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Artificial Intelligence (AI)

At TUM, we are investigating and developing intelligent systems, while keeping an eye on our responsibility for people and society at all times. Find out what's new in the fields of AI, robotics, machine learning and data science.

Current projects
Graphical representation of AI as a head with numerous ones and zeros. iStockphoto.com/ Ryzhi

Artificial Intelligence

AI applications are profoundly changing the world of work, research and everyday life. We are helping to shape this technological progress: in research, in studies and teaching and in the field of entrepreneurship. This includes new methods and applications of AI, subject-specific degree programs, new teaching and learning methods and cooperation with industry.

AI at the TUM

Dr. Jacqueline Lammert
4/11/2025
Reading time: 2 Min.

Bavarian High-Tech Awards awarded for the first time

Young Investigator Award for cancer researcher at TUM University Hospital

The Bavarian State Government, together with the Bavarian Academy of Sciences and Humanities, has awarded the Bavarian High-Tech Awards to promising talents and outstanding researchers for the first time. Among the winners is Dr. Jacqueline Lammert, who leads the "AI in Women's Health" research team at TUM University Hospital. She received the 30,000 euro prize for young researchers.

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Research Campus news Artificial Intelligence
Boris Paal, Professor of Law and Regulation of the Digital Transformation
4/10/2025
Reading time: 1 Min.

NewIn: Boris Paal

Shaping technology development with legal frameworks

Boris Paal is a legal expert at a university without a law department or degree program in law. In the latest issue of NewIn, he explains why this is exactly the right place for his research and teaching on IT and data law and how legal science is becoming a force in shaping innovation.

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Studies Research Artificial Intelligence Community
NewIn: Stephan Krusche
3/27/2025
Reading time: 1 Min.

NewIn: Stephan Krusche

AI-supported studying

Artificial intelligence (AI) is changing the way students learn. In this issue of NewIn we meet Prof. Stephan Krusche. He is developing a learning platform with an integrated AI chatbot that not only provides students with solutions, but also offers context-specific help.

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Studies Research Artificial Intelligence Community
3/12/2025
Reading time: 1 Min.

Pioneering educational project by TUM and the Roland Berger Foundation

Supporting socially disadvantaged children with AI

Artificial intelligence (AI) will shape the future - but not all children have the same opportunities to learn how to use it. A unique educational project by the Technical University of Munich (TUM) and the Roland Berger Foundation (RBS) addresses precisely this issue: Socially disadvantaged schoolchildren are to develop AI skills at an early age in order to actively shape the digital future.

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President Research Artificial Intelligence Community Public Engagement
3/11/2025
Reading time: 3 Min.

Autonomous vehicle thinks for itself

Robot Jack moves like a human

Researchers at the Technical University of Munich (TUM) have developed a wheeled robot that makes its way through a crowd of people safely and without hesitation. A computer on board predicts the movement of people in the vicinity and how they are likely to react to the robot. From this, it calculates the fastest route. Similar algorithms could also be used for humanoid robots or autonomous driving to enable safe interaction between robots and humans.

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Research Artificial Intelligence
3/10/2025
Reading time: 4 Min.

Now in use at first school in North Rhine-Westphalia

AI-based math: individualized support for schoolchildren

Researchers at the Technical University of Munich (TUM) and the University of Cologne have developed an AI-based learning system that recognizes strengths and weaknesses in mathematics by tracking eye movements with a webcam to generate problem-solving hints. This enables teachers to provide significantly more children with individualized support.

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Research Artificial Intelligence
Interior view of an industrial hall at the LRZ with the SuperMUC high-performance computer.
3/6/2025
Reading time: 2 Min.

Training neural networks more efficiently

New method significantly reduces AI energy consumption

The enormous computing resources needed to train neural networks for artificial intelligence (AI) result in massive power consumption. Researchers at the Technical University of Munich (TUM) have developed a method that is 100 times faster and therefore much more energy efficient. Instead of taking an iterative approach, the parameters are computed directly based on probabilities. The results so far are comparable in quality to existing iterative methods.

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Research Sustainability Artificial Intelligence Energy
Federal Minister for Digital and Transport Volker Wissing takes a selfie with the finalists of the Digital Future Challenge 2025 in the room of the award ceremony in the ministry; in the foreground a standing desk with microphones, in the background on the right a screen with a projected slide of the Federal Ministry for Digital and Transport
2/24/2025
Reading time: 3 Min.

TUM teams take first and third place in the Digital Future Challenge 2025

Digitization serving society

“Shaping the digital future” was the motto of the fifth Digital Future Challenge organized by Initiative D21 and the Deloitte Foundation. The student competition focused on innovative approaches for use cases in the areas of “Europe,” “Climate & Environment,” and “Inclusion.” More than 70 groups took part – and with their AI-supported approach to using district heating networks as energy storage systems, the joint TUM and LMU team “Gridnaition” won the final.

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Studies Artificial Intelligence Community Public Engagement
Dr. Sarah Rachut, managing director of the TUM Center for Digital Public Services
2/21/2025
Reading time: 2 Min.

TUM researcher receives award for interdisciplinary legal research

"Legal regulation as a factor in shaping the digital transformation"

Traditionally a subject of study in law departments, legal topics are becoming an increasingly focus of interdisciplinary activities at technical universities – especially in the context of shaping the digital transformation. This is the starting point for the research of Dr. Sarah Rachut, managing director of the TUM Center for Digital Public Services. She combines the legal aspects with technological and societal perspectives in pursuit of the goal of digitization processes that serve the common good. For her outstanding achievements, Sarah Rachut has now been honored as one of Germany’s best young scientists by the ZEIT Verlag publishing group and Academics, a careers portal for talented graduates and academics.

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Research Artificial Intelligence Community
Group photo of the five founders of wahl.chat Sebastian Maier, Anton Wyrowski, Michel Schimpf, Robin Frasch and Roman Mayr, standing in a prestigious room in front of golden columns and paintings on the walls
2/18/2025
Reading time: 3 Min.

wahl.chat: A student-created AI tool supports voting decisions

Technology for Democracy

With only a few days to go until the Bundestag elections, it’s high time to determine who to vote for. Which party shares my values? Who pursues which policy goals? But also: How realistic is their implementation, and what consequences would it have? With wahl.chat, five students from TUM, LMU, and the University of Cambridge have created an AI-based online tool that can provide well-founded answers to such complex questions – and thus strengthen democratic participation.

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Studies Artificial Intelligence Community Public Engagement
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