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April 16, 2020 02:03 pm GMT

New MIT machine learning model shows relaxing quarantine rules will spike COVID-19 cases

MIT has developed a new model of the spread of COVID-19 infection, based on publicly available data, combined with established epidemiological equations about outbreaks, and neural network-based inference. The model, described in a new report, proves accurate when trained on data spanning late January to early March in terms of anticipating the actual spread leading […]

Original Link: http://feedproxy.google.com/~r/Techcrunch/~3/vPUwxBeRGlo/

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