News from the baiosphere

GARMI masters increasingly complex tasks thanks to ChatGPT and digital twin. At the ICRA 2024 robotics trade fair, TUM researchers demonstrate how the care assistant grasps objects, navigates safely and communicates with patients.
The Humboldt Professorships are attracting international scientists to German universities. Germany's most highly endowed research award goes to Prof. Jegelka and Prof. Sra, who are strengthening TUM in the field of AI and machine learning.
A team from Helmholtz Munich has developed the MISATO dataset, which trains AI models for the production of new drugs. This innovation represents an important advance in the use of AI in pharmacy.
Researchers at the Universities of Marburg and Würzburg warn against the premature use of AI in connection with lie detectors due to a lack of transparency, susceptibility to errors and a lack of theoretical basis.
In the winter semester 24/25, AIBE at FAU is introducing a new international Bachelor's degree program: Artificial Intelligence. Applications are now open. There is no NC, but there is an aptitude assessment procedure.
The first event on May 15 will explore the question “Artificial intelligence: Am I digital enough for this?”. The Bavarian AI Agency will explain the various possible uses of AI in everyday processes.
In the TUM robotics lab, Prof. Angela Schoellig controls drone flights using ChatGPT. A safety algorithm guarantees that the flight paths are error-free - a breakthrough for the use of LLMs in robotics.
The Mobility & Logistics Cluster supports companies in the area of internationalization as part of the DInO project. The project partner is asking for your feedback in the form of a survey in order to be able to optimize its services.
The Augsburg AI production network combines research and tradition. Since 2021, 133 projects and 7 start-ups have been created here. The key to success is the synergy between the six partners and 600 regional companies.
Dr. Reinhard Stolle, Head of the Business Unit Mobility at Fraunhofer IKS, discusses the challenges and advances in autonomous driving. From driver assistance systems to robotaxis - where do we stand today?