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MIT researchers developed a technique to create faster, trustworthy AI climate emulators by using optimized synthetic data instead of running full earth system models six to eight times. This method reduces production time from months or years to seconds, allowing scientists to test thousands of varied climate scenarios efficiently for policy decisions.
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