Forum for Science, Industry and Business

Sponsored by:     3M 
Search our Site:

 

New RMU project in the field of artificial intelligence and deep learning

13.02.2019

Rhine-Main Universities Initiative Funding for Research supports the innovative DeCoDeML network of the universities of Mainz, Darmstadt, and Frankfurt

A new innovative cross-university project in the field of computer science designed to further develop deep learning, the current engine of artificial intelligence, has won out in the third round of the Rhine-Main Universities (RMU) Initiative Funding for Research.


Professor Kristian Kersting (l.) of TU Darmstadt and Professor Stefan Kramer (r.) of JGU coordinate the RMU Network for Deep Continuous-Discrete Machine Learning (DeCoDeML).

photo/©: Zahra Ahmadi

The RMU Network for Deep Continuous Discrete Machine Learning (DeCoDeML) will combine the machine learning expertise of Johannes Gutenberg University Mainz (JGU), TU Darmstadt, and Goethe University Frankfurt, enabling them to tackle important unresolved issues in deep learning.

Artificial intelligence (AI) is already an integral part of daily life where it plays a role in image recognition, voice control, and social bots through to self-driving cars and humanoid robots. One of the key problems is how to generate human perception and human activity in the form of "intelligent" computer programs.

In the RMU Network for Deep Continuous-Discrete Machine Learning, or DeCoDeML for short, the participating researchers at the Rhine-Main Universities of Mainz, Darmstadt, and Frankfurt will examine the question of how the results of machine learning can be made more comprehensible or at least perceived in such a way that they can be related to human understanding.

Johannes Gutenberg University Mainz has particular expertise in the analysis of complex structured data, such as sequences, time series, and images, as well as in the analysis of data streams. The particular focus of the team at TU Darmstadt is on machine learning using uncertain data and knowledge as well as the learning of intelligible prediction models in the form of rules.

Core research areas of Goethe University Frankfurt involve the cognitive aspects of learning, such as the question of how learning is guided by expectations, and in taking a systems-oriented view of technical systems with machine learning components. Areas of application include the understanding and generation of images and films (Mainz, Frankfurt), the processing of texts and speech (Darmstadt), and the analysis of biological sequences (Mainz).

Joint prior work has already taken place both within the universities and between the universities, as a result of work done by the researchers in earlier stages of their careers. Moreover, the two coordinators of the project, Professor Stefan Kramer of the Institute of Computer Science at JGU and Professor Kristian Kersting of the Computer Science Department at TU Darmstadt, are also currently active members of the Platform Learning Systems advisory committee of the German Federal Ministry of Education and Research (BMBF), which deals with policy formation and potential funding for machine learning in Germany. One of the purposes of the new RMU project is to facilitate a lively exchange of ideas between the institutions to result in new joint projects.

There are currently a total of eight professors involved from the three universities, three from Mainz, three from Darmstadt, and two from Frankfurt. The consortium can and may be extended. "We are very pleased that with support from the RMU Initiative Funding for Research we can create a platform here in the Rhine-Main area in the field of machine learning, on which further research networks will be able to build," commented the project coordinators.

The kick-off meeting for the DeCoDeML project took place on December 18, 2018. Academics from all three universities outlined their existing research approaches and projects in the field, providing a basis for setting up and developing new collaborations.

The RMU Initiative Funding for Research
The Rhine-Main Universities (RMU) are strengthening their mutual networks through the RMU Initiative Funding for Research. From the last call for proposals comprising a total of 49 applicants, six new research projects in African Studies, Educational Research, Computer Science, Meteorology, Pharmaceutical Sciences, and Business Education will be funded over the coming two years, each with up to EUR 100,000 per year.

Image:
http://www.uni-mainz.de/bilder_presse/RMU_DeCoDeML_kersting_kramer.jpg
Professor Kristian Kersting (l.) of TU Darmstadt and Professor Stefan Kramer (r.) of JGU coordinate the RMU Network for Deep Continuous-Discrete Machine Learning (DeCoDeML).
photo/©: Zahra Ahmadi

Contact:
Professor Dr. Stefan Kramer
Institute of Computer Science
Johannes Gutenberg University Mainz
55099 Mainz, GERMANY
phone +49 6131 39-21057
e-mail: kramer@informatik.uni-mainz.de
https://www.datamining.informatik.uni-mainz.de/stefan-kramer/

Professor Dr. Kristian Kersting
Computer Science Department & Center for Cognitive Science
Technische Universität Darmstadt
64289 Darmstadt
phone +49 6151 16-24411
e-mail: kristian.kersting@cs.tu-darmstadt.de
https://ml-research.github.io/people/kkersting/index.html

About RMU:

As outstanding research universities in the Rhine-Main area, Goethe University Frankfurt, Johannes Gutenberg University Mainz, and Technische Universität Darmstadt have joined together to form the RHINE-MAIN UNIVERSITIES alliance. The universities have worked in close cooperation with each other for more than ten years, leading to an agreement to form a strategic alliance in 2015.

The Rhine-Main universities are situated in close vicinity to one another in the Frankfurt/Rhine-Main metropolitan region and offer a wide range of disciplines from medicine and natural sciences to humanities and social sciences through to engineering. With over 100,000 students and 1,440 professors, they work closely in research and teaching, promote the mentoring of young researchers and participate in an exchange between academics, business and society.

The strategic alliance between the three universities increases their collective academic capacity. By joining together, they are able to complement each other’s strengths, promote strong research partnerships and expand the course and degree offerings for their students. This alliance not only strengthens the exchange of knowledge in the region, but also forms a strong network, shaping the Rhine-Main region into an academic hub that is globally visible and internationally attractive.

http://www.rhein-main-universitaeten.de/en

Wissenschaftliche Ansprechpartner:

Professor Dr. Stefan Kramer
Institute of Computer Science
Johannes Gutenberg University Mainz
55099 Mainz, GERMANY
phone +49 6131 39-21057
e-mail: kramer@informatik.uni-mainz.de
https://www.datamining.informatik.uni-mainz.de/stefan-kramer/

Professor Dr. Kristian Kersting
Computer Science Department & Center for Cognitive Science
Technische Universität Darmstadt
64289 Darmstadt
phone +49 6151 16-24411
e-mail: kristian.kersting@cs.tu-darmstadt.de
https://ml-research.github.io/people/kkersting/index.html

Petra Giegerich | idw - Informationsdienst Wissenschaft
Further information:
http://www.uni-mainz.de/

More articles from Information Technology:

nachricht CubeSats prove their worth for scientific missions
17.04.2019 | American Physical Society

nachricht Largest, fastest array of microscopic 'traffic cops' for optical communications
12.04.2019 | University of California - Berkeley

All articles from Information Technology >>>

The most recent press releases about innovation >>>

Die letzten 5 Focus-News des innovations-reports im Überblick:

Im Focus: Explosion on Jupiter-sized star 10 times more powerful than ever seen on our sun

A stellar flare 10 times more powerful than anything seen on our sun has burst from an ultracool star almost the same size as Jupiter

  • Coolest and smallest star to produce a superflare found
  • Star is a tenth of the radius of our Sun
  • Researchers led by University of Warwick could only see...

Im Focus: Quantum simulation more stable than expected

A localization phenomenon boosts the accuracy of solving quantum many-body problems with quantum computers which are otherwise challenging for conventional computers. This brings such digital quantum simulation within reach on quantum devices available today.

Quantum computers promise to solve certain computational problems exponentially faster than any classical machine. “A particularly promising application is the...

Im Focus: Largest, fastest array of microscopic 'traffic cops' for optical communications

The technology could revolutionize how information travels through data centers and artificial intelligence networks

Engineers at the University of California, Berkeley have built a new photonic switch that can control the direction of light passing through optical fibers...

Im Focus: A long-distance relationship in femtoseconds

Physicists observe how electron-hole pairs drift apart at ultrafast speed, but still remain strongly bound.

Modern electronics relies on ultrafast charge motion on ever shorter length scales. Physicists from Regensburg and Gothenburg have now succeeded in resolving a...

Im Focus: Researchers 3D print metamaterials with novel optical properties

Engineers create novel optical devices, including a moth eye-inspired omnidirectional microwave antenna

A team of engineers at Tufts University has developed a series of 3D printed metamaterials with unique microwave or optical properties that go beyond what is...

All Focus news of the innovation-report >>>

Anzeige

Anzeige

VideoLinks
Industry & Economy
Event News

Revered mathematicians and computer scientists converge with 200 young researchers in Heidelberg!

17.04.2019 | Event News

First dust conference in the Central Asian part of the earth’s dust belt

15.04.2019 | Event News

Fraunhofer FHR at the IEEE Radar Conference 2019 in Boston, USA

09.04.2019 | Event News

 
Latest News

New automated biological-sample analysis systems to accelerate disease detection

18.04.2019 | Life Sciences

Explosion on Jupiter-sized star 10 times more powerful than ever seen on our sun

18.04.2019 | Physics and Astronomy

New eDNA technology used to quickly assess coral reefs

18.04.2019 | Life Sciences

VideoLinks
Science & Research
Overview of more VideoLinks >>>