News and Events

Tech Challenge, lectures by founders or Businessplan Basics - Europe's biggest center for entrepreneurship, UnternehmerTUM, offers programs for students in the winter semester. Register now! [read more]

Franconians together with Upper Bavarians, political scientists working with mathematicians, completely different socialization and professional cultures. Is that possible? Can it be fruitful? Students started the experiment. [read more]

In "THE World University Rankings by Subject", Technische Universität München is among the top 10 universities worldwide in computer science. Engineering is among the 20 best. Mathematics and Statistics are ranked 23rd. [read more]

The manager magazin inducts Prof. Claudia Eckert into the "Hall of Fame of German Research" for lifetime achievement. She is leading in her field of research. [read more]

Educational programs for AI experts: Founded by the Technical University of Munich (TUM) and Ludwig-Maximilians-Universität (LMU), the new Konrad Zuse School of Excellence in Reliable AI (relAI) will work with M.Sc. and Ph.D. students on issues related to the importance of reliable artificial intelligence (AI) for society. [read more]

Reducing methane emissions is considered a strong lever for achieving rapid progress in slowing global warming. Jia Chen and her team have undertaken a search for gas leaks and other sources of escaping methane in Hamburg and succeeded in identifying numerous previously undetected methane sources through their project. [read more]

Angela Dai is an Assistant Professor within the Professorship for Machine Learning of 3D Scene Geometry and leads the 3D AI group. For her project entitled "Spatial 3D Semantic Understanding for Perception in the Wild" the scientist has now been awarded an ERC Starting Grant 2022 by the European Research Council (ERC). [read more]

International researchers have developed the Human Lung Cell Atlas, using artificial intelligence (AI)-based techniques. This atlas elucidates the diversity of single lung cell types and allows learning about lung biology in health and disease. [read more]

Under the leadership of Julien Gagneur, Professor of Computational Molecular Medicine, a Munich research team has developed an algorithm that is significantly better than its predecessors at predicting the effects of genetic mutations on RNA formation. As a result, the genetic causes of rare hereditary diseases can be identified more precisely. [read more]