<?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>ゲノムAI on Negi AI Lab</title><link>https://ai.negi-lab.com/tags/%E3%82%B2%E3%83%8E%E3%83%A0ai/</link><description>Recent content in ゲノムAI on Negi AI Lab</description><image><title>Negi AI Lab</title><url>https://ai.negi-lab.com/images/og-default.png</url><link>https://ai.negi-lab.com/images/og-default.png</link></image><generator>Hugo -- 0.154.5</generator><language>ja</language><lastBuildDate>Mon, 28 Sep 2026 01:43:35 +0900</lastBuildDate><atom:link href="https://ai.negi-lab.com/tags/%E3%82%B2%E3%83%8E%E3%83%A0ai/index.xml" rel="self" type="application/rss+xml"/><item><title>ゲノムAIメーカーランキングの真実：解析コストを9割削減するNVIDIAとGoogleの独走態勢</title><link>https://ai.negi-lab.com/posts/ai-genomics-manufacturer-ranking-2024/</link><pubDate>Mon, 28 Sep 2026 00:00:00 +0900</pubDate><guid>https://ai.negi-lab.com/posts/ai-genomics-manufacturer-ranking-2024/</guid><description>ゲノム解析におけるAI活用は「計算速度の向上」から「疾患予測の精度向上」へフェーズが移行した。。NVIDIAのParabricksとGoogleのDeep...</description></item></channel></rss>