A new machine learning model of the spread of coronavirus developed by MIT predicts that an immediate relaxation of quarantine measures will lead to “exponential explosion” of new infections.
As Tech Crunch reported, researchers at the university developed a model on the spread of coronavirus infections using a combination of publicly available data along with existing epidemiological equations about outbreaks and what the report called “neural network-based inference.” The model had been tuned back to use data from January to early March and correctly predicted the spread of coronavirus up until April 1, and looking forward it has a prediction of new rapid spread if restrictions are pared back.
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