Projects

A new framework for experimentation-driven analytics Extreme data characteristics represent a challenge for advanced data-driven analytics and decision-making in critical domains such as crisis manage

Entwicklung einer semantischen, KI-gestützten Suchfunktion für das Portal "Meere Online" für die Deutsche Allianz Meeresforschung (DAM)

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

Roboter und Menschen sollen gemeinsam in Rückbau- oder Dekontaminationsvorgängen industrieller Anlagen eingesetzt werden Partners Fraunhofer IOSB, Karlsruher Institut für Technologie (KIT), FZI Forsch

CALAHARI is a vision for a robot-assisted, semi-autonomous timber harvesting process. The synthesis of the requirements analysis for successful implementation in the forestry industry and the assessme

Many tasks underwater that previously required divers to operate under dangerous conditions can now be performed by remote-controlled underwater robots. Examples include inspection and salvage. Other

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

The project hyBit - hydrogen for Bremen's industrial transformation - is the starting point and at the same time the central initial impulse of a hydrogen hub in Bremen and furthermore the nucleus for

Aquatic research often relies on image and video data to gain knowledge about our oceans, lakes and rivers. Current challenges in this research area include analyzing human-caused littering or oil spi

Partners Wuppertal Institut für Klima, Umwelt, Energie gGmbH VDI Technologiezentrum GmbH VDI Zentrum Ressourceneffizienz GmbH