Applied Artificial Intelligence

Contact

Group Lead

Prof. Dr.-Ing. Daniel Sonntag

Office

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 part of the Interactive Machine Learning research department at the German Research Center for Artificial Intelligence (DFKI), focuses on applying and adapting artificial intelligence methods to, for example, industrial and medical applications. Sustainability is also a major topic in Oldenburg.

Research-relevant application aspects primarily concern the use of learning systems and intelligent user interfaces. Key areas of focus include multimodal input and output and multisensor applications involving environmental and state recognition, sensor data processing, and issues of real-time performance and interactivity when learning from very large or very small datasets, as well as reliability aspects (including trust in AI and explainable AI).

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

Student AI transfer projects are especially important to us. You can find a selection here: iml.dfki.de. For Bachelor's or Master's theses, please contact or .

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.

(Changed: 11 Feb 2026)  Kurz-URL:Shortlink: https://uol.de/p79699n12549en
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