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In Nature this week, our new research shows how machine learning can improve weather forecasts two to six weeks out, a timeframe that’s historically been very difficult to predict. [Read more]

New research published in Nature this week shows that machine learning can improve weather forecasts two to six weeks out, a timeframe historically difficult to predict, according to a LinkedIn post by Microsoft CEO Satya Nadella. Nadella wrote that the work could help prepare for extreme weather, manage natural resources and inform agricultural decisions, and drew a broader lesson that the future may depend less on ever-more-capable models than on "building intelligent verification systems around them" that learn where models are systematically wrong, reason about cause and effect, and continuously calibrate predictions against reality.

by read1 min views10 publishedOct 17, 2026
In Nature this week, our new research shows how machine learning can improve weather forecasts two to six weeks out, a timeframe that’s historically been very difficult to predict. [Read more]
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In Nature this week, our new research shows how machine learning can improve weather forecasts two to six weeks out, a timeframe that's historically been very difficult to predict. It's exciting to see the potential of this work to help us better prepare for extreme weather, manage natural resources, and make more informed decisions in agriculture. Theres a broader lesson here... the future may not just be about ever-more-capable models, but about building intelligent verification systems around them: systems that learn where models are systematically wrong, reason about cause and effect, and continuously calibrate predictions against reality.

Read more: https://lnkd.in/gr_vBHtf See more comments

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