Emeritus Scientific Member of the Max Planck Institute for Intelligent Systems (formerly Max Planck Institute for Metals Research), Stuttgart, died Nov 6, 2019, at the age of 92.
Funded Ph.D. Positions at the Max Planck ETH Center for Learning Systems
The Max Planck Institute for Intelligent Systems and ETH Zurich have joined forces creating the Max Planck ETH Center for Learning Systems (CLS). The goal of the CLS is to advance artificial intelligence by achieving a fundamental understanding of perception, learning and adaption in complex systems by providing a platform for exchange in research and education. CLS is currently accepting Ph.D. applications for its 2020 generation of doctoral fellows. The application deadline is Friday, November 15, 2019.
A new hybrid material developed by scientists at the University of Liverpool and the Max Planck Institute for Intelligent Systems may bring the dream of carbon-free nuclear fusion power a step closer.
The Machine Learning scientist is in Paris to attend the Global Forum on AI for Humanity which brings together many of the world’s leading AI experts who together work on promoting and protecting a human-centric and ethical approach to AI, grounded in human rights.
Many students from around the world choose the Max Planck Institute for Intelligent Systems for research stays abroad. The Haptic Intelligence Department is currently hosting several promising young researchers.
A team of scientists headed by Dr. Tian Qiu, leader of the Cyber Valley Biomedical Microsystems research group, and Professor Peer Fischer from the Max Planck Institute for Intelligent Systems in Stuttgart have made a decisive contribution to improving complex surgical training by developing a very realistic prostate phantom. They then gave the 3D printed model to a medical team from the University of Freiburg, which practiced the surgical removal of the gland. To quantitatively evaluate the results, the group of scientists developed an automatic system to provide feedback to the trainee surgeon immediately after the training session – something that would be impossible with real tissue.
Researchers send wake-up call to the car industry
A team of researchers in Tübingen show that optical flow systems based on deep neural networks – a likely component of future autonomous cars – are vulnerable to adversarial attacks. The computer vision experts are shaking up the automotive industry by warning car manufacturers around the globe that it could take a simple color pattern to put the brakes on computer vision systems in autonomous cars.