Projects

Anomalies and defects in the production process cause high costs and have a negative impact on sustainability and productivity. If it is possible to detect such defects immediately when they occur, th

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

In an increasingly interconnected and dynamic world, crises are inevitable, hard to predict, and pose immense challenges that demand robust, effective and timely management. Over the last decade, vari

Das Verbundprojekt SeMoSys - Sektionsmontage und Systeme hat die Zielsetzung, die Fertigung von Strukturen und die Installation von Systemen in der Flugzeugfertigung zusammen zu führen und weitestgehe

Der rasante digitale Wandel fordert den Mittelstand und seine Beschäftigten. Damit kleine und mittlere Unternehmen (KMU) auch künftig an-schlussfähig bleiben, hat das Bundesministerium für Arbeit und

STAR is a joint effort of AI and digital manufacturing experts towards enabling the deployment of standard-based secure, safe and reliable human-centric AI systems in real-life manufacturing environme

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 RACKET project addresses the problem of detecting rare and unknown faults by combining model-based and machine learning methods. The approach is based on the assumption that a physical or procedur

DIGITbrain Project is an EU innovation program to give SMEs easy access to digital twins. A Digital Twin is the virtual representation of a product, system or process that simulates its physical attri

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