AI 精选动态
智能评分 60
ThousandsWorlds 数据集发布
AI 推荐理由
可用于评估和训练系外行星大气检测模型，值得关注后续基准结果。核心解读
Oxford/Cambridge++ 的研究团队发布了 ThousandsWorlds 数据集，该基准包含 1760 场模拟，覆盖 5 种全球气候模型、8 种行星参数和在 32×64×10 的纬度‑经度‑气压网格上的大气变量；数据集提供三套嵌套基准子集、两种评估协议以及八个基线方法，旨在帮助检测类地系外行星大气中的潜在生命迹象。
全文
Thomas Wolf (@Thom_Wolf) 转发了 Georgia Channing (@cgeorgiaw) 的帖子：
The AI hunt for alien life has just begun.
Welcome to ThousandsWorlds, a wild new dataset from researchers at Oxford/Cambridge++, for detecting faint signatures in the atmospheres of potentially habitable exoplanets.
This is the first step towards finding life beyond earth. The plan is basically:
1) scan the galaxy for as many potentially habitable planets as possible
2) detect the gases in their atmospheres with powerful telescopes like JWST
3) infer from these gases whether life is present or not.
ThousandWorlds is a benchmark for emulating these exoplanet climates: 1760 simulations across 5 GCMs, 8 planet parameters, and atmospheric variables on a 32 x 64 x 10 latitude-longitude-pressure grid. It includes three nested benchmark subsets, two evaluation protocols, and eight released baseline methods.
incredible work from @MilesCranmer and many more 👽👽👽
https://video.twimg.com/amplify_video/2069436882602323968/vid/avc1/2880x2880/O58KCauYVvsw9AaV.mp4?tag=28