Understanding the interplay of AI algorithms, AI systems, and synergies between artificial and natural intelligence provides the foundation for AI transformation.
for learning, reasoning, seeing, acting, etc.
of interacting algorithms & new hardware.
of artificial and natural intelligence.
of sciences, society, and industry via AI.
Most of AI in use today falls under the categories of the first two
waves of AI research. First wave AIs follow clear rules, written by people, aiming to cover
every eventuality. Second wave AIs are the kind that use statistical learning to arrive at
an answer for a certain type of problem—think of image recognition systems. We
envisions a future in which machines are more than just tools that execute human-programmed
rules or generalize from human-curated data sets. Rather, the machines we envision will function more as colleagues than as tools.
AI systems of this third wave of AI can acquire human-like communication and reasoning capabilities, with the ability to recognize new situations and to adapt to them. For example, a third wave AI might note that a speed limit of 120 km/h does not make sense when entering a small village.
To realize the third wave of AI, we
push Systems AI — the systemic view on AI that captures, understands and utilizes the interaction of
individual AI algorithms as building blocks for a complete, complex AI system in a
mathematical and computationally sound way. This requires to rethink computer science through AI, from hardware, over database systems, to programming and software engineering.
This is combined with our active work on human learning and reasoning. These two programs are inseparable: bringing machine-learning algorithms closer to the capacities of human learning should lead to more powerful AI systems as well as more powerful theoretical paradigms for understanding human cognition.
Deep Learning High
(Probabilistic) Deep Learning
Statistical Relational AI
Natural Language Processing
Models of Higher Cognition
Psychology of Information Processing
Publications from our team.
A growing number of citations
in other publications.
Program Chair at ACL, CVPR,
UAI, CoRL, ECML PKDD
EurAI, IEEE, ELLIS,
22 founding faculty members and 20 new AI professorships.
Artificial intelligence enables computers to learn new skills that will allow us to find better solutions to the challenges we face, be it in the field of medicine, tackling environmental issues or overcoming social problems. It will open up huge scientific and economic potential and thus comes with great responsibility. In order to exploit the opportunities for science, business and people in Hesse, we are relying on the particular strengths of the universities in Hesse: The Technical University of Darmstadt is strong in basic research and is closely followed by other universities that are conducting specialist research into AI, while we can also call on outstanding practical research at the University of Applied Sciences. The concept was jointly developed by 13 universities and more than 40 partners from the fields of research and business already want to cooperate with the centre today. Thanks to its unique characteristics, the centre will – as confirmed by the independent evaluation commission – become highly visible internationally, acting as a beacon in this field that will reach far beyond the boundaries of our state.
There is great potential in the business structures in Hesse for the application of artificial intelligence. More companies already use AI in Hesse today than in other federal states. Five percent of the companies in Hesse were already using AI in 2018. We want to build on this and expand the use of AI. A key focus of the AI Centre will be on transferring knowledge between science and business, i.e. between research and application. As a result, we want to enable more business start-ups. Artificial intelligence sounds abstract and complicated yet we are encountering it more and more in everyday life, whether it is facial recognition on smartphones or parking assistants in cars. In turn, companies will increasingly use AI as a motor for generating added value digitally. And this is what we want to strengthen and promote in Hesse.
We want to decisively shape the development of artificial intelligence here in Hesse and at the same time place a particular focus on ethical issues. The use of AI should be for the benefit of people and based on clear, ethical principles. The development and application of AI in the future must be based on a free, democratic, responsible, transparent and non-discriminatory approach. Therefore, the possible applications should also always be carefully considered when carrying out research into AI. Interdisciplinarity is a core element and AI applications can thus only be successfully developed by combining the methods and insights of 3 or more different disciplines. The centre will therefore cooperate closely with the Centre for Responsible Digitalisation, which will make the Centre for Responsible Digitalisation a really key component of the success of AI in Hesse. It works at the interface between business, science and society in order to unlock the potential of AI for Hesse.
The universities in Hesse that have worked on the concept for the centre under the leadership of TU Darmstadt have created something really unique here: We are bringing together all of our outstanding research into artificial intelligence in all its facets from the basics through to application research under one roof. As a result, we are taking on a pioneering role both nationally and internationally.
The fact that the new centre will integrate and bring together the full scope, originality and quality of the expertise in AI from all of the participating universities will give it greater standing and prestige. In future, we will be able to present our combined strengths in international competition and thus make Hesse a laboratory of the future for AI research.
The University of Applied Sciences views participation in the new centre as an opportunity to contribute its expertise in IT and applications with the aim of developing beneficial applications for artificial intelligence. We expect this to be an advantage for the cross-university research collaboration, especially for transfer projects, from which companies throughout Hesse will be able to benefit in particular.