News from the baiosphere

How reliable and safe is AI? Fraunhofer IKS is investigating the role of metrics in assessing the safety of AI systems and is working on a framework to quantify uncertainty.
Bavaria's Minister of Finance Albert Füracker and UTN founding president Alexander Martin signed a declaration of intent on August 2. The aim: AI integration in the administration for more cost-effective and faster tax processes.
Just in time for the entry into force of the AI Act, the European AI Office is calling for input on a code of conduct for general purpose AI models. Take part in the multi-stakeholder consultation until September 10!
The new Research Center for AI in Science & Society (RAIS²) at the University of Bayreuth promotes interdisciplinary collaboration on the topic of artificial intelligence across different departments.
A study led by the Technical University of Munich (TUM) illustrates the clinical benefits of AI software in facial analysis. The study identified new genetic diseases in 34 patients.
From weather forecasting to aerospace - Uncertainty Quantification (UQ) is essential for precise decisions in complex systems. UQ improves the accuracy of forecasts and helps with risk assessment.
Robotics expert Sebastian Scherer emphasizes the importance of backup solutions for autonomous systems. Redundancy and machine learning are used to overcome challenges such as sensor failures and complex decisions.
Prof. Helge Stein from the Technical University of Munich (TUM) is using machine learning, AI and robotics to accelerate research in the laboratory to develop new materials for catalysis and batteries.
The Technical University of Munich (TUM) presents Iris, a chatbot that offers students personalized learning assistance. Iris helps students solve exercises and supports them in preparing for exams.
Munich AI Lectures series: Rethinking how machines work - MIT professor Daniela Rus presents her research approach of "Liquid Neural Networks".