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.
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.
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.
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).
As part of the Cyber Valley initiative, the Max Planck Research Group for Rationality Enhancement headed by Dr. Falk Lieder started today. The scientific mission of the group is to lay the cognitive and technological foundations for helping people become more effective. Our approach combines building and testing computational models of human learning and decision-making with developing intelligent systems for enhancing human rationality and evaluating them in field experiments. We are looking forward to five productive and successful years!
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.
Composite surface has features that can move microparticles, mix droplets, repel biofilms and more.
A prestigious junior scientist fellowship is awarded to the MPI-IS researcher