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3D-microdevice for minimally invasive surgeries

  • 22 February 2017

Scientists take challenge of developing functional microdevices for direct access to the brain, spinal cord, eye and other delicate parts of human body

A tiny robot that gets into the human body through the simple medical injection and, passing healthy organs, finds and treats directly the goal – a non-operable tumor… Doesn’t it sound at least like science-fiction? To make it real, a growing number of researchers are now working towards this direction with the prospect of transforming many aspects of healthcare and bioengineering in the nearest future. What makes it not so easy are unique challenges pertaining to design, fabrication and encoding functionality in producing functional microdevices.

Metin Sitti Hakan Ceylan Ceren Garip


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

Guest edited by 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


Go-ahead for Cyber Valley

  • 15 December 2016

Science and industry form one of Europe's largest research partnerships in artificial intelligence

Intelligent systems will shape our future: they could drive us as autonomous cars, help us out in the home on a daily basis or perform medical services as tiny robots. An initiative by the Max Planck Society and the Max Planck Institute for Intelligent Systems in the Stuttgart-Tübingen area is bringing together partners from science and industry to establish Cyber Valley where systems can be developed that will be capable of performing such feats. Winfried Kretschmann, Minister-President of Baden-Württemberg, Theresia Bauer, Minister of Science in Baden-Württemberg and Martin Stratmann, President of the Max Planck Society, together with the other project participants, have launched the initiative on Thursday, 15 December 2016 in Stuttgart's Neues 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


Summer School on Probabilistic Numerics in 2017

  • 01 November 2016

The Dobbiaco Summer School 2017 will be devoted to Probabilistic Numerics, and taught by Philipp Hennig & Mark Girolami.

Philipp Hennig


Finalist for Best Paper Award

  • 28 October 2016

at the 4th RSI International Conference on Robotics and Mechatronics (ICROM).

Majid Khadiv Alexander Herzog Stefan Schaal Ludovic Righetti


The Paralympics are over - the Cybathlon starts!

  • 08 October 2016

CYBATHLON Championship for Athletes with Disabilities

Zürich. On October 8, 2016, a collaboration of the research group "Brain-Computer-Interfaces" at the MPI-IS and the "Autonomous Systems Lab" at the TU Darmstadt will send a joint team into the Brain-computer-Interface Race at the Cybathlon 2016 in Zurich. The so called Athena-Minerva team consists mainly of computer science students of bachelor and master-level at the Technical University Darmstadt. They are interested in "Machine Learning", signal processing and especially for Brain-Computer-Interfaces (BCI). The team is headed by Moritz Grosse-Wentrup from MPI-IS and by Jan Peters, TU Darmstadt. The pilot is Sebastian Reul.

Moritz Grosse-Wentrup