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Department News

Schlüsseltechnologie der digitalen Revolution

  • 28 January 2019

Wissenschaftspreis der Hector Stiftung geht an Prof. Dr. Bernhard Schölkopf

Prof. Dr. Bernhard Schölkopf erhält in diesem Jahr den mit 150.000 Euro dotierten Wissenschaftspreis der Hector Stiftung. Die Jury würdigt damit seine herausragenden Leistungen in der Grundlagenforschung zum maschinellen Lernen und der Künstlichen Intelligenz, die als Schlüsseltechnologien der digitalen Revolution gelten.

Bernhard Schölkopf


Helping to memorize information more efficiently using Artificial Intelligence

  • 23 January 2019

Scientists from the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Software Systems develop algorithms which optimize the well-known spaced repetition method used for memorizing educational material. By using optimal spacing time, the learning process becomes as efficient as possible. Their findings were published in the prestigious journal PNAS on Tuesday.

Behzad Tabibian Bernhard Schölkopf Manuel Gomez Rodriguez Linda Behringer


Bernhard Schölkopf erhält Landesforschungspreis 2018

  • 10 December 2018

Der Direktor der Abteilung für Empirische Inferenz am Max-Planck-Institut für Intelligente Systeme in Tübingen erhält den diesjährigen Landesforschungspreis Baden-Württemberg. Die Auszeichnung ist mit 100.000 Euro dotiert. Theresia Bauer, Ministerin für Wissenschaft, Forschung und Kunst, hat den Experten für Maschinelles Lernen im Rahmen eines Festakts in der Staatsgalerie Stuttgart geehrt.

Bernhard Schölkopf Linda Behringer


Bernhard Schölkopf at the Falling Walls Conference in Berlin

  • 09 November 2018

The International Conference on Future - Breakthroughs in Science and Society

Prof. Bernhard Schölkopf, Director of the department "Empirical Inference", is talking about Artificial Intelligence. Friday, November 9, 4:45 p.m, Berlin, Radialsystem V, Holzmarktstraße 33.

Bernhard Schölkopf


PhD Fellowships at the Cambridge-Tübingen Machine Learning Program

  • 13 September 2018

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).

Barbara Kreilkamp


Machine Learning Frontiers in Precision Medicine

  • 05 June 2018

Dept. Empirical Inference is part of this new scientific network

The Marie Curie Innovative Training Network "Machine Learning Frontiers in Precision Medicine" is funded by the European Commission with 3.6 Mio € for four years (2019-2022). It is coordinated by Professor Karsten Borgwardt from the Machine Learning and Computational Biology Lab of ETH Zurich.

Bernhard Schölkopf


Initiative to establish a European Lab for Learning & Intelligent Systems

  • 24 April 2018

Warning about the competition from the USA and China - appeal to politics

Bernhard Schölkopf Linda Behringer


Award Ceremony of 2018 Leibniz Prize

  • 19 March 2018

Bernhard Schölkopf receives one of the Leibniz Prizes in Berlin - short video about his and his team´s research on machine learning (in German)

"I am very pleased about the Leibniz Prize", says Director Bernhard Schölkopf. "I see it as an award for all my employees and for the research field of machine learning, and it should benefit both in the future. We are only at the beginning, and want to investigate further how computers and living beings can learn to better understand the organizational principles of intelligent behavior."

Bernhard Schölkopf


Süddeutsche Zeitung publiziert Meinungsbeitrag von Bernhard Schölkopf

  • 16 March 2018

Der Direktor der Abteilung für Empirische Inferenz veröffentlicht einen Gastbeitrag über Künstliche Intelligenz auf Seite 2 der Süddeutschen Zeitung. Thema ist die Kybernetische Revolution und dass Europa dafür die besten Köpfe braucht.

Bernhard Schölkopf Linda Behringer Claudia Daefler


The Question is Why

  • 19 December 2017

Algorithms learn a Sense of Fairness

Only if Artificial Intelligence interprets and applies fairness in the same way as humans do, will society accept it. That is why scientists from the Max Planck Institute for Intelligent Systems in Tübingen look at the causal reasoning behind data – because it matters how data comes about. Only when self-learning machines satisfy our ethical and legal requirements will the public accept them as just and fair.

Niki Kilbertus Linda Behringer