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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.






Federal Research Minister Karliczek gained insights into machine learning

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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.

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

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 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

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

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

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1000 Participants, 54 Speakers and a Day Full of Innovation

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”.

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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.

to the job

 

 

Professor (W3) in "Interactive Data Science"

The Department of Computer Science at TU Dortmund University is seeking to fill the position of a Professor (W3) in "Interactive Data Science" commencing as soon as possible. The successful candidate will represent the field of "Interactive Data Science" in research and education.

With 6,200 employees in research, teaching, and administration and its unique profile, TU Dortmund University shapes prospects for the future. The interaction between engineering and natural science as well as social and cultural studies drives both technological innovations and progress in knowledge and methodology. It is not only the roughly 34,500 students who benefit from this. The Department of Computer Science at TU Dortmund University is one of the largest in Germany, with particular strengths in research. Among similar institutions it is distinguished by a combination of fundamental research on formal methods with the development of practical applications. Research topics are Data Science, Algorithmics, Cyber-Physical Systems as well as Software and Service Engineering.

Secretary's office

The LS8 secretary's office will not be staffed between 19.12.2018 and 04.01.2019.

Digicon 2018

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More than 400 top decision-makers from over 150 companies such as Allianz, BOSCH, Munich Airport, Generali, Google and many more are expected at Digicon 2018. International experts from business and science will present the latest trends, developments and results in the field of machine learning. End-users will talk about their success stories and analysts about the underlying methods. This year, Prof. Dr. Katharina Morik will give a presentation on "Machine Learning and Data Mining - From Theory to Practice".

 

Dortmund Data Science Center (DoDSc) ceremonially opened

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For many scientists at the TU Dortmund, handling large amounts of data is a fundamental part of their daily work. With the Collaborative Research Centre 876 ("Providing Information by Resource-Constrained Data Analysis", speaker: Prof. Dr. Morik) and the Collaborative Research Centre 823 ("Statistics of Nonlinear Dynamic Processes", speaker: Prof. Dr. Krämer), extensive research projects have already been set up at the TU Dortmund that focus on the analysis of large amounts of data. In addition, only recently, together with the University of Bonn and the Fraunhofer Institutes for Material Flow and Logistics (IML) and for Intelligent Analysis and Information Systems (IAIS), one of four competence centers for machine learning in Germany was acquired, which additionally underlines the profile area "data analysis, modelling and simulation" of the TU Dortmund.

This interdisciplinary expertise in data analysis will now be bundled in the Dortmund Data Science Center (DoDSc), to which the Faculties of Statistics, Computer Science, Mathematics and Physics belong. At the opening ceremony on 24 October, scientific lectures were held by Kevin Kröninger (Faculty of Physics, TU Dortmund) and Thomas Lengauer (Max Planck Institute for Computer Science, Saarbrücken), who pointed out further research perspectives for data science. Florian Kruse of Pont 8 was on the program for commercial applications. In addition, Trevor Hastie from Stanford University sent congratulations on the opening of the Dortmund Data Science Center.

News article of the TU Dortmund on the opening of the DoDSc (in German)

 

Photo: TU Dortmund/Martina Hengesbach

Data - who owns it, who stores it, who can access it?

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Big data, data science, machine learning - terms that refer to data and its value for many applications. Who benefits from the data? Who may use it? How are scientific progress, success in economic competition and protection of privacy achieved simultaneously? This volume presents the papers presented at a conference of the North Rhine-Westphalian Academy of Sciences and Arts, with contributions from the fields of computer science, statistics, medicine, engineering, law and economics. In this way, the Academy participates in the urgently needed discussion on how to meet the challenges posed by today's possibilities of data collection and use.

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Stellenausschreibung Sachbearbeiterin

Am Lehrstuhl für künstliche Intelligenz ist eine Stelle als Sachbearbeiterin im Sekretariat ausgeschrieben.

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Competence Center for Machine Learning Rhine-Ruhr will be launched — we are hiring!

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Machine learning is the basis of the digital transformation. Hence, internationally outstanding research and effective transfer into applications is of the utmost importance for a society. Germany and France aim at a collaboration in machine learning research. In this context, the Competence Centre for Machine Learning Rhine-Ruhr (ML2R), funded by the Federal Ministry of Education and Research (BMBF), is now being launched in Dortmund and Bonn/Sankt Augustin.

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29.5.2018 - Chancellor Merkel discusses artificial intelligence with experts of the field

group photo with Chancellor Merkel

Katharina Morik was invited as an expert in machine learning, co-chairing a group in the German Platform for Learning Systems and head of the Competence Center for Machine Learning Rhein Ruhr.

28th of May at the Federal Chancellery, Angela Merkel was talking with experts on artificial intelligence.
Artificial intelligence is one of the central technologies of the future and currently one of the
biggest drivers of digitalization. 
The Chancellor discussed the potentials and challenges of artificial intelligence for
Germany. The Federal Government intends to bundle all measures in this area and combine
them into a national strategy to promote the use of artificial intelligence for the benefit of
the economy and society.

Merkel invited experts from universities, research institutions, and companies. In addition to her,
the Federal Government was represented by the Head of the Federal Chancellery, the Federal Ministers
of Education and Research, Economics and Energy, Labour and Social Affairs, Transport and
Digital Infrastructure, and by the Federal Government Commissioner for Digitalization.

The conversation was not public.

Photo: Federal Government / Jochen Eckel

International Conference: The Next Level of Mobility: Automation, Multi-Modal Services and the Importance of Data

Das nchste Level der Mobilitt Poster

The integrated acquisition and evaluation of data influences our day to day lives, particularly with respect to traffic and mobility. Digital technologies are used to control traffic, traffic infrastructures as well as overall traffic flow. As a result, increasingly specific products can be developed. However, data protection is always a major concern when dealing with data. These concerns will be addressed at the international conference in Dortmund on the 28th of May, 2018.

Conference agenda (in German)

Nico Piatkowski Defends His Dissertation at LS8

Nico Piatkowski

Nico Piatkowski has successfully defended his dissertation “Exponential Families on Resource-Constrained Systems” with an overall grade of summa cum laude. The committee members were Prof. Jens Teubner (chair, TU Dortmund), Prof. Katharina Morik (supervisor, TU Dortmund), Prof. Stefano Ermon (reviewer, Stanford University), Prof. Jakob Rehof (TU Dortmund).

Assistant Professor (W1) in Smart City Science

With more than 6,200 employees in research, teaching and administration and its unique profile, TU Dortmund University shapes prospects for the future: The cooperation between engineering and natural sciences as well as social and cultural studies promotes both technological innovations and progress in knowledge and methodology. And it is not only the more than 34,600 students who benefit from that. The Faculty for Computer Science at TU Dortmund University, Germany, is looking for a Assistant Professor(W1) in Smart City Science specialize in research and teaching in the field of Smart City Science with methodological focus in computer science (e.g. machine learning and/or algorithm design) and applications in the area of Smart Cities (e.g. traffic prediction, intelligent routing, entertainment, e-government or privacy).

Applicants profile:

  • An outstanding dissertation and excellent internationally recognized publications in the field of computer science methods for Smart Cities
  • Experience in raising third-party funding
  • The willingness to participate in research collaborations within and outside TU Dortmund University, such as CRC 876 "Availability of information through analysis under resource constraints"
  • Language competence in German or English are required
  • Appropiate participation in teaching in the faculty's courses of study

The TU Dortmund University aims at increasing the percentage of women in academic positions in the Department of Computer Science and strongly encourages women to apply. Disabled candidates with equal qualifications will be given preference.

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Lecture "Große Daten, Kleine Geräte" ("Big Data, Small Devices") in the Science Notes

Science Notes Poster

Intelligent fabrics, fitness wristbands, smartphones, cars, factories, and large scientific experiments are recording tremendous data streams. Machine Learning can harness these masses of data, but storing, communicating, and analysing them spends lots of energy. Therefore, small devices should send less, but more meaningful data to a central processor where additional analyses are performed.

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Katharina Morik among the leaders of Germany's "Platform Learning Systems"

WG leaders

Germany ranks among the pioneers in the field of learning systems and Artificial Intelligence. The aim of the Plattform Lernende Systeme initiated by the Federal Ministry of Education and Research is to promote the shaping of Learning Systems for the benefit of individuals, society and the economy. Learning Systems will improve people’s quality of life, strengthen good work performance, secure growth and prosperity and promote the sustainability of the economy, transport systems and energy supply.

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