Neues aus dem Institut

March for Science - Tübingen

  • 22 April 2017

Science, not Silence!

On April 22, 2017, Scientists walk out of the lab and into the streets. 

New Research School for Intelligent Systems

  • 07 March 2017

Call for Applications - Ph.D. positions

The International Max Planck Research School (IMPRS) for Intelligent Systems (IS) is starting in fall 2017. This new doctoral program will enroll about 100 Ph.D. students over the next six years. Apply now!

DOOMED - A new online learning approach from AMD in the spotlight

  • 01 March 2017

Text: Kathryn Ryan. New Rochelle, February 21, 2017.

Robotics researchers have developed a novel adaptive control approach based on online learning that allows for the correction of dynamics errors in real time using the data stream from the robot. The strategy is described in an article published in Big Data, a peer-reviewed journal from Mary Ann Liebert, Inc., publishers. The article is available free on the Big Data website until March 14, 2017.

Franzi Meier Daniel Kappler Nathan Ratliff Stefan Schaal

Heinz Maier-Leibnitz-Preis 2017 für Andreas Geiger

  • 23 February 2017

Der wichtigste Preis für den wissenschaftlichen Nachwuchs wird am 3. Mai 2017 in Berlin verliehen.

Andreas Geiger

How Can We Use Machine Learning in the Search for Exoplanets?

  • 01 February 2017

Bernhard Schölkopf joined the initiative "Latest Thinking"

Exoplanets are planets beyond our own solar system. Since they do not emit much light and moreover are very close to their parent stars they are difficult to detect directly. When searching for exoplanets, astronomers use telescopes to monitor the brightness of the parent star under investigation: Changes in brightness can point to a passing planet that obstructs part of the star’s surface. The recorded signal, however, contains not only the physical signal of the star but also systematic errors caused by the instrument. As Bernhard Schölkopf explains in this video, this noise can be removed by comparing the signal of the star of interest to those of a large number of other stars. Commonalities in their signals might be due to confounding effects of the instrument. Using machine learning, these observations can be used to train a system to predict the errors and correct the light curves.

Bernhard Schölkopf

Big Data in Robotics

  • 02 January 2017

Als Gast Editoren: Jeannette Bohg, Matei Ciocarlie, Javier Civera, Lydia E. Kavraki.

"... new big data methods have the potential to allow robots to understand and operate in significantly more complex environments than was possible even in the recent past. This should lead to a qualitative leap in the performance and deployability of robotics in a wide array of practical applications and real settings."

Jeannette Bohg

Startschuss für das Cyber Valley

  • 15 December 2016

Wissenschaft und Wirtschaft schließen eine der größten Forschungskooperationen Europas im Bereich der künstlichen Intelligenz

Intelligente Systeme werden unsere Zukunft prägen: Sie könnten uns als autonome Fahrzeuge chauffieren, als Haushaltshilfe im Alltag zur Seite stehen oder als winzige Roboter medizinische Dienste verrichten. Um die Entwicklung dorthin voranzutreiben, schaffen Partner aus Wissenschaft und Wirtschaft auf Initiative der Max-Planck-Gesellschaft und des Max-Planck-Instituts für Intelligente Systeme im Raum Stuttgart-Tübingen das Cyber Valley. Den Startschuss dazu geben Winfried Kretschmann, Ministerpräsident des Landes Baden-Württemberg, Theresia Bauer, Wissenschaftsministerin des Landes, und Martin Stratmann, Präsident der Max-Planck-Gesellschaft, sowie die weiteren Projektbeteiligten am Donnerstag, den 15. Dezember 2016, im Stuttgarter Neuen Schloss.

Matthias Tröndle

ICERM Seminar on Probabilistic Scientific Computing

  • 13 December 2016

An upcoming workshop in June 2017 will explore applications of probabilistic numerics.

Philipp Hennig

Dagstuhl Seminar on the Future of Learning with Kernels and Gaussian Processes

  • 03 December 2016

A recent meeting at the Leibniz Centre for Computer Science highlights the ongoing significance of analytic nonparametric models for machine learning.

Philipp Hennig

Finalist for the Best Interactive Session Paper

  • 17 November 2016

at the IEEE-RAS International Conference on Humanoid Robots (Humanoids 2016)

Brahayam Ponton Alexander Herzog Ludovic Righetti Stefan Schaal