Agile and intelligent: The “Donbot” robot is an in-house development.

© Jens Lehmkühler / U Bremen Research Alliance

Due to the increasing digitalization, methods of Artificial intelligence (AI) have steadily gained importance. Benefiting from rapidly growing amounts of data and new dimensions in computing power, AI-based learning methods outperform traditional methods. Given this fact, Artificial Intelligence is one of the lead projects of the U Bremen Research Alliance.

The lead project Artificial Intelligence deals with AI research in all its different forms in the the thirteen member institutions of the U Bremen Research Alliance. In order to build a network between research groups, support joint activities and use synergy effects, following activities take place in the lead project Artificial Intelligence:

© Fraunhofer MEVIS

AI Center for Health Care

Establishing the AI Center for Health Care addresses the critical relevance of artificial intelligence in relation to health research. The intention aims at the cooperation of the member institutions and in particular at funding PhD students working in interdisciplinary projects. T

to the AI Center for Health Care

Peer-to-Peer Network Artificial Intelligence

The Peer-to-Peer Network Artificial Intelligence provides experienced researchers in the U Bremen Research Alliance the opportunity to exchange ideas among each other, cooperate and use synergy effects with respect to AI topics. In particular the network shall connect AI research and AI application.

to the Peer-to-Peer Network Artificial Intelligence

Lead Project News

 

Conference Recap: IJCAI-ECAI 2026 in Bremen

With several thousand participants from more than 40 countries, Bremen became a meeting place for the international AI research community for one week. IJCAI-ECAI 2026 combined cutting-edge research on agentic AI, robotics, and machine learning with debates on regulation, application, and societal responsibility. The 35th International Joint Conference on Artificial Intelligence, held jointly this year with the European Conference on Artificial Intelligence, brought together academia, business, policymakers, and the broader urban community from August 15 to 21. The main program, held from August 18 to 21 at Congress Centrum Bremen, was accompanied by preceding workshops and tutorials as well as public events.

 

Summer of AI in Bremen

As part of IJCAI-ECAI 2026, public lectures, interactive formats, and dialogue-oriented events will make artificial intelligence tangible and accessible in Bremen. The programme is aimed at citizens, school students, trainees, and companies. It addresses questions that affect many people in their everyday lives: How is AI transforming media, education, public administration, and work? How can AI systems remain safe, transparent, and comprehensible? And how can people use, shape, and govern AI responsibly?

 

AI in Health - November 27, 2025

For the fourth time, the Bremen symposium “AI in Health”, organized by the U Bremen Research Alliance, will bring together experts from research, practice, and industry. Look forward to engaging talks and insightful exchanges with leading minds from medicine, science, and technology. The evening reception at the Bremen Chamber of Commerce will offer space for deeper conversation and networking.

Speakers of the AI Lead Project

Prof. Dr.-Ing. Horst K. Hahn
© Olaf Klinghammer / Fraunhofer MEVIS

Prof. Dr.-Ing. Horst Hahn

Institute director Fraunhofer Institute for Digital Medicine

horst.hahn@mevis.fraunhofer.de

More information:
https://www.mevis.fraunhofer.de/en/employees/horst-hahn.html

© Felic Amsel / DFKI

Prof. Dr. Frank Kirchner

Executive Director DFKI Bremen Robotics Innovation Center

Frank.Kirchner@dfki.de

More information:
https://www.dfki.de/web/ueber-uns/mitarbeiter/person/frki01

Coordinator of the AI Lead Project

[Translate to English:]
© Shanice Allerheiligen / U Bremen Research Alliance

Dr.-Ing. Monika Michaelis

Deputy Director / Artificial Intelligence

c/o Universität Bremen
UNICOM – Haus Oxford
Mary-Somerville-Straße 2
28359 Bremen
monika.michaelis@vw.uni-bremen.de
Phone: +49 421 218 60045