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    Machine learning system is said to predict likely space-weather damage 30–60 minutes before a storm arrives

    Microsoft Research says the new system can predict where damage is likely to occur before a storm arrives. Extreme space weather can damage power systems on Earth and degrade GPS accuracy and satellite operations.

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    TLDR

    Microsoft Research says a new machine learning system can predict where damage from extreme space weather is likely to occur 30–60 minutes before a storm arrives. Such events can damage power systems on Earth and degrade GPS accuracy and satellite operations.

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    Combined views

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    2 Sources, first seen 12h ago

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    2 Sources

    @MSFTResearchExtreme space-weather events can damage power systems on Earth and degrade GPS accuracy and satellite operations. A new machine learning system can predict where damage is likely to occur 30-60 minutes before a storm arrives: https://msft.it/6019aYXwh
    @LesterMackeyRT @MSFTResearch: Extreme space-weather events can damage power systems on Earth and degrade GPS accuracy and satellite operations. A new m…

    2 Sources

    @MSFTResearchExtreme space-weather events can damage power systems on Earth and degrade GPS accuracy and satellite operations. A new machine learning system can predict where damage is likely to occur 30-60 minutes before a storm arrives: https://msft.it/6019aYXwh
    @LesterMackeyRT @MSFTResearch: Extreme space-weather events can damage power systems on Earth and degrade GPS accuracy and satellite operations. A new m…