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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

Interior view of an industrial hall at the LRZ with the SuperMUC high-performance computer.
3/6/2025
Reading time: 3 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
2/14/2025

Podcast "We Are TUM"

How we use and shape AI

In this episode of "We Are TUM", we talk to CIO Alexander Braun about our university's new AI strategy. We also take a look at the current state of using artificial intelligence in research and teaching with Prof. Alena Buyx and Ben Lenk-Ostendorf.

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Teaching Studies Research Artificial Intelligence Community
2/12/2025
Reading time: 3 Min.

Artificial intelligence in university development

TUM issues a comprehensive AI strategy

The Technical University of Munich (TUM) has developed a far-reaching strategy for the use of artificial intelligence (AI) in research, teaching, and administration. The TUM AI Strategy defines the framework for the responsible implementation and use of AI technologies in all dimensions of the university.

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President Teaching Studies Research Campus news Artificial Intelligence Community
Over 200 students from different backgrounds are to be trained in the field of cyber security.
2/5/2025
Reading time: 3 Min.

TUM launches new program with support from Google

More cybersecurity specialists in Germany

The Technical University of Munich (TUM) is launching a new Cybersecurity Program which will offer over 200 students from diverse backgrounds the opportunity to learn more about the field of cybersecurity. Through the program, the students will also get an understanding of how the cybersecurity skills they learn in the classroom can be applied in real-life situations to help defend local organisations at risk from cyberattacks. To realise these goals, TUM is receiving up to 1 million US dollars in support from Google.org - as the only German university.

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Teaching Studies Artificial Intelligence
Machine learning methods are applied to process enormous quantities of data.
1/23/2025
Reading time: 3 Min.

Artificial intelligence in biomedicine

A key to analyzing millions of individual cells

Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person’s cells differ from those of someone with a disease? To draw conclusions, enormous quantities of data must be analyzed and interpreted. For this purpose, machine learning methods are applied. Researchers at the Technical University of Munich (TUM) and Helmholtz Munich have now tested self-supervised learning as a promising approach for testing 20 million cells or more.

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Research Artificial Intelligence
1/9/2025
Reading time: 4 Min.

NewIn: Orestis Papakyriakopoulos

The way to fair digital technologies

As Professor of Societal Computing, Orestis Papakyriakopoulos studies how algorithms and AI models can be made less discriminatory. In this issue of NewIn, he talks about why his work has to move quickly, why he is optimistic that digital technologies will become more inclusive and what role the TUM Think Tank will play.

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Studies Research Sustainability Artificial Intelligence Community
1/7/2025
Reading time: 3 Min.

Educational technologies

Learning better with artificial intelligence

Elementary school students experience lessons with robots and AI tools at the TUM Center for Educational Technologies.

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TUM Magazine Artificial Intelligence Public Engagement
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