2nd prize at the "Fast Forward Science 2015" Competition
The movie "Light gets on your nerves" was financed and coordinated by the Max Planck Society and pictures the research of the Brain-Computer-Interfaces group at our institute.
MLSS 2015 Tübingen
The 4th MLSS at Tübingen welcomes more than 110 participants, bringing together 35 nationalities from 19 different countries.
Probabilistic Numerical Methods assign Uncertainty to Deterministic Computations
With a new approach, Scientists of the Max Planck Institute for Intelligent Systems aim to make numerical algorithms more efficient. During the next five years, this research project will be supported by the Emmy-Noether-Programme of the German Research Foundation (DFG) with nearly a million Euros. The applicant Dr. Philipp Hennig prevailed in a competitive process. With the start of two new PhD students in April this Emmy Noether Group takes up its research activities.
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.
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.
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)