Applied Artificial Intelligence

Contact

Group Lead

Prof. Dr.-Ing. Daniel Sonntag

Office

iml-sek@dfki.de

Office hours by appointment

Address

Stiftungsprofessur Künstliche Intelligenz
Marie-Curie Str. 1
D-26129 Oldenburg

See also

Applied Artificial Intelligence

The "Applied AI" research group, which is integrated into the Interactive Machine Learning research area of the German Research Centre for Artificial Intelligence (DFKI), focuses on the application and adaptation of artificial intelligence methods to, for example, industrial and medical applications. The topic of sustainability plays a major role in Oldenburg.

Research-relevant application aspects primarily address the use of learning systems and intelligent user interfaces. Particular areas of focus are multimodal input and output as well as multisensor applications using environment and state recognition, sensor data processing and questions of real-time capability and interactivity when learning from very large or very small amounts of data, through to reliability aspects (including trust in AI and explainable AI).

Regardless of specific subject areas, the overarching research goal is to design guidelines for the practical application of artificial intelligence. In addition, basic research is carried out in the interdisciplinary field of human-machine interaction in combination with machine learning.

Student projects for AI transfer are particularly important to us, a selection can be found here: iml.dfki.de For Bachelor's and Master's theses, please contact Hannes Kath.

News

InterSurge 2025: IML showcases “AI in medicine”-projects in the IML showroom

On November 21 and 22, 2025, the interdisciplinary congress InterSurge on the digital future of medicine, took place at the event location CORE in Oldenburg. Experts from medicine, science, technology, business, and politics came together to discuss new impulses for a sustainable healthcare system. Keynotes and presentations offered practical insights into current developments in AI, sustainability, and digital transformation. In workshops and hands-on sessions, participants discussed specific applications from areas such as AR, VR, and robotics—accompanied by live demonstrations and interactive formats.

On November 21 and 22, 2025, the interdisciplinary congress InterSurge on the digital future of medicine, took place at the event location CORE in Oldenburg. Experts from medicine, science, technology, business, and politics came together to discuss new impulses for a sustainable healthcare system. Keynotes and presentations offered practical insights into current developments in AI, sustainability, and digital transformation. In workshops and hands-on sessions, participants discussed specific applications from areas such as AR, VR, and robotics—accompanied by live demonstrations and interactive formats.

The Interactive Machine Learning team presented its latest research in the CORE IML showroom through video demonstrations, offering visitors insights into innovative projects, including:

  • Ophthalmo AI – A Clinical Decision Support System to support ophthalmologists in the treatment of Diabetic Retinopathy and Age-related Macular Degeneration
  • Mulitlayered Clinical Semantic Annotation – advanced medical data analysis
  • CBM-RAG – an interactive system that leverages Explainable AI (XAI) and Multi-Agentic Retrieval-Augmented Generation (RAG) to enable transparent and trustworthy radiology report generation.

InterSurge 2025 was a very successful and well-attended congress, highlighting the strong relevance of medical AI solutions.

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