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
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
The goal of the research project KAINE (Knowledge based learning platform with Artificial Intelligent structured content) is to better take into account the prior knowledge and experience of the parti
Robotic Process Automation (RPA) enables further automation of processes across existing systems. As RPA can act like humans and thus is able to read, transfer, and enter data in graphical user interf
In an increasingly interconnected and dynamic world, crises are inevitable, hard to predict, and pose immense challenges that demand robust, effective and timely management. Over the last decade, vari
Der rasante digitale Wandel fordert den Mittelstand und seine Beschäftigten. Damit kleine und mittlere Unternehmen (KMU) auch künftig an-schlussfähig bleiben, hat das Bundesministerium für Arbeit und
STAR is a joint effort of AI and digital manufacturing experts towards enabling the deployment of standard-based secure, safe and reliable human-centric AI systems in real-life manufacturing environme
Developments in recent years, such as low-cost hardware for enormous computing power and machine learning techniques, have given AI new impetus in medicine as well, and in many medical application fie
The RACKET project addresses the problem of detecting rare and unknown faults by combining model-based and machine learning methods. The approach is based on the assumption that a physical or procedur
Potentials Knowledge Graphs (KGs) get an increased interest in research and industry to represent data, information and knowledge from various sources in ontology-based graph structures. In addition,