<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>磁半导体 on AI 实战派 · 从技术到赚钱</title><link>https://guijiagi.com/tags/%E7%A3%81%E5%8D%8A%E5%AF%BC%E4%BD%93/</link><description>Recent content in 磁半导体 on AI 实战派 · 从技术到赚钱</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Thu, 08 Oct 2026 08:54:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E7%A3%81%E5%8D%8A%E5%AF%BC%E4%BD%93/index.xml" rel="self" type="application/rss+xml"/><item><title>AI 智能体自己筛出室温磁半导体：材料发现开始「多快好省」</title><link>https://guijiagi.com/posts/2026-10-08-vals-ai-magnetic-semiconductor/</link><pubDate>Thu, 08 Oct 2026 08:54:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-08-vals-ai-magnetic-semiconductor/</guid><description>10 月 5 日消息，Vals.ai 团队用 AI 智能体设计并筛选磁性材料，找出两个候选——一个全新、一个要追溯到 1999 年。AI for Science 正在从预测结构走向主动发现材料。</description></item></channel></rss>