<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>TinyML on Simon Gorbet</title><link>https://simongorbet.com/tags/tinyml/</link><description>Recent content in TinyML on Simon Gorbet</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>simon@gorbet.com (Simon Gorbet)</managingEditor><webMaster>simon@gorbet.com (Simon Gorbet)</webMaster><copyright>© 2026 Simon Gorbet</copyright><lastBuildDate>Mon, 15 Dec 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://simongorbet.com/tags/tinyml/index.xml" rel="self" type="application/rss+xml"/><item><title>TinyML Exploration: IMU Based Gesture Recognition</title><link>https://simongorbet.com/projects/tinyml_exploration/</link><pubDate>Mon, 15 Dec 2025 00:00:00 +0000</pubDate><author>simon@gorbet.com (Simon Gorbet)</author><guid>https://simongorbet.com/projects/tinyml_exploration/</guid><description>Can an ML newbie use an open pipeline to create models that match (or beat) NanoEdgeAI on real hardware accuracy, latency, and memory while staying reproducible and inspectable?</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://simongorbet.com/projects/tinyml_exploration/featured.png"/></item></channel></rss>