News from the baiosphere

In order to promote Europe's innovative strength in trustworthy AI, the EU Commission is calling for proposals for AI factories by December 31, 2025. An AI committee and investment portal will accompany the project.
In a current study at Friedrich-Alexander-Universität Erlangen-Nürnberg, researchers are using AI to analyze spontaneous brain activity. The technology helps in the diagnosis and treatment of neurological diseases.
The signed framework agreement is the first legally binding international agreement on AI. The aim is to ensure that AI systems comply with human rights and are in line with democracy and the rule of law.
Under the leadership of the University of Bayreuth, FORAnGen is conducting research with partners such as FAU Erlangen-Nuremberg, TU Munich and several companies on the development of resource-saving products using AI and generative design.
MoralPLai, a TUM research project, uses theater to explore and communicate the ethical challenges of AI. The project creates a space for public participation and scientific exchange.
Markgraf is a pioneer in autonomous transport robots, supported by the laboratory team for automation and robotics in construction at OTH Regensburg. This is how the company is driving digitalization in the construction industry.
On November 28, Bavaria's Minister of Economic Affairs Hubert Aiwanger gives the go-ahead for the new support platform for SMEs. Find out more about AI and use the technology for your company!
The initiative of Women in AI & Robotics, appliedAI and baiosphere, promotes an inclusive AI community in Germany and offers regular workshops, demos, expert panels and networking events. Find out more!
In this interview, Reinhard Heckel, Professor of Machine Learning at TUM, talks about data as the heart of training AI systems. Its quality often determines the accuracy and relevance of the answers in LLMs.
AI is revolutionizing everyday life, but targeted attacks reveal weaknesses. A new DFG-funded research project at JMU Würzburg and TU Munich is investigating how deep learning systems can become more resilient.