Here you will find an overview of the projects we are currently funding. On average, about 250 projects are being funded. Smaller funding projects are sometimes not described individually.
258
ongoing projects
Prof. Dr. Thomas Hartmann of Trier University of Applied Sciences is developing methods for trustworthy and autonomous AI in cyber-physical systems (CPS). As part of this work, he is conducting research on knowledge-graph-based digital twins that can be used to monitor AI models at runtime and validate their decisions.
AI4ChemRisk analyzes the risks of chemical pollution from wastewater and agriculture in our freshwater ecosystems. AI models are used to predict contamination processes in order to improve their management.
Prof. Dr. Wied Pakusa of Koblenz University of Applied Sciences is conducting research on new AI-based methods for process compliance testing. His research findings are intended to contribute to the secure and trustworthy automation of processes.
The GENAI-X project conducts research on the generalisability of AI models under constantly changing environmental conditions. Its goal is to enhance the understanding and prediction of environmental phenomena.
How can artificial intelligence in microbiome research lead to better early detection of Alzheimer's disease or type 2 diabetes? Novel AI models are being researched that are designed to predict the microbiome composition in the event of physiological changes.
The use of AI methods is a key prerequisite for ensuring the competitiveness of medium-sized companies. The "AI Booster" doctoral college at Aalen University is therefore researching new AI models in order to better process and utilize data from manufacturing processes.
The AI project team at Mannheim University of Applied Sciences (THM) is researching the combination of bio-sensors with AI algorithms to reliably monitor the freshness of food in retail stores in real time.
In pharmaceutical research, the early detection of undesirable or even absent effects of therapeutics represents the greatest hurdle to successful To achieve a breakthrough in the treatment of brain tumors, an AI-based model for the interplay of gene activity and therapy response is being developed. The goal is to predict the effect of drugs and optimize personalized therapies for cancer patients.
The Federal Artificial Intelligence Competition encourages students with strengths in mathematics, computer science or physics to develop creative solutions for the challenges of the future. The foundation supports this project as the main sponsor.
The Center for Applied Artificial Intelligence (ZAKI) at Ernst Abbe University connects actors from science, business and society. The aim is to advance artificial intelligence in these areas and, above all, to put it into practice.