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Institute News

PhD Fellowships at the Max Planck ETH Center for Learning Systems

  • 03 August 2018

The joint academic program between the Max Planck Institute for Intelligent Systems and the Eidgenössische Technische Hochschule Zürich, the Max Planck ETH Center for Learning Systems (CLS) has opened the call for excellent doctoral fellows as of August 3rd, 2018.

Barbara Kreilkamp


Blind Justice

  • 25 July 2018

Researchers take new approach to machine learning fairness by applying privacy methods

Can justice be blind when it comes to machine learning? Researchers from The Alan Turing Institute, the Max Planck Institute for Intelligent Systems and Software Systems, the University of Cambridge and Warwick as well as from the University College London present findings at ICML 2018.

Linda Behringer


3D Nanofabrication of high-resolution X-ray focusing lenses

  • 20 July 2018

Scientists at the Max-Planck-Institute for Intelligent Systems developed advanced lenses for X-Ray microscopes to be able to see inside of materials in high resolution of only a few nanometers in size. Their unique layer-by-layer 3D fabrication method allows them to build extremely precise multilayered diffractive lenses with virtually unlimited aspect ratios.

Gisela Schütz Linda Behringer


Funded Ph.D. positions available at IMPRS-IS

  • 20 July 2018

Want to contribute to world-leading research in areas such as machine learning, computer vision, robot dynamics and control, micro- and nano-robotics, or haptics? Then sign up for the International Max Planck Research School for Intelligent Systems or IMPRS-IS now!

Leila Masri


Summer Colloquium 2018

  • 15 July 2018

Great talks - an 80th birthday - the Günter Petzow Prize ceremony - fantastic atmosphere - a sunny evening BBQ

Robots as household helpers, learning robots, mini robots for medical research, and big data: this year's summer colloquium focused on current topics in artificial intelligence.

Katherine Kuchenbecker Ildikó Papp-Wiedmann Matthias Tröndle Claudia Daefler


First machine learning method capable of accurate extrapolation

  • 13 July 2018

Scientists develop new machine learning method that can make robots safer - New method provides simpler and more intuitive models of physical situations

Understanding how a robot will react under different conditions is essential to guaranteeing its safe operation. But how do you know what will break a robot without actually damaging it? A new method developed by scientists at the Institute of Science and Technology Austria and the Max Planck Institute for Intelligent Systems is the first machine learning method that can use observations made under safe conditions to make accurate predictions for all possible conditions governed by the same physical dynamics. Especially designed for real-life situations, their method provides simple, interpretable descriptions of the underlying physics. The researchers will present their findings tomorrow at this year’s prestigious International Conference for Machine Learning (ICML).

Georg Martius


Vector Foundation 2018 MINT-Innovation Grant

  • 03 July 2018

Congratulations to Mariana Alarcón-Correa and Vincent M. Kadiri

Mariana Alarcon-Correa Vincent Mauricio Kadiri


DynaMAX Projekt erhält großzügige Mittel vom BMBF

  • 29 June 2018

Das Bundesministerium für Bildung und Forschung unterstützt Projekt des Max-Planck-Instituts für Intelligente Systeme innerhalb des Deutsch-Schwedischen Großforschungsprojekts Röntgen-Ångström-Cluster mit 1,2 Millionen Euro. Ein Drittel davon gehen für das Teil-Projekt DynaMAX nach Stuttgart.

Gisela Schütz Linda Behringer


A multifunctional, multiscale, reconfigurable surface

  • 28 June 2018

Composite surface has features that can move microparticles, mix droplets, repel biofilms and more.

Wendong Wang


Jia-Jie Zhu receives the Marie Curie Individual Fellowship

  • 27 June 2018

A prestigious junior scientist fellowship is awarded to the MPI-IS researcher

Jia-Jie Zhu Georg Martius