<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Google Research on AI 早报</title><link>https://ai-news.example.com/tags/google-research/</link><description>Recent content in Google Research on AI 早报</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Sat, 04 Jul 2026 06:39:25 +0800</lastBuildDate><atom:link href="https://ai-news.example.com/tags/google-research/feed.xml" rel="self" type="application/rss+xml"/><item><title>[EN] Google推出ScreenAI：端到端视觉语言模型，统一理解UI界面与信息图表</title><link>https://ai-news.example.com/articles/en-googlescreenaiui/</link><pubDate>Sat, 04 Jul 2026 06:39:25 +0800</pubDate><guid>https://ai-news.example.com/articles/en-googlescreenaiui/</guid><description>Google Research发布ScreenAI，一种基于PaLI架构并融合pix2struct灵活分块策略的5B参数视觉语言模型，专为理解用户界面与信息图表设计。通过自监督预训练和屏幕标注任务，ScreenAI在WebSRC、MoTIF、ChartQA等多项基准测试中达到或超越同规模模型的最优性能，同时发布了三个新数据集。</description></item><item><title>[EN] 生成式AI量化天气预报不确定性：Google推出SEEDS模型</title><link>https://ai-news.example.com/articles/en-aigoogleseeds/</link><pubDate>Sat, 04 Jul 2026 06:39:14 +0800</pubDate><guid>https://ai-news.example.com/articles/en-aigoogleseeds/</guid><description>Google Research发布基于扩散概率模型的生成式AI技术SEEDS，能以极低计算成本大规模生成天气预报集合，量化传统方法难以捕捉的极端天气不确定性，性能媲美甚至超越物理模型。</description></item></channel></rss>