AI Innovation Seed

A central focus of the AI Innovation Center is direct cooperation with industrial companies: Feasibility studies (Quick Checks) and projects to develop initial prototypes (Exploring Projects) of AI applications. In addition, consortium projects and innovation networks are aimed at cross-company exchange.

DASH Board: Data Analytics for Sustainable Healthcare

The DASH Board pursues the analysis and use of patient data to develop innovative digital health solutions that optimize healthcare and ensure data security.

Explainable AI: Evaluation of explainability methods in the application

Explainable AI methods enable the traceability of AI decisions, especially in regulated industries. The project develops best-practice approaches for the use of XAI in real applications.

AI anomaly detection with limited data sets

Research on AI anomaly detection with limited data sets aims to develop and test efficient methods for identifying anomalies in various industries despite data scarcity.

AI solutions in productive use

The initiative offers companies support in the sustainable integration of AI, promotes the exchange of experience and develops concrete solutions for optimizing operational processes with the help of AI technologies.

AI-ready machining

The integration of AI in the mechanical engineering industry requires standardized interfaces for reliable data transmission. A technology comparison identifies suitable protocols for optimizing process monitoring and control.

Perception for automated handling of dimensionally stable components (AutoLab)

Automated handling of dimensionally unstable components optimizes assembly processes through AI-supported perception, handling and inspection to increase efficiency and quality in production.