI) are growing rapidly; at the same time, energy consumption and costs are rising. This is where Pruna AI comes in: The startup develops highly efficient and cost-effective AI models. The goal is to keep AI accessible to researchers and businesses,…
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This course aims to provide the knowledge and tools necessary for efficient data handling throughout any research project. Participants will explore strategies for data…
[read more]
Don’t miss the next Munich AI Lecture with Prof. Shafi Goldwasser on “A Cryptographic Perspective on Machine Learning Trustworthiness Challenges”, taking place on Tuesday, 20…
[read more]
The Munich Data Science Institute (MDSI), the Konrad Zuse School of Excellence in Reliable AI (relAI), the Munich Center for Machine Learning (MCML), and the AI Hub@LMU are…
[read more]
Join Prof. Markus List on October 29, 2026, for an evening exploring bioinformatics and current research in the field. Discover how bioinformatics helps us better understand…
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Fit for TUMorrow Day 2026 takes place on Friday, October 30, 2026. Meet companies, explore opportunities for theses, internships and jobs, and join exciting workshops on…
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Get ready for American Society of Human Genetics Annual Meeting 2026 in Montreal! Join the global genetics community on October 20–24 for inspiring science, valuable…
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The Fourth Annual Conference on Neural Information Processing Systems (NeurIPS 2026) opens in Sydney, Australia on December 6, 2026, in Atlanta, Georgia on December 8, 2026,…
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Artificial intelligence at TUM
Contact
We are located at
Walther-von-Dyck-Str. 10, 85748 Garching, Germany, GALILEO Garching, TUM Building 05.8120.017, Entrance 8, 5th floor. info@mdsi.tum.de
If you use public transportation, please consider the MVV-Journey Planner to calculate your route to the nearby station Garching Forschungszentrum. With the U6 you can reach us from Marienplatz in 25 min.
Further locations
Members of the MDSI are located at various places in Munich and Garching. Please find contact information on the websites of our focus groups and members' chairs.
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