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Max Planck Institute for Intelligent Systems

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Founded on March 18, 2011, the Max Planck Institute for Intelligent Systems[1] (MPI-IS) is one of the 86 research institutes of the Max Planck Society. With locations in Stuttgart and Tübingen, it combines interdisciplinary research in the growing field of intelligent systems. Intelligent systems are becoming increasingly important in many areas of life - as virtual systems on the Internet or as cyber-physical systems in the physical world. Artificial intelligent systems can be used in a broad range of areas, for instance in autonomous vehicles or to diagnose and fight diseases.

Research[edit]

Researchers at the Max Planck Institute for Intelligent Systems (MPI-IS) strive to understand the principles of perception, action, and learning which underlie intelligent systems that successfully interact with complex environments. In addition to gaining a scientific understanding of natural intelligent systems, the institute's researchers aim to use such insights to design artificially intelligent systems in the future. With campuses in Tübingen and Stuttgart, the MPI-IS combines theory, software, and hardware expertise in a single interdisciplinary center. This combination enables the pursuit of basic research in a broad range of connected topics within the research field of intelligent systems.

Research Departments[edit]

  • Autonomous Motion (under interim management, Bernhard Schölkopf), Tübingen
  • Empirical Inference(Bernhard Schölkopf), Tübingen
  • Haptic Intelligence (Katherine J. Kuchenbecker), Stuttgart
  • Modern Magnetic Systems (Gisela Schütz), Stuttgart
  • Perceiving Systems (Michael J. Black), Tübingen
  • Physical Intelligence (Metin Sitti), Stuttgart
  • Theory of Inhomogeneous Condensed Matter (Siegfried Dietrich), Stuttgart

Research Groups[edit]

  • Autonomous Vision (Andreas Geiger), Tübingen
  • Autonomous Learning (Georg Martius), Tübingen
  • Dynamic Locomotion (Alexander Badri-Sprowitz), Stuttgart
  • Embodied Vision (Jörg Stückler), Tübingen
  • Intelligent Control Systems (Sebastian Trimpe), Stuttgart
  • Locomotion in Biorobotic and Somatic Systems (Ardian Jusufi), Stuttgart
  • Micro, Nano, and Molecular Systems (Peer Fischer), Stuttgart
  • Movement Generation and Control (Ludovic Righetti), Tübingen
  • Physics for Inference and Optimization (Caterina De Bacco), Tübingen
  • Rationality Enhancement (Falk Lieder), Tübingen
  • Statistical Learning Theory] (Ulrike von Luxburg), Tübingen
  • Smart Nanoplasmonics (Laura Na Liu), Stuttgart

Fostering Young Researchers[edit]

The institute fosters young researchers by providing an interdisciplinary education in the field of intelligent systems and offering state-of-the-art research opportunities. Doctoral students from all over the world play a key role in the institute's research activities. About half the scientists at the MPI-IS are currently at the doctoral level. In addition to individual doctoral scholarships, many Ph.D. students at the MPI-IS are participating in one of the graduate programs that the institute has set up with partner universities. Established in 2017 in partnership with the University of Stuttgart and the University of Tübingen, the International Max Planck Research School for Intelligent Systems (IMPRS-IS) is the institute's main doctoral program. In addition, the institute runs joint doctoral programs with university partners abroad: the Max Planck ETH Center for Learning Systems with the ETH Zurich, Switzerland, the Cambridge-Tübingen Machine Learning with the University of Cambridge, UK, and a joint Ph.D. program in cooperation with the Carnegie Mellon University in Pittsburgh, USA.

Initiatives and Networks[edit]

The Max Planck Institute for Intelligent Systems and ETH Zurich cooperate in the research field of "Learning Systems". For this purpose, they have founded the Max Planck ETH Center for Learning Systems (CLS) research network. It is the first joint doctoral program of ETH Zurich and the Max Planck Society. Since the program was founded in 2015, 112 doctoral students and post-docs have been admitted as Fellows or Associated Fellows. CLS currently counts 50 directors, professors, and research group leaders among its members or associated members. In July 2019, the Max Planck Society and ETH Zurich agreed to extend the program's funding[2] until 2025.

Since December 2016, the Max Planck Institute for Intelligent Systems is part of the research network Cyber Valley[3]. Partners are the University of Stuttgart, the University of Tübingen, the Fraunhofer Gesellschaft, the State of Baden-Württemberg and seven industrial partners: Amazon, BMW Group, Daimler AG, IAV GmbH, Porsche AG, Robert Bosch GmbH, and ZF Friedrichshafen AG. Cyber Valley is also supported by the Christian Bürkert Foundation, the Gips-Schüle Foundation, the Vector Foundation, and the Carl Zeiss Foundation.

Founded in 2018, the European Laboratory for Learning and Intelligent Systems (ELLIS) aims to strengthen Europe's role in global AI research[4] by providing outstanding machine learning scientists with opportunities to conduct top-class research locally. It also aims to be a modern training and further education location in the field of machine learning. Cooperation between scientists and researchers from industry creates a breeding ground for start-ups and technology transfer, which promotes economic development. ELLIS members call for a significant increase in investment in the research infrastructure in the field of machine learning and the establishment of interconnected ELLIS locations throughout Europe.

External Links[edit]

References[edit]


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  1. "New research emphasis "Intelligent Systems" - Max Planck Society establishes highly innovative research facility for "Intelligent Systems" in Baden-Württemberg". Retrieved 14 July 2020.
  2. "Max Planck ETH Center for Learning Systems extended by five years". Retrieved 14 July 2020.
  3. "Germany's Cyber Valley aims to become leading AI hub". Financial Times. Retrieved 14 July 2020.
  4. "Scientists plan huge European AI hub to compete with US". The Guardian. Retrieved 14 July 2020.