The Heinz Maier-Leibnitz Prize is recognized as the most important science award in Germany to early career researchers. It was awarded May 3rd, 2017 in Berlin.
Hosted this time by Jeannette Bohg
Science, not Silence!
The Managing Directors encourage staff and supporters of the Max Planck Institute for Intelligent Systems to participate in March for Science events.
The Max Planck Society has appointed Katherine J. Kuchenbecker as a director at the Stuttgart location of the Max Planck Institute for Intelligent Systems. She will lead the newly established "Haptic Intelligence" department, which focuses on incorporating the sense of touch into robotic systems.
Today’s most advanced scanning X-ray microscope is operated by the Max Planck Institute for Intelligent Systems at Helmholtz Zentrum Berlin.
The MAXYMUS scanning X-ray microscope has its home at Berlin’s synchrotron radiation source BESSY II at Helmholtz Zentrum Berlin. Scientific support is provided by Dr. Markus Weigand from the “Modern Magnetic Systems” department at the Max Planck Institute for Intelligent Systems (MPI-IS) under the management of Professor Dr. Gisela Schütz.
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!
A chemical reaction alters the colours of plasmonic prints
Plasmonic printing produces resolutions several times greater than conventional printing methods. In plasmonic printing, colours are formed on the surfaces of tiny metallic particles when light excites their electrons to oscillate. Researchers at the Max Planck Institute for Intelligent Systems in Stuttgart have now shown how the colours of such metallic particles can be altered with hydrogen. The technique could open the way for animating ultra-high-resolution images and for developing extremely sharp displays. At the same time, it provides new approaches for encrypting information and detecting counterfeits.
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.