Artificial intelligence

The main object and driver of science and one of the most important technologies of the future.

74
ongoing projects
155.8 m
€ invested funding budget

Artificial intelligence (AI) is both the object and the driver of science. As one of the most important and promising technologies of the future, it is already influencing our everyday (working) life.

What exactly do we mean by artificial intelligence?

Artificial intelligence is a branch of computer science and deals with the automation of intelligent learning and decision-making behaviour. It describes the challenge of developing a digital system that can solve complex problems relatively independently and can optimise itself. AI thus offers great potential for science, business and society.

Our areas of activity

Basics in Artificial Intelligence

Machine Learning, Deep Learning

Enabling and Supporting Technologies

Next Generation Computing, Edge and Cloud Computing, Internet of Things (IoT) and Sensor Technology

Application

Environment, health, manufacturing and law

Didactics of Informatics

Structures and education

We are pursuing several goals in our areas of activity. We want to

  • overcome the shortage of skilled staff 
  • increase the attractiveness of science
  • strengthen interdisciplinary AI research approaches and create profile-boosting bridges between research institutions, and
  • support the transformation of AI research into applications.
     

Why is AI a high-priority topic for us? 

AI systems can already be found in (almost) all areas of life. AI methods such as machine learning or deep learning enable search engines to find suitable information, voice control systems to interpret instructions, or image processing software to automatically adapt media content. 
Despite this invasion into our everyday lives, we are only at the beginning when it comes to understanding the potentials and risks of this technology.  In particular, there are still many unanswered research questions with regard to explainability, to training AI systems as effectively and safely as possible, or to increasing resource consumption efficiency. 

At the same time, artificial intelligence is a driver for other scientific disciplines. AI methods allow us to address multidimensional and complex challenges, for example with regard to environmental problems, in the field of medical diagnostics or to increase efficiency in (industrial) production. 

Our goals

In the coming years, we would like our funding to facilitate outstanding research at universities and universities of applied sciences in four areas of activity.
 

Contacts