Projects

Das Projekt SECAI setzt durch den Einsatz von Künstlicher Intelligenz im Edge-Cloud-Umfeld intelligente, ökologisch nachhaltige und schnell umsetzbare Lösungen für das Heizen von Privatwohnungen a

This project is based on the insight that in order to significantly reduce the CO2 footprint of ML applications power-aware applications must be as easy to develop as standard ML systems are today. Us

Artificial Intelligence (AI) has a major impact on many sectors and its influence is predicted to expand rapidly in the coming years. One area with considerable untapped potential for AI is the field

Artificial intelligence (AI) is being applied widely in many domains and there is a need to realize public trust in these systems. Calls are made to develop a dedicated science to study machine behavi

Partners Beteiligte wissenschaftliche Einrichtungen: − Carl von Ossietzky Universität Oldenburg (UOL) − Leibniz Universität Hannover (LUH) − Technische Universität Braunschweig (TUBS) − Technische Uni

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

ENGAGE is a project within the framework of the strategic research and innovation agenda of DFKI and Inria in the field of artificial intelligence. Advances in machine learning algorithms and hardware

For service operations on satellites or the exploration of foreign planets, robotic systems will be of particular interest in the future, as they are relatively inexpensive compared to manned space fl

Das technische Zielsystem des Vorhabens besteht aus einer hybriden Cloud, an die die vhs.cloud und der EULE-Lernbereich angedockt sind. Kernbestandteil des technischen Zielsystems ist ein Multiagenten

The application of AI methods appears to be useful in agriculture because the environment is highly dynamic, not fully known and not fully controllable. If AI-based applications are carried out on the