Climate science researchers increasingly are turning to the cloud for its ability to manage large amounts of data using machine-learning algorithms.
In response, major cloud providers are offering subscription-based remote storage and online tools, which can be more affordable for researchers than maintaining their own hardware.
Said Amazon.com Inc.'s Werner Vogels, "The datasets are getting larger and larger. So machine learning starts to play a more important role to look for patterns in the data."
Microsoft's AI for Earth program offers grants and technical help from its Azure cloud division for environmental projects, and Amazon SageMaker offers a fast and less technically complex way for software developers in any industry to build, train, and use machine-learning models.
From The Wall Street Journal
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