Methods and Algorithms
To solve complex real-world tasks we develop machine learning solutions using state-of-the-art supervised Deep Learning methods as well as self-supervised approaches and evaluate their quality along different quality dimensions.
Medical Time Series
Fraunhofer HHI employs state-of-the-art AI methods for medical time series to solve pressing healthcare challenges and support users with innovative solutions.
Trustworthy AI
Our research actively focuses on the development and definition of trustworthy AI, in harmony with the AI Act and European guidelines for safe innovation in artificial intelligence.
Environment and Weather
Cutting-edge AI and machine learning are reshaping weather and hazard forecasting, enabling more accurate predictions and better preparedness for extreme events.
Multimodal AI-Methods
We showcase several projects from climate and health domains where we leveraged multimodal data to create AI models that are more flexible, performant and trustworthy.
Applied Machine Learning for Industry
We are always strongly interested in developing solutions for real-world problems tailored for specific industrial sectors and therefore always welcome new industrial cooperations to explore new challenges.