Projects

In the application areas of production planning and engineering, the lack of interoperability between tools, methods and formats is still a common problem. The aim of the project "Artificial Intellige

The APRIL project aims at prototyping low cost and agile market-oriented multipurpose, and easy to repurpose, autonomous dexterous robots; which will manipulate, assemble or process different soft and

The innovation competition "Artificial Intelligence as a Driver for Economically Relevant Ecosystems" (AI Innovation Competition) of the Federal Ministry of Economic Affairs and Energy (BMWi) is a fir

Deep learning methods are used in many application areas and work very efficiently after a training phase. However, in general no reliable statement can be made about their correctness. In contrast, t

The aim of the VerSys project is to develop a consistent platform for early software development based on RISC-V technology, an instruction set architecture for microprocessors which has been develope

SUITE tests concepts of machine learning and multi-agent technology in Smart Home. On the basis of smart meter data, intelligent audio systems, selected smart home sensors and building automation data

The goal of KI-mobil is the realization of an AI-supported software platform for disruptive, resource-saving and high-performance mobility concepts, which intelligently combines individual and public

Die Verbindung von Sachgütern und Dienstleistungen zu hybriden Leistungsbündeln führt zu neu gebündelten Formen der Wertschöpfung: Das Produkt wird zum materiellen Träger einer Vielzahl von Dienstleis

The objective of EVAREST is the development and utilization of data products as economic goods in the ecosystem of food production based on an open, technical data platform, which is designed beyond c

Seven partners from research and industry have come together in SHARC to develop innovative concepts for sustainable energy management in port areas. Among others, the integration of renewable energy