In machine learning, we use data to automatically find dependences in the world, with the goal of predicting future observations. Most machine learning methods build on statistics, but one can also try to go beyond this, assaying causal structures underlying statistical dependences. The hope is that this also allows prediction in certain situations where systems change, for instance by interventions.
Klaus Tschira Award 2014 for Science Communication in the field of Computer Science
Tübingen / Heidelberg, October 9, 2014. Science in clear words: Dr. Sebastian Trimpe, a research scientist in the “Autonomous Motion Department" (Stefan Schaal) at the Tübingen Max Planck Institute for Intelligent Systems, has written a short, comprehensible text (in German) that describes the research he conducted during his PhD at ETH Zurich. As winner in the category of computer science, he is one of six awardees who received the Klaus Tschira Award for achievements in public understanding of science on Thursday, October 9, 2014 in Heidelberg.
Winter and Summer Term 2013 / 14 at Graduate School of Neural Information Processing / University of Tübingen
The senior master students present this years teaching awards to Dr. Moritz Grosse-Wentrup (group leader Brain-Computer-Interface group) and Dr. Daniel Braun (group leader Sensorimotor Learning & Decision Making group). Congratulations!
Tübingen Scientist receives award for outstanding achievements in Computer Science
Prof. Dr. Bernhard Schölkopf, Director at the Tübingen Max Planck Institute for Intelligent Systems, was awarded the 2014 Royal Society Milner Award for being a pioneer in machine learning whose work defined the field of “kernel machines” which are widely used in all areas of science and industry. The Royal Society Milner Award, supported by Microsoft Research, is given annually for outstanding achievement in computer science by a European researcher. The winner of the award receives a medal and a personal prize of £5,000. Prior to the award ceremony end of November 2014, Schölkopf is invited to deliver a public lecture on his research at the Society.
Carl Johann Simon-Gabriel erhält renommiertes Doktorandenstipendium für seine Forschung an Kausaler Inferenz
Carl Johann Simon-Gabriel, 25-jähriger Nachwuchsforscher am Max-Planck-Institut für Intelligente Systeme, Abteilung Empirische Inferenz (Prof. Dr. Bernhard Schölkopf), erhält 2014 als einer von 15 Jungforschern in Europa eines der begehrten Doktorandenstipendien von Google. Laut Google gehören sie international zur aufstrebenden Elite im Bereich der Informatik. Als Kriterien für die dreijährige Förderung führt Google an, dass die Stipendiaten außerordentlich fähig, kenntnisreich und kreativ seien. Mehr als nur Informatik: Sprachgewandt und Musikbegeistert
Tübingen hosts an International Workshop in a trend-setting research field of combined Neuro- and Computerscience
The international Workshop „Pattern Recognition in Neuroimaging“ (PRNI 2014, www.prni.org) with more than 100 participants takes place from 4th to 6th June 2014 at the Max Planck Institute for Intelligent Systems, Campus Tübingen. This young workshop builds an important bridge between basic researchers of Neuroscience and Computer Science. Amongst others, the participants discuss new methods and applications of fMRI (functional magnetic resonance imaging) - nowadays a common procedure in medical diagnosis. This workshop is a trend-setter for a new, dynamic and future-orientated research area. Moreover, it contributes to strengthen the research location Tübingen in the field of Computer Science, especially at the interface to Neuroscience.
MPI for Intelligent Systems and ETH Zurich (Dept. of Computer Science) have united to become the world’s principal center for autonomous intelligent systems, 'Learning Systems'.
To foster research efforts, especially among graduates, workshops and conferences will take place and both institutions provide ample access to research facilities. The first summer school for PhD students took place from June 16-20, 2014, at ETH Zurich. More background information at: ETH Zurich: Pioneering research network in learning systems established Research Network on Learning Systems (Summer School 2014, Zurich)
Sebastian Weichwald and Timm Meyer, department Empirical Inference, received a best student paper award at the 4th International Workshop on Cognitive Information Processing (CIP 2014) for the paper: Decoding Index Finger Position from EEG Using Random Forests. Weichwald S., Meyer T., Schölkopf B., Ball T. and Grosse-Wentrup M. (CIP 2014)
Moritz Grosse-Wentrup's research on Brain Computer Interfaces, part of the department Empirical Inference of Bernhard Schölkopf, is featured in the latest publications of the Max Planck Society. German Ein Weg aus dem inneren Gefängnis Der direkte Draht zum Denken English A Way Out of the Inner Prison