CV: Medical and Biological Imaging
The use of computer vision methods in medicine is increasing rapidly. The generation of reliable and accurate images of small tissue types holds enormous potential in the healthcare sector and promises great benefits for patients.
ML: Transparent, Interpretable, Explainable ML
The need for understandable AI is increasing in line with the growing number of algorithms that influence our daily lives. By improving the interpretation of predictions made by models, we can understand their behavior and optimize their performance.
SNLP: Conversational AI/Dialogue Systems
In the era of ChatGPT, the study of large language models has become of great importance and the possibilities of use are very diversified. Therefore, it is particularly important to create stable models.
ML: (Inverse) Reinforcement Learning
Reinforcement Learning is a main framework in the field of machine learning. The group focuses on increasing the efficiency of algorithm development by combining reinforcement learning with the power of automated machine learning.
ROB: Behavior Learning & Control
Robots are being used more and more in our everyday lives. It is important that we investigate how we can best integrate and train them in order to achieve a positive relationship between humans and robots.
CV: Approach to Computer Vision
ML: Deep Neural Networks
Trustworthy AI/Trust in Biometrics
When doctors make decisions, they need to be correct. AI can help to significantly increase accuracy and support the decision-making process by analyzing large amounts of data. However, it is important that the data is unbiased and the decision-making process is transparent so that we can best trust the decisions made by doctors and AI.
Human-Machine Teams (HAI)
Collaboration between humans and AI is crucial for success in solving complex digital problems. The fear that automation will take over jobs often dominates discussions about AI. But what if this promising possibility of human-AI collaboration simply makes certain tasks easier instead of taking them away and creates space for new activities?
HAI: Human-Computer-Interaction
There is no doubt that cooperation between humans and computers is one of the most important aspects of research in the field of AI. We need to learn how to integrate new technologies into our everyday lives to enhance our capabilities and make our lives more efficient.