Network of National Centres of Excellence for AI Research
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Leading Connected Innovative

Dear readers,
Deutschlandkarte with AI Centres

Covid-19 has greatly impacted the world and has changed the way in which people live and work. Meanwhile, digitization has experienced an innovation boost. Citizens are working from the comfort of their own homes, consumers are increasingly buying products online and companies are turning to digital solutions in order to maintain business processes and production chains. Artificial Intelligence (AI) technologies are hereby opening up new perspectives. They are already facilitating the automation of industrial processes, improving medical diagnostics and optimizing logistics and mobility systems.

Since 2018, Germany has been pooling its expertise on innovative AI technologies in the Network of National Centres of Excellence for AI research. Six leading institutions of German AI research hereby collaborate with the aim of strengthening Germany’s position as a top-tier science location and increasing the national and international visibility of German AI research. The close cooperation of BIFOLD (Berlin Institute for the Foundations of Learning and Data), the DFKI (German Research Center for Artificial Intelligence GmbH), the MCML (Munich Center for Machine Learning), the ML2R (Competence Center Machine Learning Rhine-Ruhr), the Tue.AI Center (Tübingen AI Center) and the ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial Intelligence) thus forms a fundamental pillar of the German AI strategy.
The central office of coordination for the network operates under the leadership of Prof. Dr. Katharina Morik at the ML2R location of TU Dortmund University.

In this first newsletter issue, the Network of German AI competence centres is introduced: The research institutions provide exciting insights into their work as well as research and inform about current events. You are an AI expert and would like to advance Germany’s position as a first-class innovator for AI science and technologies? Get in contact with us and network with excellent researchers from all over Germany.

The Network of National Centres of Excellence for AI research wishes you an enjoyable read and hopes to greet you again as a reader in the future.

Foreword
Network
News
Publications
NETWORK
BIFOLD Logo
Within the vibrant Berlin AI ecosystem, BIFOLD focuses on creating the scientific foundations of Big Data and Machine Learning as well as on their intersection to empower innovations in the sciences, humanities, and companies, particularly startups. At TU Berlin, BIFOLD combines innovative research on systems and technologies for the efficient processing of large, fast, and heterogeneous data streams and data management with research on explainable algorithms and models for machine learning.
to BIFOLD
DFKI Logo
The German Research Center for Artificial Intelligence GmbH (DFKI) was founded in 1988 as a non-profit public-private partnership (PPP). It maintains locations in Kaiserslautern, Saarbrücken, Bremen, a project office in Berlin, a laboratory in Lower Saxony and branch offices in St. Wendel and Trier. DFKI is Germany's leading business-oriented research institution in the field of innovative software technologies based on artificial intelligence methods. In the international scientific community, DFKI is one of the most important "Centers of Excellence".
to DKFI
MCML Logo
The Munich Center for Machine Learning (MCML) brings together leading experts from ML, AI, data science, computer science and statistics of LMU and TUM. Our research ranges from models and algorithms for AI, unsupervised and representation learning for complex data, automatic and interpretable ML, to challenges of human-centered AI, such as computer vision, NLP, interactive data mining and visual analytics. MCML is tightly connected to other AI centers in Bavaria and beyond.
to MCML
ML2R Logo
ML2R stands for excellence in research, impactful transfer to business applications and benefitting society. The competence center conducts research on modular Machine Learning, knowledge integration, resource efficiency, quantum ML as well as human-oriented approaches and trustworthiness. Pioneering research institutions collaborate to foster innovation and shape the digital future: the TU Dortmund University, the Fraunhofer IAIS, the Fraunhofer IML and the University of Bonn.
to ML2R
TUE.AI Logo
The Tübingen AI Center aims to shape the next generation of machine intelligence developing more robust, efficient and accountable learning systems. We are setting up a novel public research institution to attract the best scientists in AI, train around 250 doctoral students, and generate positive impact into society. The competence center is connected through the national network of BMBF competence centers, and at the European level, through the ELLIS initiative.
to TUE.AI
ScaDS.AI (Center for Scalable Analytics and Artificial Intelligence) Dresden/Leipzig erweitert das 2014 gegründete nationale Kompetenzzentrum für Big Data, ScaDS. Mit unserer Forschung streben wir an, die Lücke zwischen der effizienten Nutzung von Massendaten und fortgeschrittener KI zu schließen. Wir entwickeln neue Methoden des maschinellen Lernens, des Wissensmanagements, und Methoden zur Wahrung der Privatsphäre. Darüber hinaus arbeiten wir an serviceorientierten Lösungen und kooperieren mit einer Vielzahl von Anwendenden aus Wissenschaft und Industrie.
to ScaDS.AI
NEWS
BIFOLD Logo
BIFOLD Project
Building with molecules: A scientific Breakthrough

A cooperation project between Forschungszentrum Jülich and BIFOLD Co-Director Prof. Dr. Klaus-Robert Müller enabled a robot trained with Reinforced Learning to grip and move molecules out of a structure. This could be a cornerstone for building with molecules and was announced a Scientific Breakthrough by the Falling Walls Foundation at the Berlin Science Week.
more
BIFOLD researchers receive SIGMOD 2020 Best Paper Award
Researchers at TU Berlin, DFKI and HPI received the Best Paper Award of the 2020 SIGMOD/PODS conference. SIGMOD is one of the leading international conferences on research, development and use of database systems. In their paper the authors explore the use of GPUs to accelerate database query processing with great success.
more
Clemens Lutz Portrait
DFKI Logo
Daniel Sonntag Portrait
DFKI Researcher Appointed to Endowed Professorship for Artificial Intelligence

The University of Oldenburg has appointed Dr. Daniel Sonntag, research group leader at the DFKI Saarbrücken site, to the endowed professorship "Applied Artificial Intelligence" at the Department of Computer Science at the University of Oldenburg. As part of his professorship, Sonntag will establish a new research area on Interactive Machine Learning at the DFKI Laboratory Niedersachsen in Oldenburg.
more
Smart Data for the Diagnosis of Psychiatric Diseases – The MePheSTO Research Project
People with psychiatric conditions are often disabled for life, have a lower life expectancy, and a higher suicide rate. The interdisciplinary research project MePheSTO of DFKI and the French computer science institute INRIA is developing a digital recognition framework and clear differentiation of psychiatric disorders.
more
Mephisto Logo
MCML Logo
IBS Logo
Moritz Herrmann receives the Bernd-Streitberg Award of the German Biometric Society

for his master thesis 'Large-scale benchmark study of prediction methods using multi-omics data' supervised by our PI Prof. Dr. Anne-Laure Boulesteix. In the context of MCML an article has been published in the renowned Journal 'Briefings in Bioinformatics' as an extension of his master thesis.
more
18 papers accepted at CVPR
The PIs of TU Munich published 18 papers at CVF/IEEE Conference on Computer Vision and Pattern Recognition (CVPR) this year, the conference with the currently highest impact among all scientific conferences worldwide.
more
CVPR Logo
ML2R Logo
ML2R Hackathon
Virtual Summer School on Machine Learning excites Global Research Community

Over 830 registered participants from 64 countries: The Summer School on Machine Learning with Limited Resources provided an international audience with lectures, interactive formats and opportunities for getting to know each other and networking. A hackathon on a logistics task ran in parallel. The event was organized by ML2R and the Collaborative Research Center 876 (TU Dortmund University).
more
Scientific Steering Board Meeting sets impulses for the ML2R’s future research and strategy
Scientific excellence and transnational exchange characterized the meeting of the ML2R-Steering Board, the scientific advisory board of the Competence Center ML2R. The Steering Board integrates the ML2R into a network of outstanding, worldwide renowned AI researchers. During the virtual event, the advisory board members set important impulses for the further work of the ML2R.
more
ML2R Steering Board
TUE.AI Logo
National AI Student Competition
Pupils create artificial intelligence for creative and meaningful applications

Who has ever lost a cat? For all concerned pet owners there is now help from an intelligent cat search software. This and many other innovative projects were submitted by pupils at the national competition for AI. In an online award ceremony with celebrities from television and research, the winners were chosen in November.
more
Charely Wu forms a new junior research group
In a partner project of the Excellence Cluster for Machine Learning and the Tübingen AI Center, a new junior research group was established. Charley Wu from Harvard could be won over for the leadership. He researches how people learn in the interaction with others and from examples.
more
Portrait Charley Wu
ScaDS.AI Logo
Screenshot presentation Kristian Kersting
Virtual ScaDS.AI Summer School on AI and Big Data attracts international crowd

ScaDS.AI Dresden/Leipzig hosted its sixth and for the first time digital Summer School from July 7th to 8th, 2020 on current developments and intersections in the field of AI and Big Data. The program included keynotes from renowned researchers, tutorials, industry talks and a scientific speed dating session for the international participants.
more
Ray Reiter Best Paper Award for researchers of ScaDS.AI Dresden/Leipzig
Congratulations to the ScaDS.AI researchers Ringo Baumann, Gerhard Brewka and Markus Ulbricht who recently won the Ray Reiter Best Paper Award at the 17th International Conference on Principles of Knowledge Representation and Reasoning. In their contribution “Comparing Weak Admissibility Semantics to their Dung-style Counterparts – Reduct, Modularization, and Strong Equivalence in Abstract Argumentation” Baumann et al. investigate innovative approaches to the field of abstract-argumentation frameworks. It can be accessed on researchgate.
more
Ray Reiter Best Paper Award


PUBLICATIONS
BIFOLD Logo
to the publications
to the publications
DFKI Logo
MCML Logo
to the publications
to the publications
ML2R Logo
TUE.AI Logo
to the publications
to the publications
ScaDS.AI Logo
Do you have any questions or suggestions regarding the newsletter?
Please feel free to contact us!
ML2R – Office of Coordination
Otto-Hahn-Str. 12
44227 Dortmund, Germany
Tel.: (+49)231 755-8126
info@ki-zentren.net
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