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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Single-chip photonic deep neural network for instantaneous image classification · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2106.11747/</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/2106.11747/feed.xml" rel="self" type="application/rss+xml" /><item><title>Single-chip photonic deep neural network for instantaneous image classification — mentioned by gwern</title><link>https://news.ycombinator.com/item?id=39353839</link><guid isPermaLink="false">urn:hackerpapers:mention:2106.11747:39353839</guid><pubDate>Tue, 13 Feb 2024 03:09:49 GMT</pubDate><description>&lt;p&gt;You can do a lot. &amp;#x27;Digital sundials&amp;#x27; come to mind: https://en.wikipedia.org/wiki/Digital_sundial https://gwern.net/doc/math/1991-stewart.pdf But yes, you are restricted to linear things and you can&amp;#x27;t make a good photonic cat detector out of that easily. So all the photonic neural networks you may have heard of like https://arxiv.org/abs/2106.11747 wind up sticking some mechanical or electrical nonlinearity somewhere.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2106.11747/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.ET</category></item><item><title>Single-chip photonic deep neural network for instantaneous image classification — mentioned by XnoiVeX</title><link>https://news.ycombinator.com/item?id=31655880</link><guid isPermaLink="false">urn:hackerpapers:mention:2106.11747:31655880</guid><pubDate>Tue, 07 Jun 2022 15:35:13 GMT</pubDate><description>&lt;p&gt;Isnt this a year old? https://arxiv.org/abs/2106.11747&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2106.11747/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.ET</category></item></channel></rss>
