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

XPRIZE RAINFOREST Final

Researchers from DFKI Niedersachsen, together with doctoral candidates from the Applied Artificial Intelligence (AAI) chair at the University of Oldenburg, are in the final of XPRIZE Rainforest, a global competition that promotes new technologies for researching, assessing and conserving biodiversity in tropical rainforests. In Team Brazil, they are developing an AI system that filters out the acoustic signals that ecologists need to determine species diversity from a large number of audio files from the Brazilian rainforest. The team has exactly 48 hours to use and analyse the system in the final. It will take place in real time between 17 and 22 July 2024.

Researchers from DFKI Niedersachsen, together with doctoral candidates from the Applied Artificial Intelligence (AAI) chair at the University of Oldenburg, are in the final of XPRIZE Rainforest, a global competition that promotes new technologies for researching, assessing and conserving biodiversity in tropical rainforests. In Team Brazil, they are developing an AI system that filters out the acoustic signals that ecologists need to determine species diversity from a large number of audio files from the Brazilian rainforest. The team has exactly 48 hours to use and analyse the system in the final. It will take place in real time between 17 and 22 July 2024.

"Many resources from my endowed professorship AAI and DFKI's IML research department have been channelled into this project. This has already paid off. It is already a great success for the team to be among the first six finalists, with more than three hundred teams taking part at the start of the competition and fifteen in the semi-finals. Now it's time to keep our fingers crossed once again for the final." Prof Dr Daniel Sonntag

DFKI press release https://www.dfki.de/web/news/xprize-rainforest-2024

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(Changed: 11 Feb 2026)  Kurz-URL:Shortlink: https://uol.de/p79699n9571en
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