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Institute News

Maria Wirzberger appointed Tenure-Track Assistant Professor at University of Stuttgart

  • 22 March 2020

Our former postdoctoral researcher Maria Wirzberger has just taken on her new position as Tenure Track Assistant Professor with a focus on teaching and learning with intelligent systems at the University of Stuttgart.

Maria Wirzberger

Article about Resource-rational anaylsis in Behavioral and Brain Sciences

  • 18 March 2020

"Resource-rational analysis: Understanding human cognition as the optimal use of limited computational resources" now fully published!

Congratulations! Behavioral and Brain Science Journal has fully published our article "Resource-rational analysis: Understanding human cognition as the optimal use of limited computational resources"!

Falk Lieder

Adrian Stock joined our lab

  • 16 March 2020

Welcome, Adrian!

Adrian is supporting the Rationality Enhancement Group as a student assistant. He will be working on the ACTrain-Project; which is a personalized companion for enhancing executive functions based on adaptive metacognitive feedback. Adrian will help develop the programming behind the scenes of the project.

Adrian Stock

Submission to SIG 8 Meets SIG 16 Conference in Dresden has been accepted!

  • 12 March 2020

Congratulations Victoria Amo on your successful conference submission!

Victoria's submission touches on her research on the growth mindset approach as being key for maintaining motivation and overcoming setbacks.

Victoria Amo Falk Lieder

Vincent Kadiri selected to join Lindau Nobel Laureate Meeting

  • 05 March 2020

Vincent Kadiri, PhD student in the Micro Nano and Molecular Systems Lab, has been selected by the Lindau Meeting to participate in the 2020 Meeting of Nobel Laureates, which will be held in June.

Vincent Mauricio Kadiri

Lisa Eckerstorfer joined our lab

  • 05 March 2020

Welcome, Lisa!

Lisa is a postdoctoral researcher for the Rationality Enhancement Group.

Lisa Eckerstorfer

Current Information about Coronavirus (COVID-19)

  • 28 February 2020

The institute management takes the rapid spread of the Coronavirus very seriously and has decided to adopt precautionary measures to protect all employees and guests of the institute.

Underwater Snail-o-Bot gets kick from light

  • 26 February 2020

Light-fueled liquid crystal gels used to create robot inspired by aquatic invertebrates

Researchers at the Max Planck Institute for Intelligent Systems in Stuttgart in cooperation with Tampere University in Finland developed a gel-like robot inspired by sea slugs and snails they are able to steer with light. Much like the soft body of these aquatic invertebrates, the bioinspired robot is able to deform easily inside water when exposed to this energy source. Due to specifically aligned molecules of liquid crystal gels – its building material – and illumination of specific parts of the robot, it is able to crawl, walk, jump, and swim inside water. The scientists see their research project as an inspiration for other roboticists who struggle to design untethered soft robots that are able to move freely in a fluidic environment. Such inventions could one day play a pivotal role in the research field of minimally-invasive robotic medical applications.

Hamed Shahsavan Amirreza Aghakhani Metin Sitti Yubing Guo Linda Behringer

European Commission Vice-President Vestager visits Cyber Valley

  • 20 February 2020

Scientists from the ecosystem are making a decisive contribution to the future of European AI

At a meeting with the European Commission’s Executive Vice-President Margrethe Vestager, Baden-Württemberg’s Minister-President Winfried Kretschmann, and the state’s Science Minister Theresia Bauer, scientists welcomed the European Commission’s new Digital Strategy and demanded strong support for research in the field of learning AI

Bernhard Schölkopf Valerie Callaghan

Bernhard Schölkopf receives Frontiers of Knowledge Award

  • 19 February 2020

The BBVA Foundation recognizes Schölkopf for his work that has advanced the field of artificial intelligence by teaching machines the human skill of classifying data

Bernhard Schölkopf