<?xml-stylesheet type="text/xsl" href="https://community.element14.com/cfs-file/__key/system/syndication/rss.xsl" media="screen"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:wfw="http://wellformedweb.org/CommentAPI/"><channel><title>TinyML combines machine and deep learning models on tiny hardware</title><link>/technologies/embedded/b/blog/posts/tinyml-combines-machine-and-deep-learning-models-on-tiny-hardware</link><description>The Arduino Nano 33 BLE Sense. (Image Credit: Arduino ) Developing machine learning (ML) algorithms for hardware involves complex mathematical models based on training data. Using this approach enabled it to make predictions without being program...</description><dc:language>en-US</dc:language><generator>Telligent Community 12</generator></channel></rss>