News and Events

For the eighth time, highly motivated coders gathered at "hackaTUM" to work on exciting future-oriented projects with leading industry partners. [read more]

The Technical University of Munich (TUM) is celebrating the official launch of the Munich Data Science Institute (MDSI). As an integrative research institute, MDSI will pool the expertise of more than 60 professors in the fields of data science, machine learning and artificial intelligence. [read more]

In the future, master's students from both universities will be able to obtain a master's degree in Data Science at the University of Queensland in addition to their degree in Informatics at TUM. The aim of the double degree programs is to incorporate the strengths of the study programs of the… [read more]

The chair for Human-Centered Technologies for Learning (Prof. Enkelejda Kasneci) offers a course on "AI-assisted writing: the new way to get ahead" as part of the TUM Project Weeks. [read more]

Epidemics have immediate and long-term effects on people worldwide. In March 2023, young researchers from Africa and Europe will deepen their understanding of the mathematical fundamentals of infectious disease modeling. [read more]

Professor Can Dincer develops biochemical sensors for minimally and non-invasive wearables for patient-centered diagnostics. In the video series "NewIn", he explains how health metrics like blood sugar and heart rate can be measured through breath analysis and wearable devices. [read more]

The Technical University of Munich (TUM) is ranked among the top 20 worldwide in the QS World University Rankings by Subject for the first time, placing 18th in Natural Sciences and 19th in Engineering & Technology. Additionally, it ranks among the top 50 universities in 12 subjects. [read more]

In the Central Electronics and Information Technology Lab (ZEITlab) of the TUM School of Computation, Information and Technology (CIT), a new large-scale instrument was inaugurated at a ceremony on January 30, 2025. It was sponsored by the company Rohde & Schwarz. [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]