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Institute News

Best poster award at KogWis 2018

  • 04 September 2018

From September 3-6, 2018 the 14th biannual conference of the German Society for Cognitive Science (GK) was held at the Technische Universität Darmstadt. Contributing to the main topic of the conference "Computational Approaches to Cognitive Science", we presented our work on cognitive tutors, which won the best poster award!

A boost for biofuel cells

  • 30 August 2018

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.

Peer Fischer Linda Behringer

A slippery world in bio-inspired robotics

  • 27 August 2018

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.

Matthew Woodward Metin Sitti Linda Behringer

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

Yash Raj Jain joined our lab

  • 01 August 2018

Yash Raj Jain has joined our lab for an internship on measuring and reverse-engineering metacognitive learning. He is a final year undergraduate pursuing a dual major in Computer Science and Economics at BITS Pilani, Hyderabad, India. Welcome Yash!

Yash Raj Jain

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.

Umut Sanli Kahraman Keskinbora Gisela Schütz Linda Behringer

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 J. 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