The Hessian Center for
Artificial Intelligence

Driving research excellence, education, practice and leadership in AI to foster economic growth and improve the human condition.

Mission

Understanding the interplay of AI algorithms, AI systems, and synergies between artificial and natural intelligence provides the foundation for AI transformation.

Algorithms

for learning, reasoning, seeing, acting, etc.

AI Systems

of interacting algorithms & new hardware.

Synergy

of artificial and natural intelligence.

Transformation

of sciences, society, and industry via AI.

Research Vision

The Third Wave of 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.

Rethinking Computer
Science through AI

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.

Strong Ecosystem

Top Science

AI Startups

Industry Labs

Top Infrastructure

3

Hessian
Ministries

13

Hessian
Universities

22

Founding
Members

20

New AI
Professorships

38M

Euro Investment

10+

Deep Learning High
Performance Machines

Excellent and broad ai Expertise

Machine Learning
(Probabilistic) Deep Learning
Statistical Relational AI
Computer Vision
Natural Language Processing
Robotics
Models of Higher Cognition
Psychology of Information Processing
Database Systems
Software Engineering
Hardware
Bioinformatics
Semantic Web
Sustainability
Medicine
Finance

620+ Publications

Artificial Intelligence
Publications from our team.

170.000+ Citations

A growing number of citations
in other publications.

AI Conferences

Program Chair at ACL, CVPR,
UAI, CoRL, ECML PKDD
among others.

Fellows

EurAI, IEEE, ELLIS,
among others.

Faculty Members

22 founding faculty members and 20 new AI professorships.

Mira Mezini

Founding Research Co-Director

Kristian Kersting

Founding Research Co-Director

Jan Peters

Founding Faculty

Iryna Gurevych

Founding Faculty

Stefan Roth

Founding Faculty

Carsten Binnig

Founding Faculty

Constantin Rothkopf

Founding Faculty

Oskar von Stryk

Founding Faculty

Andreas Koch

Founding Faculty

Peter Buxmann

Founding Faculty

Visvanathan Ramesh

Founding Faculty

Oliver Hinz

Founding Faculty

Andreas Hackethal

Founding Faculty

Bernd Freisleben

Founding Faculty

Thomas Nauss

Founding Faculty

Alexander Goesmann

Founding Faculty

Gerd Stumme

Founding Faculty

Michael Guckert

Founding Faculty

Alexander Gepperth

Founding Faculty

Ulrich Schwanecke

Founding Faculty

Martin Kappes

Founding Faculty

Bernhard Humm

Founding Faculty