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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hardware Beyond Backpropagation: a Photonic Co-Processor for Direct Feedback Alignment · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2012.06373/</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/2012.06373/feed.xml" rel="self" type="application/rss+xml" /><item><title>Hardware Beyond Backpropagation: a Photonic Co-Processor for Direct Feedback Alignment — mentioned by nuitblanche</title><link>https://news.ycombinator.com/item?id=27800230</link><guid isPermaLink="false">urn:hackerpapers:mention:2012.06373:27800230</guid><pubDate>Sun, 11 Jul 2021 12:19:36 GMT</pubDate><description>&lt;p&gt;Hi, I am Igor Carron, the CEO of the company. Our technology is different than the one used by Lightmatter and Lightelligence. We currently do not do integrated photonics. We are starting from the ground up by first building a photonic co-processor that does one function (to be extended) of general interest to AI. the current function is a random projection. We believe that it will be complexified over time as we grow. But our particular focus is on those computations that are difficult to perform in electronics. In particular, our recent focus has been on Transformers/Large Language Models…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2012.06373/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
