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 New method for simulating yarn-cloth patterns to be unveiled at ACM SIGGRAPH
09.07.2020 | Association for Computing Machinery

nachricht Virtual Reality Environments for the Home Office
09.07.2020 | Universität Stuttgart

All articles from Information Technology >>>

The most recent press releases about innovation >>>

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

Im Focus: The spin state story: Observation of the quantum spin liquid state in novel material

New insight into the spin behavior in an exotic state of matter puts us closer to next-generation spintronic devices

Aside from the deep understanding of the natural world that quantum physics theory offers, scientists worldwide are working tirelessly to bring forth a...

Im Focus: Excitation of robust materials

Kiel physics team observed extremely fast electronic changes in real time in a special material class

In physics, they are currently the subject of intensive research; in electronics, they could enable completely new functions. So-called topological materials...

Im Focus: Electrons in the fast lane

Solar cells based on perovskite compounds could soon make electricity generation from sunlight even more efficient and cheaper. The laboratory efficiency of these perovskite solar cells already exceeds that of the well-known silicon solar cells. An international team led by Stefan Weber from the Max Planck Institute for Polymer Research (MPI-P) in Mainz has found microscopic structures in perovskite crystals that can guide the charge transport in the solar cell. Clever alignment of these "electron highways" could make perovskite solar cells even more powerful.

Solar cells convert sunlight into electricity. During this process, the electrons of the material inside the cell absorb the energy of the light....

Im Focus: The lightest electromagnetic shielding material in the world

Empa researchers have succeeded in applying aerogels to microelectronics: Aerogels based on cellulose nanofibers can effectively shield electromagnetic radiation over a wide frequency range – and they are unrivalled in terms of weight.

Electric motors and electronic devices generate electromagnetic fields that sometimes have to be shielded in order not to affect neighboring electronic...

Im Focus: Gentle wall contact – the right scenario for a fusion power plant

Quasi-continuous power exhaust developed as a wall-friendly method on ASDEX Upgrade

A promising operating mode for the plasma of a future power plant has been developed at the ASDEX Upgrade fusion device at Max Planck Institute for Plasma...

All Focus news of the innovation-report >>>

Anzeige

Anzeige

VideoLinks
Industry & Economy
Event News

Contact Tracing Apps against COVID-19: German National Academy Leopoldina hosts international virtual panel discussion

07.07.2020 | Event News

International conference QuApps shows status quo of quantum technology

02.07.2020 | Event News

Dresden Nexus Conference 2020: Same Time, Virtual Format, Registration Opened

19.05.2020 | Event News

 
Latest News

Looking at linkers helps to join the dots

10.07.2020 | Materials Sciences

Surprisingly many peculiar long introns found in brain genes

10.07.2020 | Life Sciences

Goodbye Absorbers: High-Precision Laser Welding of Plastics

10.07.2020 | Materials Sciences

VideoLinks
Science & Research
Overview of more VideoLinks >>>