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NASA and IBM launched a foundation AI model for lunar science to support moon research and mission decision-making, indicating the specialization of large-model technology for space-science applications.
IBM released Granite Time Series PatchTST-FM-r2 (~385M parameters) with an updated architecture, larger pretraining corpus, probabilistic forecasting and imputation; it ranks top among permissively licensed zero-shot replicable models on GIFT‑Eval (and #2 overall), and its weights and code are open under Apache 2.0/OpenMDW 1.0.
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