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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mapping the Landscape of Artificial Intelligence Applications against COVID-19 · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2003.11336/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2003.11336/feed.xml" rel="self" type="application/rss+xml" /><item><title>Mapping the Landscape of Artificial Intelligence Applications against COVID-19 — mentioned by junipertea</title><link>https://news.ycombinator.com/item?id=22792973</link><guid isPermaLink="false">urn:hackerpapers:mention:2003.11336:22792973</guid><pubDate>Mon, 06 Apr 2020 12:08:32 GMT</pubDate><description>&lt;p&gt;Google made a report using geospatial data and tracking of GPS and even anonymized it. https://www.google.com/covid19/mobility/ There is extensive research in using data and statistical modeling (&amp;quot;AI&amp;quot;) to help with the coronavirus efforts and there has been a ton of work invested. [1] You have to note covid-19 has been affecting western countries since february and it&amp;#x27;s april now. Not that much you can manage in 2 months. We probably could have and should have done more when we saw the situation in november, but that is a different topic. [1] https://arxiv.org/pdf/2003.11336.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2003.11336/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item></channel></rss>
