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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Encoding Data for HTM Systems · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1602.05925/</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/1602.05925/feed.xml" rel="self" type="application/rss+xml" /><item><title>Encoding Data for HTM Systems — mentioned by 19h</title><link>https://news.ycombinator.com/item?id=33461761</link><guid isPermaLink="false">urn:hackerpapers:mention:1602.05925:33461761</guid><pubDate>Fri, 04 Nov 2022 03:30:52 GMT</pubDate><description>&lt;p&gt;We&amp;#x27;ve been doing significant research using HTM[1][2][3][4] w/ SDR[5] similar to the proprietary implementation of Semantic Folding[6] and were able to classify literally gigabytes of documents per second on FPGAs. HTM aims to resemble the architecture of the Neocortex. I simply don&amp;#x27;t understand why literally everyone immediately jumps at CNNs, RNNs (transformers et al.) -- they&amp;#x27;re extremely expensive, slow and definitely not usable for SIGINT-sized intel projects. [1] https://arxiv.org/pdf/2112.14820.pdf [2] https://arxiv.org/pdf/1402.2902.pdf [3] https://arxiv.org/pdf/1509.08255.pdf [4]…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1602.05925/"&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>
