Projects

WAVE – Knowing, using, understanding and experiencing artificial intelligence

Artificial intelligence is the key topic of 2019. AI-based systems and applications are already part of our lives in a variety of ways: industrial …

FDT – Forum Digital Technologies

The Forum Digital Technologies is a networking plattform and exhibition space for research projects and innovations in the area of digital …

AI4EU – A European AI On Demand Platform and Ecosystem

AI4EU is the European Union’s landmark Artificial Intelligence project, which seeks to develop a European AI ecosystem, bringing together the …

SmartMobi – Baukastensystem für mobile Industrie 4.0-Apps

Im Forschungsprojekt SmartMobi werden die Herausforderungen bei der Entwicklung von individuellen mobilen Anwendungen für Industrie-Szenarien …

SHARC – EnEff:Bremerhaven - Smart Concepts for Sustainable Energy in Ports

Seven partners from research and industry have come together in SHARC to develop innovative concepts for sustainable energy management in port areas. …

SENSE – Semantisches Interoperables Smart Home

The project "Semantic Interoperable Smart Home" (SENSE) aims to further develop various smart home services for energy, mobility, health, safety and …

NAWID – Digitalisation, professional training and demography

Digitalisation, professional training and demography Artificial intelligence and assistance and knowledge services are a key part of the changing …

GEOBOX – Standardisierung der Geobox-Infrastruktur - Dezentrale Datenhaltung und regionale Vernetzung

- Partners Technische Universität Darmstadt (TU Darmstadt) Kuratorium für Technik und Bauwesen in der Landwirtschaft e.V. (KTBL Darmstadt) …

HeadSense – Adaptive, Multimodal Sensing with Unobtrusive Head Mounted Devices

Complex head/face-based devices will become increasingly suitable for use in everyday situations in the future due to a combination of changing …

MES4SME – MES-Datengetriebene Optimierung der Produktionsplanung bei Kleinen und Mittelständischen Einzelfertigern

Die dynamische Natur produktionsprozessbezogener Parameter erfordert den Einbezug von Unsicherheiten in die Fertigungsplanung. Bei der …