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International team of scientists develops machine learning model that could help inform COVID-19 containment measures
Diese Abbildung zeigt die kumulative Anzahl der Personen, die in der Simulation (ohne Lockdown-Maßnahmen) und die, die tatsächlich (mit Lockdown-Maßnahmen) positiv auf COVID-19 getestet wurden.

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

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

  • 17 April 2020

In a paper released today, 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


Machine Learning COVID-19

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ei Bernhard Schölkopf
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