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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Inference with Artificial Neural Networks on Analog Neuromorphic Hardware · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2006.13177/</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/2006.13177/feed.xml" rel="self" type="application/rss+xml" /><item><title>Inference with Artificial Neural Networks on Analog Neuromorphic Hardware — mentioned by fulafel</title><link>https://news.ycombinator.com/item?id=38505438</link><guid isPermaLink="false">urn:hackerpapers:mention:2006.13177:38505438</guid><pubDate>Sun, 03 Dec 2023 07:10:39 GMT</pubDate><description>&lt;p&gt;Electronic analog computing is also still being researched, eg https://arxiv.org/abs/2006.13177 (&amp;quot;Analog multiplication is carried out in the synapse circuits, while the results are accumulated on the neurons&amp;#x27; membrane capacitors. Designed as an analog, in-memory computing device, it promises high energy efficiency&amp;quot;)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2006.13177/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.NE</category></item></channel></rss>
