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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2412.02527/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:27:26 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2412.02527/feed.xml" rel="self" type="application/rss+xml" /><item><title>The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data — HN submission</title><link>https://news.ycombinator.com/item?id=42314726</link><guid isPermaLink="false">urn:hackerpapers:submission:2412.02527:42314726</guid><pubDate>Wed, 04 Dec 2024 05:36:31 GMT</pubDate><description>&lt;p&gt;The Multimodal Universe: Enabling Large-Scale ML with 100TB of Astro Data&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2412.02527/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>astro-ph.IM</category></item></channel></rss>
