MIT researchers develop a training method for faster climate emulators
AIMIT researchers have developed a training technique that boosts the performance and adaptability of climate emulators while using only a fraction of the usual data. The method uses a small set of optimized synthetic emission scenarios instead of several full earth system model runs.
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MIT News · AI · Adam Zewe | MIT News · news.mit.eduPublished · added here
Original title: New research could lead to faster, trustworthy AI models for climate prediction