News and Events

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]

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]

Professor Daniel Rückert is a new member of the Royal Society. The British Academy of Sciences is thus recognizing his scientific achievements in the field of artificial intelligence (AI) and medical image computing. [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 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]