News and Events

An AI-supported tool that enables a new way of engaging with the parties' positions on the 2025 Bundestag elections: a team of students from the TUM School of Computation, Information and Technology, LMU Munich and the University of Cambridge has developed wahl.chat. [read more]

The Sarntal Valley in South Tyrol is a secluded place. But for 40 years now, the Sarntal has been attracting particularly promising students to spend twelve days here during the summer vacation. Professor Hans-Joachim Bungartz has been the director of the Summer Academy since 2006. [read more]

Fleet management for robotaxis, apps to combat the loneliness of city dwellers or to compare rental cars at lightning speed – this year's "hackaTUM" was once again all about creative solutions to practical problems. [read more]

Companies around the world consider graduates of the Technical University of Munich (TUM) to be exceptionally well qualified. This is seen in the latest edition of the Global University Employability Ranking. TUM is 13th worldwide and is number four in Europe. [read more]

In the SwingBots project, Prof. Alin Albu-Schäffer aims to construct an energy-efficient industrial robot that utilises natural oscillations. With the Proof of Concept Grant, he plans to identify the most promising applications, develop a prototype, and assess the potential for market introduction. [read more]

The European Research Council (ERC) will be funding five researchers at the Technical University of Munich with a Consolidator Grant. Among them is Professor Matthias Nießner from the TUM School of Computation, Information and Technology with the project Gen3D: Learning to Create Virtual Worlds. [read more]

The enormous computing resources needed to train neural networks for artificial intelligence (AI) result in massive power consumption. Felix Dietrich, a professor of Physics-enhanced Machine Learning, and his team developed a method that is 100 times faster and therefore much more energy efficient. [read more]

Sarah Rachut was honored by academics and ZEIT Verlag for her outstanding achievements. Together with CIT Adjunct Professor Dirk Heckmann, Professorship for Law and Security in Digital Transformation, the young doctoral researcher demonstrated how law can be used to shape the digital transformation. [read more]

Machine learning methods can be used to draw conclusions about the function and health of cells. Researchers at the Technical University of Munich and Helmholtz Munich have now tested self-supervised learning on 20 million cells or more. A promising approach. [read more]

Finn Klessascheck is a doctoral student and research assistant at the CIT site in Heilbronn. In the Cloudcomputing Insider podcast, he explains what increasing automation initiatives - especially in the area of business process management (BPM) - can bring to employees and companies. [read more]