Cyber Valley in the fight against COVID-19

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Fraunhofer IPA presents disinfection robot “DeKonBot”

15 July 2021 Press Release Stuttgart

New prototype of the mobile disinfection robot is an automation solution

In order to contain the spread of the coronavirus, the research institute in Stuttgart has developed the prototype of a mobile cleaning and disinfection robot in a short time. It navigates autonomously to potentially contaminated objects, such as door handles, and disinfects them thoroughly. The robot is gentle on resources and time-saving.

Fraunhofer Robotics COVID-19 Cyber Valley Health

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What is the impact of AI on education?

23 June 2021 Press Release University of Stuttgart

Jun.-Prof. Maria Wirzberger appointed member of the Commission Expert group on Artificial Intelligence and Data in education and training

On Monday, 21 June 2021, the European Commission notified successful applicants of the call for the Commission Expert group on Artificial Intelligence and Data in education and training. Among the selected members is Junior Professor Maria Wirzberger, head of the Department for Teaching and Learning with Intelligent Systems at the Institute of Educational Science and Faculty Member of Stuttgart Center for Simulation Science (SC SimTech) at the University of Stuttgart.

AI Artificial Intelligence Data Education Training European Commission COVID-19

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Teilnehmende für COVID-19 Studie gesucht

12 March 2021 Press Release Tübingen

Künstliche Intelligenz soll Früherkennung eines schweren Krankheitsverlaufs ermöglichen

Von symptomlos bis schwer erkrankt – COVID-19 Erkrankungen nehmen sehr unterschiedliche Verläufe. Alter und Vorerkrankungen gehören zu den bekannten Risikofaktoren, doch warum manche Personen schwer erkranken und andere noch nicht einmal merken, dass sie mit dem Virus infiziert sind, darüber ist nach wie vor wenig bekannt.

COVID-19 Max Planck Uniklinik Tübingen Studie Bernhard Schölkopf Maschinelles Lernen

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Artificial intelligence supports medical prognoses

16 February 2021 News

Using COVID-19 as an example, a machine learning method predicts patients' individual mortality risk

Estimating the risk of patients dying is arguably one of the most difficult and stressful challenges physicians face. This has been especially true in the midst of the global COVID-19 pandemic, with doctors around the world repeatedly confronted with difficult decisions. In the best of cases, they have been able to adjust treatments and save lives. In the worst case scenario, however, physicians have to allocate scarce beds and life-saving machines in intensive care units. An international team led by researchers at the Max Planck Institute for Intelligent System has now developed an algorithm and trained it with machine learning methods to help medical professionals with mortality predictions. The algorithm can also be trained to predict mortality risk for other diseases, and thus support physicians in decision-making processes.

Covews COVID-19 machine learning mortality risk predictions

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Bernhard Schölkopf im #ScienceTalk mit Theresia Bauer

11 September 2020 News Tübingen

Der Direktor des Max-Planck-Instituts für Intelligente Systeme und Mitbegründer der Cyber Valley-Initiative im Gespräch mit der Wissenschaftsministerin Baden-Württembergs zu Cyber Valley, künstliche Intelligenz und Gesundheit

Was kann künstliche Intelligenz im Kampf gegen COVID-19 und überhaupt im Gesundheitsbereich leisten? Wie gewinnen wir Spitzenwissenschaftlerinnen und Spitzenwissenschaftler und bringen – auch via Start-ups – Erkenntnisse schnell in die Praxis? Was macht die renommierte KI-Forschungskooperation Cyber Valley zum Erfolgsmodell und wie erreichen wir mehr internationale Vernetzung und eine eigene europäische Handschrift bei KI?

#ScienceTalk Maschinelles Lernen KI Künstliche Intelligenz Bernhard Schölkopf Theresia Bauer MWK COVID-19

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IAV Develops Intelligent Early Detection System for Corona

30 June 2020 Press Release Berlin

IAV, the engineering specialist from Berlin and Cyber Valley partner, has developed a concept that derives information about the spread of Covid-19 from the intelligent evaluation of publicly available data and results from the analysis of wastewater samples taken from the sewerage network. It is thus possible to pinpoint and detect sources of infection much faster and with greater precision. The next step consists in putting the concept to the test in a pilot project.

iav engineering Covid19 Corona Covid-19 pandemic

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Yoshua Bengio hält Max Planck Lecture 2020

23 June 2020 News

Der diesjährige Vortrag findet am 23. Juni online statt

Der weltweit führende Wissenschaftler auf dem Gebiet des Deep Learning wird erörtern, wie maschinelles Lernen in Kombination mit Kontaktverfolgung eingesetzt werden könnte, um die Verbreitung von COVID-19 einzudämmen.

Deep Learning COVID-19 contact tracing Yoshua Bengio machine learning Max Planck Lecture Health

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Der kybernetische Regelkreis im Kampf gegen COVID-19

18 May 2020 News Stuttgart

Forscherinnen und Forscher des Instituts für Systemtheorie und Regelungstechnik der Universität Stuttgart entwickeln ein Modell, mit dem sie die COVID-19 Epidemie in Deutschland unter der Anwendung von regelungstechnischen Methoden analysieren und Strategien für die Anordnung von Maßnahmen entwickeln. Die Cyber Valley Doktoranden und Professoren, die sich bisher Algorithmen widmeten, mit denen zum Beispiel autonom fahrende Autos sicher an ihr Ziel kommen, lösen damit das Problem, wie man heute Entscheidungen über Dinge trifft, deren Auswirkungen man nicht kennt und wo die Datenlage sehr ungenau ist. Ziel ist es, eine dynamische Handlungsstrategie zu entwerfen, mit der die Zahl der Infizierten minimiert werden kann, ohne übermäßige soziale und wirtschaftliche Kosten zu verursachen.

COVID-19 Frank Allgöwer Corona prädiktiver Algorithmus Institut für Systemtheorie und Regelungstechnik kybernetische Regelkreis IMPRS-IS International Max Planck Research School for Intelligent Systems autonomes Fahren Health

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Scientists in Tübingen develop 3D head model that can be used to design better-fitting protective gear

24 April 2020 Press Release

The FLAME model makes it possible to create realistic 3D head shapes capable of accurately mimicking human facial expressions. It could help designers come up with more comfortable protective masks for faces of different shapes and sizes.

FLAME Michael Black Tübingen COVID-19 Corona Maschinelles Sehen Computer Vision facemasks Health

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CoroNotes: New app supports medical research on COVID-19

17 April 2020 Press Release

CoroNotes is available on GooglePlay and will soon be released in the Apple App Store

Due to technical problems, Coronotes is not currently available

Scientists from the Tübingen Competence Center for Machine Learning and physicians from the University Hospital of Tübingen have developed an app that uses anonymous health data to contribute to a better understanding of the novel coronavirus.


CoroNotes COVID-19 App Corona RKI

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International team of scientists develops machine learning model that could help inform COVID-19 containment measures

17 April 2020 Press Release

Newly published paper presents research that could make an important contribution to discussions about policies to ease lock-down measures

In a paper released last week, researchers from two Max Planck Institutes, the Zerobase Foundation, ETH Zurich, and the École Polytechnique Fédérale de Lausanne present a new model that uses data from contact tracing technologies to make predictions about the spread of the virus


COVID-19 Health

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3D printers run hot in Cyber Valley: Rapid help for hospitals

15 April 2020 Press Release

Medical safety eyewear, disinfectant dispensers and ventilators from 3D printers - experts from the Fraunhofer Institute for Manufacturing Engineering and Automation IPA and the Max Planck Institute for Intelligent Systems are using their technological expertise in the fight against the coronavirus pandemic. Among other things, the Cyber Valley partners support the #MaskUpInitiative.

covid-19 Fraunhofer IPA Corona Krankenhaus Maskup 3D Druck Health

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Fraunhofer: “Access checker” remotely measures body temperature in addition to heart and breathing rate

15 April 2020 Press Release

An innovative measurement method is helping to detect people infected with coronavirus from a safe distance. It detects fever, increased pulse rates and fast breathing without endangering the person conducting the testing. Fraunhofer IPA and Fraunhofer IAO are currently testing the procedure at the Robert Bosch Hospital in Stuttgart.

covid-19 Fraunhofer Bosch Corona Krankenhaus Fiebermessen Health

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Bundeswettbewerb Künstliche Intelligenz startet in die nächste Runde

30 March 2020 Press Release

Die ideale Beschäftigung für Schüler*innen, die wegen der Corona-Pandemie zuhause bleiben müssen: Ab 30. März können Projektideen eingereicht werden. Zusätzlich bietet ein neuer Online-Kurs, der viele wichtige Werkzeuge der Künstlichen Intelligenz vermittelt, eine interessante Abwechslung für Schülerinnen und Schüler, die erst mal nicht wieder in die Schule dürfen.

Winfried Kretschmann BWKI Bundeswettbewerb Künstliche Intelligenz Covid-19 Cyber Valley Coding Schülerwettbewerb KI