At the University of Passau, digital actors from industry, academia, and government are working together to advance digital systems research through IRIXYS, a new interdisciplinary network.
At TUM, the Munich School of Robotics and Machine Intelligence is carrying out cutting-edge interdisciplinary research into AI and robotics for everyday life.
Professor Peter Bell is a pioneer in the fields of art history and machine vision. His research will help improve our understanding of cultural heritage, and reflects contemporary discussions about AI bias.
Applied computer scientists at the University of Bamberg are currently developing an AI medical companion that will help doctors in recognising and diagnosing types of cancer and pain.
The AI mobility hub "AImotion Bavaria" at the University of Applied Sciences Ingolstadt (THI) has taken over further development of the adaptive mobile manipulator R10-D10. Read on to find out how this AI-enabled, autonomous, and easy-to-program robot learns to optimize production processes in manufacturing.
Gastprofessor Alessandro Zimmer stärkt an der THI Kooperationen zwischen Bayern und Lateinamerika, indem er Forschung im Bereich Künstliche Intelligenz und Mobilitätstechnik weltweit antreibt.
Artificial intelligence (AI) is already being used in the medical field to evaluate data or search for patterns in large amounts of data. Researchers at Technical University of Munich (TUM) are working on making these human-AI collaborations safe, reliable and efficient.
The MCML is one of Germany's leading research centers for AI and machine learning. It brings together the expertise of renowned researchers and young talents. Three international researchers who moved to Munich to advance their academic career, tell us about their research activities.
How can robots be integrated into workplaces to promote worker mental well-being and efficiency? The MindBot project is researching how a user-centered approach using collaborative robots can do just this.
How can automated driving in severe weather be made more safe? Doctoral candidate Mohamed Mofeed Chaar is using machine learning to achieve the vision of accident-free road traffic.
