<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>概率预报 on AI 早报</title><link>https://ai-news.example.com/tags/%E6%A6%82%E7%8E%87%E9%A2%84%E6%8A%A5/</link><description>Recent content in 概率预报 on AI 早报</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Fri, 10 Jul 2026 23:09:15 +0800</lastBuildDate><atom:link href="https://ai-news.example.com/tags/%E6%A6%82%E7%8E%87%E9%A2%84%E6%8A%A5/feed.xml" rel="self" type="application/rss+xml"/><item><title>[EN]谷歌发布生成式AI模型SEEDS，量化天气预报不确定性</title><link>https://ai-news.example.com/articles/enaiseeds/</link><pubDate>Fri, 10 Jul 2026 23:09:15 +0800</pubDate><guid>https://ai-news.example.com/articles/enaiseeds/</guid><description>谷歌推出新型生成式AI模型Scalable Ensemble Envelope Diffusion Sampler (SEEDS)，能够以传统物理模型极小成本高效生成大规模天气预报集合，量化预测不确定性，为极端天气事件预测提供更精准的概率支持。</description></item><item><title>[EN] 生成式AI量化天气预报不确定性：Google发布SEEDS模型</title><link>https://ai-news.example.com/articles/en-aigoogleseeds/</link><pubDate>Mon, 06 Jul 2026 23:16:55 +0800</pubDate><guid>https://ai-news.example.com/articles/en-aigoogleseeds/</guid><description>Google Research推出基于扩散概率模型的生成式AI技术SEEDS，能以极低成本生成大规模天气预报集合，准确量化极端天气概率，突破传统物理模型的计算瓶颈。</description></item></channel></rss>