We are looking for a PhD student working on interpretable representations.
This program is meant for doctoral candidates whose research interests are well matched to both the machine learning group in Cambridge (United Kingdom) and the MPI for Intelligent Systems in Tuebingen (Germany).
Scientists at the Max Planck Institute for Intelligent Systems in Stuttgart invented a new and cost-effective method for making X-ray lenses with nanometer-sized features and excellent focusing capabilities. By using an advanced 3D printing technique, a single lens can be manufactured under a minute from polymeric materials with extremely favorable X-ray optical properties, hence the costs of prototyping and manufacturing are strongly reduced. High-throughput and high-yield manufacturing processes of such lenses are sought after world-wide, which is why the scientists have filed a patent for their invention.
In chemistry, a reaction is spontaneous when it does not need the addition of an external energy input. How much energy is released in a reaction is dictated by the laws of thermodynamics. In the case of the spontaneous reactions that occur in the human body this is often not enough to power medical implants. Now, scientists at the Max Planck Institute for Intelligent Systems in Stuttgart, together with an international team of researchers, found a way to boost the energy output by storing and bundling the energy of many spontaneous enzyme reactions. The work is published in the journal Nature Communications and shows how abundant, simple enzyme reactions can be used to power energy-hungry reactions and electronic devices.
A roboticist at the Max Planck Institute for Intelligent Systems studies the multifunctional feet of the desert locust and its jumping behavior on different surfaces to extract the traits which contribute to enhancing surface friction and stop slips. The scientist then built a robot inspired by the locust. His findings about the morphological intelligence of the insect contribute to solving the complex locomotion problems seen in even the most advanced robots. This new field of research is increasingly gaining attention within the scientific community, so much so that renowned science journal Proceedings of the National Academy of Sciences published the researcher´s findings in its latest edition.
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.
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).