Skala 1.1
Skala 1.1, trained on 2.5x more data than its predecessor, achieves a weighted average error of 2.8 kcal/mol on GMTKN55 and is now available in CP2K with integrations underway for Psi4, FHI-aims, ORCA, and VASP.
Every deployment from Microsoft Research in The Deploy Log, 3 rows, newest first.
Skala 1.1, trained on 2.5x more data than its predecessor, achieves a weighted average error of 2.8 kcal/mol on GMTKN55 and is now available in CP2K with integrations underway for Psi4, FHI-aims, ORCA, and VASP.
Aurora 1.5 adds 22 new weather variables, hourly temporal resolution, and probabilistic ensemble forecasting, outperforming ECMWF ENS on 88.9% of evaluated variable-and-lead-time targets.
Flint is a visualization intermediate language that compiles compact specs into polished charts across Vega-Lite, Apache ECharts, and Chart.js, with higher LLM-judge scores than DirectVL across three models.
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