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.

Volkswagen Foundation Report on reflecive AI has been published

The report of the project on reflective AI, funded by the Volkswagen Stiftung, is published. It is about the user’s awareness of the implications of AI systems.

Ensuring a safe and responsible use of AI cannot be solved alone through technological innovation and regulation, in spite of their importance. Many of the problems encountered in the use of AI systems stem from the lack of personal and societal experience with AI. They mirror not only the biases and inequalities reflected in the data and AI algorithms but also those from the organizational and societal contexts in which AI is used and designed. 

View report.

Stefanie Jegelka from MIT gives a talk on "Learning in Graph Neural Networks"

Event date: July 15 2021 16:15

Learning in Graph Neural Networks

Abstract - Graph Neural Networks (GNNs) have become a popular tool for learning representations of graph-structured inputs, with applications in computational chemistry, recommendation, pharmacy, reasoning, and many other areas. In this talk, I will show some recent results on learning with message-passing GNNs. In particular, GNNs possess important invariances and inductive biases that affect learning and generalization. We relate these properties and the choice of the “aggregation function” to predictions within and outside the training distribution.

This talk is based on joint work with Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Vikas Garg and Tommi Jaakkola.


Short bio - Stefanie Jegelka is an Associate Professor in the Department of EECS at MIT. She is a member of the Computer Science and AI Lab (CSAIL), the Center for Statistics, and an affiliate of IDSS and the ORC. Before joining MIT, she was a postdoctoral researcher at UC Berkeley, and obtained her PhD from ETH Zurich and the Max Planck Institute for Intelligent Systems. Stefanie has received a Sloan Research Fellowship, an NSF CAREER Award, a DARPA Young Faculty Award, a Google research award, a Two Sigma faculty research award, the German Pattern Recognition Award and a Best Paper Award at the International Conference for Machine Learning (ICML). Her research interests span the theory and practice of algorithmic machine learning.



Digitaltag 2021: Competence Center ML2R offers Hands-On Workshop on Machine Learning

As part of the Digitaltag (Digital Day) 2021, the Competence Center Machine Learning Rhine-Ruhr (ML2R) is hosting a joint virtual hands-on workshop with the software manufacturer RapidMiner. The German-language event under the motto "Machine Learning: An Introduction to the Key Technology of Artificial Intelligence" on 18 June offers participants of all backgrounds exciting insights into the basics of Machine Learning (ML) as well as illustrative application examples. Using the graphical software RapidMiner, participants will also learn about a typical ML workflow. Based on a concrete application task, the steps of data preparation, model building, training, prediction, and validation will be explained and exemplarily executed in the software RapidMiner Studio under the guidance of an AI trainer.

Registration for the event is free of charge. To register, please write an email to ann-kathrin.oster@tu-dortmund.de. You will then receive the access data for the event as well as instructions on the free of cost installation of the "RapidMiner Studio" software, which is essential for the practical part of the workshop.

Research and Science Officer (m/f/d) wanted - Ref.-No. 083/21e

This position should be filled in the Faculty of Computer Science in Collaborative Research Center 876 (SFB 876) as soon as possible until December 31, 2022. According to the public tariff regulations, the salary is based on the tariff group E13 TV-L.

For details: https://karriere.tu-dortmund.de/job/view/810/research-and-science-officer-m-f-d-ref-no-083-21e?page_lang=en

Student assistants (SHK / WHF) wanted - the job has been taken

The Chair VIII of the Faculty of Computer Science has an immediate vacancy for an student assistant (SHK / WHF). 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. Specifically, the job is about the implementation and further development of existing procedures as well as their evaluation on small devices.

You can find more information about the position and your application here

„She transforms IT“ strengthens womens‘ role in IT

The initiative "She transforms IT" is dedicated to empowering women and girls in IT and aims to increase their participation in digitization. To this end, the initiative works, among other things, to promote digital competence among girls, to make women in IT more visible and offer them research and teaching offers which are diverse and offer extensive networking opportunities.

Prof. Dr. Katharina Morik, Professor of Artificial Intelligence and spokesperson for the Competence Center ML2R and Collaborative Research Center 876, was among the first 50 signatories of the initiative, which was presented at the Digital Summit 2020.

Competence Center ML2R starts Blog on Machine Learning and Artificial Intelligence

The Competence Center Machine Learning Rhine-Ruhr (ML2R) has launched its new blog: https://machinelearning-blog.de. In the categories Application, Research and Foundations, researchers of the Competence Center and renowned guest authors provide exciting insights into scientific results, interdisciplinary projects and industry-related findings surrounding Machine Learning (ML) and Artificial Intelligence (AI). The Competence Center ML2R brings forward-looking technologies and research results to companies and society.

Seven articles already await readers: a four-part series on ML-Basics as well as one article each within the sections Application, Research and Foundations. The authors illustrate why AI must be explainable, how obscured satellite images can be recovered using Machine Learning and show methods for the automated assignment of keywords for short texts.

LS8 secretariat closed until 01.01.2021

The LS8 office will not be staffed between 21.12.2020 and 01.01.2021. During this time the TU Dortmund is completely closed.

With good wishes for a peaceful holiday season and a confident, healthy start into the year 2021!

Student assistants (SHK / WHF) wanted - the job has been taken

to the job Computer ScienceAt 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 studies with very 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

Student assistants (SHK / WHF) wanted - the job has been taken

At the 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 the TU Dortmund and FH Dortmund who have experience in researching facts and also have web programming skills. The call for applications is explicitly not aimed exclusively at students from the Department of Computer Science, but is also open to students with other study focuses who have the relevant qualifications.

More information about the position and your application can be found here

Digital Summit 2020: Living digitally more sustainably

How can AI be more sustainable? Prof. Dr. Katharina Morik discussed this question during a panel at the Digital Summit 2020. This year’s Digital Summit, which has been organized by the German Federal Ministry for Economic Affairs and Energy (BMWI) since 2016, addresses the central theme "Living digitally more sustainably".

In a panel discussion, Katharina Morik highlighted the resource-saving potential of Machine Learning. At the same time, she emphasized the high energy consumption of learning processes, for example when storing and training Deep Neural Networks. Prof. Morik heads the Collaborative Research Center 876 and the Competence Center ML2R, whose research is dedicated among other topics to Machine Learning under resource constraints.

Further information about the event: Digital Summit 2020

ML2R publishes Activity Report

The competence center ML2R has published a report on the implemented activities since its founding in 2018. The report, which gives readers an overview of research and transfer projects, opportunities for collaboration and cooperation partners as well as conducted events, is available online. Since its founding in 2018, scientists of the Competence Center ML2R have been conducting research on cutting-edge technologies in the fields of Artificial Intelligence (AI) and Machine Learning (ML), promoting the transfer of research to industry and generating national as well as international visibility for AI research in Germany.

Prof. Dr. Katharina Morik, Professor of Artificial Intelligence, leads the competence center together with Prof. Dr. Stefan Wrobel (Fraunhofer IAIS) in her role as spokeswoman for the ML2R. In its newly published activity report, the ML2R presents highlights from two years of work. Find out more about exciting research and flagship projects as well as cooperation offers, gain insights into the multi-faceted network of the competence center and relive prominent ML2R events.

The report is available online in German and English.

ML2R presents concepts for trustworthy and sustainable Machine Learning

The latest event in the series “Grand Challenges: Answers from North Rhine-Westphalia” addressed the topic “AI made in NRW: Sustainability and Trust for Artificial Intelligence Technologies” and was co-organized by the Competence Center ML2R. The virtual event took place on October 29, 2020 and gave researchers from North Rhine-Westphalia (NRW) the opportunity to engage in a dialogue with EU representatives. 

Isabel Pfeiffer-Poensgen, Minister for Culture and Science NRW, opened the event, followed by a keynote speech by Eric Badiqué, consultant for Artificial Intelligence of the European Commission (Directorate General DG CONNECT). The speakers of ML2R helped to shape the program and gave impulses within the framework of Germany’s Presidency of the EU Council: Prof. Dr. Stefan Wrobel conducted the moderation and Prof. Dr. Katharina Morik gave a lecture on “Trustworthy machine learning”. In her lecture, Prof. Dr. Katharina Morik highlighted the research foci of the competence center: Research on trustworthy Machine Learning (ML) that meets sustainability standards and is designed in a way that is understandable for users.

More about the event “Grand Challenges: AI made in NRW”

The brochure accompanying the event is available online and provides an overview of the AI research landscape in NRW.

You missed the event? A recording of the livestream is available here.

European Big Data Value Forum (EBDVF) 2020

This year's EBDVF (3-5 November) brought together policy makers, experts from industry and researchers from all over Europe. Along the central theme of the event, they discussed the establishment of a European data and AI ecosystem.

In the Focus Track "Technology, Platforms and Trust", Prof. Dr. Katharina Morik, Head of the Chair of Artificial Intelligence, presented solutions and projects that aim to increase the confidence of users in AI technologies. The Competence Center Machine Learning Rhine-Ruhr (ML2R), headed by Katharina Morik, also addresses this research focus.

The European Big Data Value Forum (EBDVF) is the flagship event of the European Big Data and Data-Driven AI Research and Innovation community organized by the Big Data Value Association (BDVA) and the European Commission (DG CNECT).

Photo credit: Prof. Dr. Dr. h.c. mult. Wolfgang Wahlster ML/DFKI

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

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  )
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