Using machine learning to estimate COVID-19's seasonal cycle

One of the many unanswered scientific questions about COVID-19 is whether it is seasonal like the flu—waning in warm summer months then resurging in the fall and winter. Now scientists at Lawrence Berkeley National Laboratory (Berkeley Lab) are launching a project to apply machine-learning methods to a plethora of health and environmental datasets, combined with high-resolution climate models and seasonal forecasts, to tease out the answer.

from News on Artificial Intelligence and Machine Learning https://ift.tt/3g5ibAB

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