Research focus II: Artificial Intelligence

Intelligent systems will become important in more and more areas of life in the future, for example in autonomous vehicles (mobility), as household help in everyday life (IoT) or robots in the human body to combat and diagnose diseases (health). It is no wonder that both basic research and industry worldwide are working to further boost the intelligence of machines, and artificial intelligence is considered a key technology of the 21st century.

Based on core competencies in the areas of "Multimedia Pattern Recognition" and "Data Science", Mike Friedrichsen wants to conduct research in the most important competence and research fields of artificial intelligence and its applications in robotics, image and language processing, and process optimization. The thinking here is in terms of hybrid AI solutions: Here, Mike Friedrichsen would like to combine a mixture of knowledge-driven research approaches with data-driven approaches in scientific collaboration with colleagues worldwide.

The knowledge-based approach uses world knowledge provided by humans and derives conclusions from it - this is often summarized recently under the keyword "Semantic Web". The data-based approach, in turn, analyzes statistical correlations and works with "machine learning" methods. 

The combination of both approaches aims at closing the "semantic gap". This arises where intuitive knowledge of the world and statistical knowledge meet and must be brought into context in order to emulate the human ability to understand meaning from context.

In addition, this focus is intended to strengthen collaboration between science and industry and, where appropriate, also create an environment for new business models and successful start-ups in the field of artificial intelligence.