Forum for Science, Industry and Business

Sponsored by:     3M 
Search our Site:

 

Machines learn how to learn

01.12.2015

On 30 November, the Max Planck ETH Center for Learning Systems was inaugurated in Tübingen

For humans, and for animals in general, it is normal; but machines have first to learn it: how to learn. To assist them in this process, the Max Planck Society and the ETH Zurich have set up the Max Planck ETH Center for Learning Systems. The researchers at the Center want to understand what the principles of learning are - in theory as well as in real machines. They want to get robots to act autonomously in an unknown, complex environment, among other things.


© Max Planck Institute for Intelligent Systems

The Center is an essential element in the development of the research field of learning and intelligent systems in Baden-Württemberg. On the basis of their cooperation, the MPG and the ETH provide scientific and personnel synergies and ensure that European research in this field remains competitive worldwide," said Max Planck President Martin Stratmann with a view to the inauguration ceremony on 30 November in Tübingen.

Baden-Württemberg’s Minister of Science, Research and the Arts, Theresia Bauer, the Swiss ambassador Christine Schraner Burgener, Max Planck President Martin Stratmann as well as ETH President Lino Guzzella were expected to attend.

Robots as disaster relief workers could save human rescue teams from having to undertake dangerous operations. And as nursing assistants they could help to cope with the problems of an ageing society with more and more people needing assistance. It will be a few years yet before they are able to undertake such tasks, however.

After all, two-legged robots today cannot move autonomously across an uneven floor – their motoric skills do not adapt quickly enough to unfamiliar terrain. If the machines learned as well as insects, not to mention human beings, a rocky path at least would no longer present a problem. The Max Planck ETH Center for Learning Systems aims to equip them with this ability to learn.

“We not only want to solve application problems, such as teaching a two-legged robot how to move on uneven ground,” says Bernhard Schölkopf, a Director at the Max Planck Institute for Intelligent Systems in Tübingen and one of two Co-Directors of the Center in addition to Thomas Hofmann from ETH Zurich. “We first want to understand what constitutes the intelligence of living beings which enables them to organize perception, learning and action and to act successfully in a complex environment.”

Artificial systems should learn like living beings

The researchers then want to use the insights from these fundamental investigations to further develop the methods of machine learning. These methods are already in use today to detect statistical regularities in large sets of data. But they are always limited to specific tasks. A method for reliably recognizing faces on images, for example, does not help a robot to practise moving steadily over any type of terrain.

“The learning ability of humans in particular is largely independent of the specific task, in contrast,” explains Schölkopf. “If we have a better understanding of how what has been learned can be transferred to different tasks, we could possibly develop artificial systems which learn like living beings.”

The general principles of learning should then not only impart intelligence to robots, but also to the software which analyzes large volumes of data, for example. Computers should no longer determine only statistical relationships in large sets of data, but also causal ones. They should autonomously estimate the effect of genetic modifications in data about the genetic code or protein interactions; these are causal relationships about which even medical professionals still have no knowledge to date.

The Max Planck ETH Center, which is the home of the collaboration between researchers from Tübingen, Stuttgart and Zürich, builds on an existing cooperation between the Max Planck Institute for Intelligent Systems and the ETH Zurich in the field of machine learning. Its objectives are not only scientific collaboration, but also the joint use of research infrastructure and the training of doctoral students. Joint summer schools and workshops will be organized via the Center. The Center will receive total funding of five million euros in the first five years, and this will be contributed equally by the Max Planck Society and the ETH Zurich.

Contact

Prof. Dr. Bernhard Schölkopf
Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
Phone: +49 7071 601-551

Fax: +49 7071 601-552

Email: bernhard.schoelkopf@tuebingen.mpg.de

 
Claudia Däfler
Max Planck Institute for Intelligent Systems, Stuttgart site, Stuttgart
Phone: +49 711 689-3094

Fax: +49 711 689-1932

Email: daefler@mg.mpg.de


Jens Eschert
Press and Public Relations

Administrative Headquarters of the Max Planck Society, München
Phone: +49 89 2108-1488

Email: eschert@gv.mpg.de

Prof. Dr. Bernhard Schölkopf | Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen

More articles from Information Technology:

nachricht Cutting edge research for the industries of tomorrow – DFKI and NICT expand cooperation
21.03.2017 | Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, DFKI

nachricht Molecular motor-powered biocomputers
20.03.2017 | Technische Universität Dresden

All articles from Information Technology >>>

The most recent press releases about innovation >>>

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

Im Focus: Giant Magnetic Fields in the Universe

Astronomers from Bonn and Tautenburg in Thuringia (Germany) used the 100-m radio telescope at Effelsberg to observe several galaxy clusters. At the edges of these large accumulations of dark matter, stellar systems (galaxies), hot gas, and charged particles, they found magnetic fields that are exceptionally ordered over distances of many million light years. This makes them the most extended magnetic fields in the universe known so far.

The results will be published on March 22 in the journal „Astronomy & Astrophysics“.

Galaxy clusters are the largest gravitationally bound structures in the universe. With a typical extent of about 10 million light years, i.e. 100 times the...

Im Focus: Tracing down linear ubiquitination

Researchers at the Goethe University Frankfurt, together with partners from the University of Tübingen in Germany and Queen Mary University as well as Francis Crick Institute from London (UK) have developed a novel technology to decipher the secret ubiquitin code.

Ubiquitin is a small protein that can be linked to other cellular proteins, thereby controlling and modulating their functions. The attachment occurs in many...

Im Focus: Perovskite edges can be tuned for optoelectronic performance

Layered 2D material improves efficiency for solar cells and LEDs

In the eternal search for next generation high-efficiency solar cells and LEDs, scientists at Los Alamos National Laboratory and their partners are creating...

Im Focus: Polymer-coated silicon nanosheets as alternative to graphene: A perfect team for nanoelectronics

Silicon nanosheets are thin, two-dimensional layers with exceptional optoelectronic properties very similar to those of graphene. Albeit, the nanosheets are less stable. Now researchers at the Technical University of Munich (TUM) have, for the first time ever, produced a composite material combining silicon nanosheets and a polymer that is both UV-resistant and easy to process. This brings the scientists a significant step closer to industrial applications like flexible displays and photosensors.

Silicon nanosheets are thin, two-dimensional layers with exceptional optoelectronic properties very similar to those of graphene. Albeit, the nanosheets are...

Im Focus: Researchers Imitate Molecular Crowding in Cells

Enzymes behave differently in a test tube compared with the molecular scrum of a living cell. Chemists from the University of Basel have now been able to simulate these confined natural conditions in artificial vesicles for the first time. As reported in the academic journal Small, the results are offering better insight into the development of nanoreactors and artificial organelles.

Enzymes behave differently in a test tube compared with the molecular scrum of a living cell. Chemists from the University of Basel have now been able to...

All Focus news of the innovation-report >>>

Anzeige

Anzeige

Event News

International Land Use Symposium ILUS 2017: Call for Abstracts and Registration open

20.03.2017 | Event News

CONNECT 2017: International congress on connective tissue

14.03.2017 | Event News

ICTM Conference: Turbine Construction between Big Data and Additive Manufacturing

07.03.2017 | Event News

 
Latest News

When Air is in Short Supply - Shedding light on plant stress reactions when oxygen runs short

23.03.2017 | Life Sciences

Researchers use light to remotely control curvature of plastics

23.03.2017 | Power and Electrical Engineering

Sea ice extent sinks to record lows at both poles

23.03.2017 | Earth Sciences

VideoLinks
B2B-VideoLinks
More VideoLinks >>>