News from the Artificial Intelligence Group

The chair of artificial intelligence deals with the wide field of machine learning. In particular the chair concentrates on the development and implementation of learning algorithms that solve challenging problems.

Artificial Intelligence from different perspectives: The 4th Dortmund Science Conference on 06.11.2020

We encounter artificial intelligence at every corner of our everyday lives - when shopping online, streaming video, exercising or looking for a partner, we let artificial intelligence give us recommendations or even leave our decisions to algorithms that know us better than we know ourselves. AI technologies also play an important role in the world of work - from intelligent factories to AI-supported recruitment. On November 6th, the 4th Dortmund Science Conference will deal with artificial intelligence from different perspectives - for the first time in digital format.

Prof. Dr. Bernhard Schölkopf, Founding Director of the Max Planck Institute for Intelligent Systems in Tübingen, an AI pioneer and award-winning researcher in the field of artificial intelligence, will give the opening lecture.In the session "AI Research made in Dortmund" Prof. Dr. Katharina Morik and other speakers from the TU Dortmund University, the Competence Center ML2R, the Fraunhofer IML and Rapidminer GmbH will discuss the following topics

"Faszination Forschung"   Prof. Dr. Katharina Morik (TU Dortmund, ML2R)
    Prof. Dr. Christian Wietfeld (TU Dortmund)
    Dr. Jens Buß (TU Dortmund)
    Sebastian Buschjäger (TU Dortmund)
    Lukas Pfahler (TU Dortmund)
"KI in der Logistik"   Prof. Dr. Dr. h.c. Michael ten Hompel (Fraunhofer IML)
    Moritz Roidl (Fraunhofer IML)
    Anike Murrenhoff (Fraunhofer IML)
"KI Praxis"   Prof. Dr. Katharina Morik (TU Dortmund, ML2R)
    Dr. Helena Kotthaus (TU Dortmund, ML2R)
    Philipp Schlunder (RapidMiner GmbH)

Further program details and the link for free registration can be found on the conference website: www.wissenschaftskonferenz.dortmund.de. A flyer can be downloaded here.

Scientific Steering Board Meeting sets impulses for the ML2R’s future research and strategy

Sensorfloor hall at TU DortrmundScientific excellence and transnational exchange characterized the meeting of the ML2R’s Steering Board, the scientific advisory board of the Competence Center ML2R. The Steering Board integrates the ML2R into a network of outstanding, world-renowned researchers in the fields of Machine Learning and Artificial Intelligence. During the three-day virtual event, which took place from September 21st to 23rd, the members of the Steering Board gained extensive insights into the work of ML2R, engaged in direct exchange with ML2R scientists and provided important impulses for the further work of ML2R in terms of strategy and visibility. In line with the motto “Fresh Off Your Desk – Share Your Thoughts”, the meeting of the ML2R’s team and the Steering Board, offered the opportunity for topical and strategic dialogue and networking.

In a concluding feedback-session, the international experts emphasized the excellence of the Competence Center and highlighted the contribution of ML2R scientists in highly relevant fields of research. They for example pointed to the ML2R’s research efforts in quantum technologies, modular Machine Learning, ML methods for understanding and processing natural language as well as ML technologies under consideration of hardware limitations.In addition, the Steering Board members set important impulses in terms of strategy and visibility for the future direction of the Competence Center.

For more information on the event and the members oft the ML2R’s Steering Board, please click here.

"Datenhelden" - Prof. Dr. Katharina Morik in conversation with QuinScape

In the latest issue of "Datenhelden" Prof. Dr. Katharina Morik talks about topics related to artificial intelligence - how it is already changing our societies today and in the future, current research topics and the bias effect in machine learning. In the online format "Datenhelden" by software developer QuinScape, renowned personalities from the field of data & analytics are interviewed. The interview with Prof. Morik can be accessed here.

Virtual Summer School on Machine Learning excites Global Research Community

Sensorfloor hall at TU Dortrmund

Over 830 registered participants from 64 countries: The Summer School “Resource-aware Machine Learning” was well received by the international research community. The multi-faceted program included lectures, interactive formats and opportunities for networking and getting to know one another. A hackathon on a current task from the field of logistics ran in parallel. As a conclusion and highlight of the Summer School, the finalists were able to remotely control logistics robots in a live broadcast event. For the first time, the Summer School took place as an online event and was jointly organized by the Competence Center Machine Learning Rhine-Ruhr (ML2R) and the Collaborative Research Center 876 “Providing Information by Resource-Constrained Data Analysis” at the chair of Artificial Intelligence at TU Dortmund University.

The Competence Center ML2R and the Collaborative Research Center 876 would like to thank all speakers, cooperation partners and its committed participants for a successful Summer School. For all those who could not attend the Summer School or who would like to experience some of the highlights again, selected lectures are available online.

International collaboration results in Best Paper Award

ECML 2020 Best Paper Award

At this year's ECML-PKDD, the publication "Resource-Constrained On-Device Learning By Dynamic Averaging" received a Best Paper Award at the "Workshop on Parallel, Distributed and Federated Learning". The cooperation between the TU Dortmund University, ML2R, CRC 876, the University of Bonn, Fraunhofer IAIS, and Monash University was initiated by Katharina Morik's research stay in Melbourne.

The paper demonstrated that distributed learning of probabilistic graphical models can be realized completely with integer arithmetic. This results in reduced bandwidth requirements and energy consumption, thus enabling the use of distributed models on resource-constrained hardware. Furthermore, the possible error of the approximation was theoretically analyzed and bounded.

(more information  )

Appointment of Prof. Dr. Katharina Morik to the ISI Foundation’s advisory board

Prof. Dr. Katharina Morik was appointed as a member of the ISI Foundation’s advisory board. The Italian-based ISI Foundation conducts international research in the field of complex systems science. Dr. Francesco Bonchi, scientific director of the ISI Foundation, supports the Competence Center Machine Learning Rhine-Ruhr (ML2R), led by Prof. Morik, as a member of the scientific Steering Board.

The ML2R is one of the six German competence centers for Artificial Intelligence. In its work, the competence center benefits from the network it spans. Two advisory boards as well as numerous supporters and cooperation partners hereby complement the innovative research and business environment at the competence center's locations in Dortmund, Bonn and Sankt Augustin.

Invitation to the International Summer School

Together with the Collaborative Research Center 876 “Providing Information by Resource-Constrained Data Analysis" and the Competence Center Machine Learning Rhine-Ruhr (ML2R), the Artificial Intelligence Group at TU Dortmund University will host an international Summer School. The free online event will take place between August 31 and September 4, 2020.

Sensorfloor hall at TU Dortrmund The Summer School brings together experts from the research fields of Data Analysis (Machine Learning, Data Mining, Statistics) and Embedded Systems (Cyber-Physical Systems). In their lectures, they will address the resource limitations of devices in the context of Machine Learning and data analysis. Participating doctoral and post-doctoral students will also have the opportunity to present their research in the dedicated Student Corner.

The Summer School will be accompanied by a hackathon in the form of a Kaggle Challenge, in which participants can test their knowledge of Machine Learning and Cyber-Physical Systems. In a warehouse scenario, participants will make position predictions for robots, using sensor data. The winners of the challenge will then have the opportunity to control the robots used to transport goods in a live session. Moreover, they will be invited for further research cooperation to Dortmund.

Further information about the Summer School and registration

Student assistants (SHK / WHF) wanted

At the TU Dortmund, Faculty of Computer Science, Chair VIII, there are vacancies for assistants (SHK / WHF) to be immediately taken. The number of hours can be discussed individually. The offer is aimed at students of computer science who have completed their basic studies (semesters 1-4) with good results so far. We offer you the opportunity to work in research and development within national and international projects.

to the job Computer Science



Manifesto for a decentral, privacy-preserving Corona App

An international group of scientists from KDD and ML have written a manifesto for an app that helps COVID-19 containment.

Data-driven predictions for COVID-19 in Germany

Graph of a COVID19 Prognose showing March and April We attempt to model the Corona virus infection numbers in Germany with a data-driven analysis approach.

Are our interventions helping to flatten the curve? Can we reopen university in a few weeks for examinations? And what effect do weekends and delayed reporting have on the accuracy of our data?

You are welcome to explore our interactive charts on COVID-19 predictions for Germany.

(more information  )

Research Assistant (m/f/d) wanted

With one of the four German competence centers for machine learning, ML Rhine-Ruhr, there is a unique opportunity to participate in shaping the future together with a team of top researchers. The position is part of the Competence Center ML2R at the Faculty of Computer Science and is initially limited until 31.12.2022. An extension is possible if the center is continued. 

to the job: Research Assistant_ML2R

Katharina Morik calls for additional AI professorships for competence centers

In the latest issue of the Handelsblatt Journal "Artificial Intelligence", Prof. Dr. Katharina Morik addresses the question: How do we achieve AI excellence in Germany? In a guest article, Morik calls for the for the strengthening of German AI research through additional professorships. According to Morik, this is the only way to continuously strengthen strong and internationally visible research centers.

The full guest article (in German) by Professor Morik can be viewed here.

Katharina Morik emphasizes the need for European cooperation in AI research

Prof. Dr. Katharina Morik has emphasized the need for European cooperation in the research on Artificial Intelligence. In the format "3 Fragen an" (transl.: "3 Questions for") of the German AI platform "Lernende Systeme", she highlighted the strong international standing of the German AI research landscape. According to Morik, long-term cooperation between European countries is now needed. The cooperation with France through competence centers in both countries serves as a positive example.

The full interview with Katharina Morik can be read here. Professor Morik heads the working group "Technological Enablers and Data Science" of the platform "Lernende Systeme" and is speaker of the Competence Center Machine Learning Rhine-Ruhr (ML2R).

Katharina Morik gives keynote speech in Strasbourg

Prof. Dr. Katharina Morik called for long-term investment guarantees for ML-competence centres in the context of a keynote speech in Strasbourg. She spoke at the third meeting of the German-French working group "Disruptive Innovations and Artificial Intelligence" (AG DIKI) in the European Parliament. As a pioneer of Machine Learning, Katharina Morik emphasized the role that her cooperation with Yves Kodratoff from the Université Paris-Sud had played in the early years of the field. "Cooperation with France has built the European community of researchers in Machine Learning since 1986. The resulting ECML PKDD conference now covers all European countries and had 800 participants last year."

At a first meeting of the French and German Centres for AI and Machine Learning, organised by Katharina Morik and Bertrand Braunschweig last year, the thematic priorities of the centres were presented. A further meeting will take place this year to further the networking of German and French research. "What we are still lacking is the consolidation of the competence centres in Germany in order to enable long-term perspectives," said Professor Morik.


(more information  )

Federal funding of the ML2R will be increased by 8 million Euros

The Federal Ministry of Education and Research (BMBF) has granted an additional 8 million Euros in federal funding for the ML2R. The funds will be available for the remainder of the first project phase until the end of 2022. This will enable the competence center to extend its research profile and among other things create up to 25 new positions for researchers who will strengthen future scientific endeavors. “This is an important sign for the long-term consolidation of the ML2R”, says Prof. Dr. Katharina Morik, speaker of the ML2R and coordinator of the German centers for Machine Learning. “The German government is showing its willingness to increase funding for the research on Machine Learning (ML) as a key technology and to strengthen the Rhine-Ruhr area as a hot-spot for ML research.”

As a result of the budget increase, the existing research efforts will be intensified and the research profile of the competence center will be extended to include the fields of Machine Learning on quantum computers and trustworthy Machine Learning algorithms as core areas of research. In addition, the ML2R will install a virtual ML showroom which will provide resources concerning the field of Machine Learning at no charge.

(more information  )

Retrospective of the Global Forum on AI for Humanity

The Program Committee was delighted to welcome you at the Global Forum on AI for Humanity, which took place in Paris last October.

For three days, some 400 attendees debated on AI’s human and scientific challenges: French President Emmanuel Macron delivered a speech on France’s position on AI research; the Minister of Higher Education, Research and Innovation, Frédérique Vidal, as well as the Secretary of State for the Digital Sector, Cédric O, spoke to the audience. Altogether, more than 150 international speakers shared their views at round-table discussion.

Relive the event with the video retrospective and the photos of the forum.
All the plenary sessions have been recorded, and are available on the dedicated playlist.

Katharina Morik is co-organizer of the Global Forum on AI for Humanity

Global Forum on AI for humanity 2019

Prof. Katharina Morik works closely with Prof. Bertrand Braunschweig of INRIA as coordinator of the German competence centres for AI. Together with other renowned experts from Australia, Germany, the Netherlands, England, France, Japan, Canada and the USA, she prepared the Global Forum on AI for Humanity (GFAIH), which took place from 28 to 30 October 2019 in Paris. It served the preparation of a Global Partnership for AI (GPAI), as it was decided at the last G7 summit. The meeting in Paris was addressed by President Emmanuel Macron and served as a formal launch for GPAI and to formulate the future agenda of the GPAI working groups. The GFAIH brought together experts from AI, social sciences, humanities and engineering, as well as innovators, economic actors, policy makers and representatives of civil society in order to:

  • achieve a common understanding of the perspectives and challenges created by AI and the methods and instruments to overcome them.
  • reflect on projects, studies and social experiments that can lead to a common body of knowledge and to shape R&D agendas.
  • thoughts on Global Partnership initiatives to harness the progress of AI for the benefit of humanity.

The GFAIH was organised under the auspices of the French government.

Click here to open the program.

(more information  )

Katharina Morik appointed GI Fellow

Katharina Morik appointed GI-Fellow

On 01 October 2019, the Gesellschaft für Informatik e.V. (German Informatics Society) awarded the GI-Fellowship to computer scientists who have contributed outstanding results to computer science and the GI. With Prof. Oliver Günther, PhD, Prof. Dr. Guido Herrtwich, Prof. Dr. Katharina Morik and Prof. Dr. Günter Müller, the Gesellschaft für Informatik honors four outstanding personalities this year. The award took place at the GI Annual Conference DATA PROCESSING 2019 in Kassel.

Image: Uni-Kassel/Nicolas Wefers

(more information  )

ETMLP 2020: International Workshop on Explainability for Trustworthy ML Pipelines

Machine learning (ML) is a driving force for many successful applications in Artificial Intelligence. ML pipelines ensure guarantees on the entirety of the system (i.e., horizontal certification) as well as on each single component (i.e., vertical certification). The horizontal certification covers the full pipeline from data acquisition to data visualization. Moreover, it spans over user-centered, technical, financial, and regulatory aspects of the system. The vertical certification exploits the theory of ML to guarantee error bounds, sampling complexity, energy consumption, execution time, time-to-think, and memory and communication demands. The understandability of an ML pipeline in its entirety requires the collaboration of researchers from the database and the ML communities.

ETMLP workshop will examine the aforementioned opportunities and their associated challenges. The main objective of this workshop is to create a forum where researchers from machine learning, data management, and practitioners engage with ideas around explainability and certified trustworthiness of ML pipelines, at the pipeline level, as well as the component level.

The ultimate goal of the workshop is to discuss recommendations for further work in science and industry and society regarding explainable ML pipelines.

30 March 2020, Copenhagen, Denmark
Submission deadline: December 20, 2019

Prof. Dr. Katharina Morik is part of the committee.

(more information  )

Machine learning in Germany and France: First joint meeting of all German and French competence centres in Würzburg

Meeting between german and french ML competence centres in Wrzburg

On the fringes of this year's ECML-PKDD, the leading European conference for machine learning and data mining, representatives of all German and French ML competence centers met in Würzburg on Monday, September 16, 2019. The common objective was the concretisation of a virtual German-French centre for the cooperation of the competence centres of both countries and the concretisation of a Memorandum of Understanding (MoU) as an agreement of this cooperation. The meeting was organised by Katharina Morik (TU Dortmund), the coordinator of the six German competence centres, and Bertrand Braunschweig (INRIA), who coordinates the four French competence centres.

(more information  )

Event: Day of Artificial Intelligence

On 29.10.2019, the Artificial Intelligence theme day will take place within the North Rhine-Westphalian Academy of Science and the Arts. The focus is on machine learning as the key to artificial intelligence.

(more information  )

Nico Piatkowski received Reviewer Award

Nico Piatkowski received the Reviewer Award of the ECML PKDD journal track. The award is given to 15 reviewers, who stood out in terms of reviewing load, quality and timely completion.

(more information  )

Participation in the Digital Strategy of North Rhine-Westphalia

Participation in the digital strategy of North Rhine-Westphalia


The second event as part of the dialogue and participation measure for the Digital Strategy of North Rhine-Westphalia attracted more than 100 visitors to the Düsseldorf Media Harbour. The participants were able to exchange information on the subject of "DATA - the key to AI", with a particular focus on access and usability of data.

(more information  )

Veranstaltung: DATEN - der Schlüssel zur KI

Northrhine-Westfalia wants to become a leader in AI. For training, many high quality data sets are required so that artificial intelligence comes to being. The questions of how data are made available und acessible will be discusssed the 3rd September 2019 in Düsseldorf. Among others, there wil be the talk:


Daten und was maschinelles Lernen daraus macht
                 Prof. Dr. Katharina Morik, Technische Universität Dortmund,
                 Lehrstuhl für Künstliche Intelligenz


Further information here.

Federal Research Minister Karliczek gained insights into machine learning

Anja Karliczek at ML2R

Anja Karliczek, Federal Minister of Education and Research, visited the Competence Center Machine Learning Rhine-Ruhr (ML2R) together with journalists on 9 July. The Minister took the opportunity to experience practical applications of artificial intelligence and machine learning live and to try them out for herself: She met robots that make AI and ML comprehensible in a playful way, discovered AI systems that analyse spoken language, improve satellite images and make autonomous driving safer, and a swarm of drones buzzed over her. This gave the Minister impressions of outstanding projects funded by the Federal Ministry of Education and Research (BMBF) as part of the ML2R.

(more information  )

Amal Saadallah among the finalists of the European data science and AI awards

DatSci 2019 finalists

Amal Saadallah has been selected as finalist at The European DatSci & AI Awards - Celebrating & Connecting Data Science Talent, category "Best Data Science Student of the Year". Amal works for  the Research Project B3 "Data Mining in Sensor Data of Automated Processes" within the Collaborative Research Center 876. 

The Data Science Award 2019  competition is open to individuals and teams working in the Data Science Ecosystem across Europe and is a unique opportunity to showcase research and application of Data Science/AI.

Sibylle Hess defends her dissertation at the LS8

Sibylle Hess next to Katharina MorikSibylle Hess has successfully defended her dissertation A Mathematical Theory of Making Hard Decisions: Model Selection and Robustness of Matrix Factorization with Binary Constraints at the Chair of Artificial Intelligence. She developed new methodologies for two branches of clustering: the one concerns the derivation of nonconvex clusters, known as spectral clustering; the other addresses the identification of biclusters, a set of samples together with similarity defining features, via Boolean matrix factorization. 

The members of the doctoral committee were Prof. Dr. Katharina Morik (supervisor and first examiner), Prof. Dr. Arno Siebes (second examiner, University of Utrecht) and Prof. Dr. Erich Schubert (representative of the faculty). Sibylle Hess was a research assistant at LS8, a member of the Collaborative Research Center 876 (Project C1) and now works as a postdoctoral fellow at the TU Eindhoven.

KI made in Germany

Annual conference of the Plattform Learning Systems in Berlin

The annual conference of the Platform Learning Systems on 3 July 2019 in Berlin was opened by Federal Minister Karliczek. Of course, Katharina Morik, head of AG 1 "Technological pioneer" and coordinator of the competence centres for machine learning, was also present.

Over 100 experts meet to exchange ideas on the subject of machine learning

Meeting of experts from competence centres for machine learning at TU Dortmund

On Wednesday, 5 June, representatives of the four German competence centres for machine learning as well as experts from industry, business and science met for the first time at the TU Dortmund for a joint conference. This was organized by the Competence Center Machine Learning Rhine-Ruhr (ML2R).

Photo: Oliver Schaper

(more information  )

1000 Participants, 54 Speakers and a Day Full of Innovation

Katharina Morik gives the keynote AI and the sciences

The 5th Digital Future Science Match brought together AI experts from science, industry and politics to answer the question: What’s Next in Artificial Intelligence? Katharina Morik gave the keynote “AI and the sciences”.

(more information  )

Dr. Nico Piatkowski receives dissertation prize of TU Dortmund

Dr. Nico Piatkowski received dissertation prize at TU Dortmund

Dr. Nico Piatkowski completed his doctorate on "Exponential Families on Resource-Constrained Systems" with distinction (summa cum laude). In addition, he received one of the dissertation prizes at the TU Dortmund University's academic anniversary celebration on January 23, 2019.

In his doctoral thesis Nico Piatkowski dealt with machine learning under limited resources. He investigated how mathematical methods of machine learning can be simplified so that they also work on devices with limited computing power, storage capacity or energy reserves. These include mobile devices such as smartphones or sensors. The scientist studied computer science and economics at the TU Dortmund University and now continues to work as a postdoc at ML2R.

Student assistants (SHK / WHF) wanted

At the TU Dortmund, Faculty of Computer Science, Chair VIII, there are several vacancies for assistants (SHK / WHF) to be filled with immediately. The number of hours can be discussed individually. The offer is aimed at students of computer science who have completed their studies with very good results so far. We offer you the opportunity to work in research and development within the framework of national and international projects.

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Opening of the Competence Center Machine Learning Rhine-Ruhr (ML2R)

ML2R Logo

The Competence Center Machine Learning Rhine-Ruhr (ML2R) will open in Dortmund on 23 January 2019. ML2R is one of four nationwide centres for artificial intelligence and machine learning: it establishes cutting-edge research, promotes the next generation of scientists and strengthens technology transfer in companies.

The ML2R connects pioneer institutions of ML research in Germany: the Faculty of Computer Science at the Technical University of Dortmund, the Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS in Sankt Augustin, the University of Bonn and the Fraunhofer Institute for Material Flow and Logistics IML in Dortmund. The close integration of basic and applied research forms the ideal basis for innovations.

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