News and Events

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]

Three students from the TUM School of Computation, Information and Technology want to use innovative technology to make life easier for people who are hard of hearing. They will be presenting their student project Sonovision at the electronica trade fair in November 2024. [read more]

With the start of lectures in the winter semester, chatbot Iris is also back in action. She offers computer science students personalized assistance with programming exercises. Several lecturers are currently using Iris in their courses. She thus supports several thousand students. [read more]

How can a connection be created between the human brain and a computer? This is the question studied by the neuroTUM student club, founded at the Technical University of Munich (TUM). The aim is to make neurotechnology more accessible to students and to help people with physical disabilities. [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]

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]