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Empirical Inference News 17-02-2026 Bernhard Schölkopf elected for UN AI Scientific Panel MPI-IS Director one of 40 members of the newly established Independent International Scientific Panel on AI. Bernhard Schölkopf
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Empirical Inference News 09-10-2025 Siyuan Guo receives the MIT EECS Rising Star award Her research focuses on understanding learning and intelligence from first principles. Siyuan Guo
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Empirical Inference News 19-08-2025 Six new members elected to the Academy of Sciences and Literature | Mainz Bernhard Schölkopf was elected as a corresponding member.
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Empirical Inference News 15-07-2025 Zhijing Jin receives honorable mention for the Wilhelm Schickard Dissertation Award The Wilhelm Schickard Dissertation Award recognizes the most outstanding dissertation in the Department of Computer Science at the University of Tübingen, celebrating innovative and impactful research embodying Schickard’s spirit of intellectual curiosity and technological advancement. Zhijing Jin Bernhard Schölkopf
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Empirical Inference Award 11-07-2025 Zhijing Jin receives Honorable Mention for the Wilhelm Schickard Dissertation Award, University of Tübingen Zhijing Jin wrote her dissertation “Causality for Natural Language Processing” under the supervision of Prof. Dr. Bernhard Schölkopf. Zhijing Jin
Empirical Inference News 23-04-2025 Zhijing Jin Selected Young Researcher for the Heidelberg Laureate Forum 2025 Tübingen – Zhijing Jin, who is an incoming Assistant Professor at the University of Toronto starting in Fall 2025, and currently a postdoc in the Empirical Inference Department at the Max Planck Institute for Intelligent Systems in Tübingen, has been selected to attend the prestigious Heidelberg Laureate Forum 2025. The invitation comes a year after Zhijing attended the 73rd Lindau Nobel Laureate Meeting in June 2024. Zhijing Jin
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Empirical Inference News 06-03-2025 Neural network deciphers gravitational waves from merging neutron stars in a second Machine learning method could revolutionize multi-messenger astronomy Binary neutron star mergers emit gravitational waves followed by light. To fully exploit these observations and avoid missing key signals, speed is crucial. In a study to be published in Nature on March 5, 2025, an interdisciplinary team of researchers presents a novel machine learning method that can analyze gravitational waves emitted by neutron star collisions almost instantaneously – even before the merger is fully observed. A neural network processes the data and enables a fast search for visible light and other electromagnetic signals emitted during the collisions. This new method could be instrumental in preparing the field for the next generation of observatories. Maximilian Dax Bernhard Schölkopf Jakob Macke
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Empirical Inference News 01-01-2024 Zhijing Jin receives three Rising Star Awards Ph.D. student Zhijing Jin receives the EECS Rising Star, Rising Star in Data Science, and Rising Star in Machine Learning award. Her research focuses on socially responsible NLP by causal inference. Zhijing Jin Bernhard Schölkopf
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Learning and Dynamical Systems Embodied Vision Empirical Inference News 06-10-2023 Roboter entdecken die Welt Forschende vermitteln Robotern eine Art Körpergefühl Roboter können den Menschen heute bereits bei manchen alltäglichen Aufgaben unterstützen. Doch unbekannte Umgebungen oder auch kleine Abweichungen in den Aufgaben, auf die sie trainiert sind, überfordern sie. Damit sie rascher lernen, sich auf Neues einzustellen, entwickeln die Forschungsgruppen von Michael Mühlebach und Jörg Stückler am Max-Planck-Institut für Intelligente Systeme in Tübingen neue Trainingsmethoden für die Maschinen. Ihre Roboter müssen sich dabei auch im Pingpong oder Bodyflying bewähren. Michael Muehlebach Jörg Stückler Dieter Büchler Hao Ma
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Empirical Inference News 05-07-2023 Computer scientist Zeynep Akata Schulz receives the €1 million Alfried Krupp Prize 2023 The 37-year-old researcher specializes in machine learning at the University of Tübingen Zeynep Akata
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Empirical Inference News 03-05-2023 Bernhard Schölkopf receives the 2022 ACM - AAAI Allen Newell Award for his groundbreaking research in the field of artificial intelligence One of the world's most important prizes in the research field of AI goes for the first time to a scientist from the Max Planck Society, to Europe for the fourth time. Bernhard Schölkopf
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Empirical Inference News 27-04-2023 Casting a safety net: a reliable machine learning approach for analyzing coalescing black holes Self-checking algorithm interprets gravitational-wave data An interdisciplinary team from the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Gravitational Physics has developed an algorithm that immediately checks its own calculations of merging black holes’ properties and corrects its result if necessary – inexpensively and rapidly. The machine learning method provides very accurate information about the observed gravitational waves and will be ready for use when the global network of gravitational-wave detectors starts its next observing run in May. Maximilian Dax Jonas Wildberger Jakob Macke Bernhard Schölkopf
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Empirical Inference News 18-10-2022 Bundeswettbewerb Künstliche Intelligenz zeichnet Schülerteams aus Deutschlands KI-Nachwuchs begeisterte beim Finale des führenden Wettbewerbs rund um Künstliche Intelligenz. Ziel aller Teilnehmenden: Mithilfe von KI-Anwendungen die Welt verbessern Bernhard Schölkopf Wieland Brendel
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Empirical Inference News 02-05-2022 BLOG - Three Max-Planck Institutes join forces to develop a next generation contact tracing system A blog post by Heiner Kremer, Ph.D. student in the Empirical Inference Department at MPI-IS In a recent work published at Nature Scientific Reports, researchers from the Max-Planck Institutes for Intelligent Systems, Software Systems, and Security and Privacy as well as other institutions joined forces to devise PanCast, a novel privacy-preserving and inclusive system for epidemic risk assessment and notification. Heiner Kremer Bernhard Schölkopf
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