<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Architecture on Neumo</title><link>https://neumoneumo.github.io/blog/tags/architecture/</link><description>Recent content in Architecture on Neumo</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Sat, 07 Dec 2024 16:14:06 +0800</lastBuildDate><atom:link href="https://neumoneumo.github.io/blog/tags/architecture/index.xml" rel="self" type="application/rss+xml"/><item><title>Working Memory in Neural Networks</title><link>https://neumoneumo.github.io/blog/posts/memory/</link><pubDate>Sat, 07 Dec 2024 16:14:06 +0800</pubDate><guid>https://neumoneumo.github.io/blog/posts/memory/</guid><description>&lt;p&gt;Classified by their duration, there are at least three kinds of memory in
humans: Working Memory(WM), Short-Term Memory(STM), and Long-Term Memory(LTM).&lt;/p&gt;
&lt;p&gt;WM can be seen as the internal state of the system that varies across the entire
process. STM can be considered the memory for a milestone or key objects in a
multi-stage task. And finally, LTM can be conceived as the neural network
itself. Persistent knowledge is embedded in architecture.&lt;/p&gt;</description></item></channel></rss>