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Introduces Sparse-Reslim, a plug-in routing module that processes only 25% of spatial tokens through expensive transformer blocks for efficient weather prediction, achieving up to 3.18x speedup and improved forecast accuracy.
Otter Weather is a computationally efficient AI model for medium-range weather forecasting that outperforms numerical weather prediction baselines and frontier AI models while requiring significantly less training compute, aiming to democratize high-performance weather prediction.
Microsoft AI Frontiers introduces BenchPress, a method to predict benchmark scores without running the actual benchmarks, saving time and computation.