With 587.4 million t/a of aggregates used, the construction industry is one of the most resource-intensive sectors in Germany. By substituting primary aggregates with recycled (RC) aggregates, natural
ForeSightNEXT is the lead project of the "SmartLivingNEXT" technology program funded by the BMWK and is developing the technological and economic basis for the creation of a secure, trustworthy and su
New robotic manipulation techniques and AI algorithms for the precise handling of objects in the sea using the example of ammunition dumps / UXO Approximately 1.6 million tonnes of ammunition, mainly
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
Partners Beteiligte wissenschaftliche Einrichtungen: − Carl von Ossietzky Universität Oldenburg (UOL) − Leibniz Universität Hannover (LUH) − Technische Universität Braunschweig (TUBS) − Technische Uni
Being able to guarantee unrestricted access to fresh drinking water is generally taken for granted. However, the appearance of clean water is deceptive - climate change and urbanization in particular
The European construction industry faces three major challenges: improve its productivity, increase the safety and wellbeing of its workforce and make a shift towards a green, resource efficient indus
The project deals with the further development of AI methods for the detection and analysis of litter in rivers and canals. Stationary camera systems are used, which enable long-term monitoring of the
The joint project "idFlexNetz" aims to create an ICT ecosystem that enables initially heterogeneous models and algorithms to be traded as digital goods on a marketplace with the help of a universal de