The manufacturing sector faces challenges such as increasing international competition, political tensions, material shortages or unpredictable natural events. The RAASCEMAN project aims to mitigate a
Brain-computer interfaces, or BCIs for short, offer a promising possibility for human-machine interaction based on brain signals, especially as an interface for the operation of assistance systems for
Adaptive and personalized AI systems in healthcare and well-being rely on information about users and usage situations to provide the best possible support. But, in situations of illness, pain, or whe
Anomalies and defects in the production process cause high costs and have a negative impact on sustainability and productivity. If it is possible to detect such defects immediately when they occur, th
Adra-e - Supporting the AI, Data and Robotics Community in the Development of a Sustainable European Ecosystem Adra-e is a Coordination and Support Action (CSA) funded by the European Commission under
Recent advances in Machine learning (specifically Computer Vision and Reinforcement Learning) allowed robots to understand objects and the surrounding environment on a perceptual non-symbolic level (e
New regulations in the Medienstaatsvertrag (MStV) present the state media authorities with new, diverse tasks in the area of media intermediaries: These must disclose what happens in the background wh
The goal of Ophthalmo-AI is to develop better diagnostic and therapeutic decision support in ophthalmology through effective collaboration of machine and human expertise (Interactive Machine Learning