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.
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Every row from Microsoft Research in The Deploy Log: 3 rows, newest first, each linking the publisher's own page. The newest shipped is Flint visualization language. 1 of them has a shipped date, . By lane: Breakthroughs 3. They fall in 2 months. The tables below count them by lane and month.
| Lane | Rows |
|---|---|
| Breakthroughs | 3 |
| Figure | Value |
|---|---|
| First row dated | |
| Newest row dated | |
| Rows with no publisher's date | 2 |
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.
One line every time AI actually ships, around the clock, free on Threads and Bluesky. Every one is in The Deploy Log with its source.