<?xml-stylesheet type="text/xsl" href="https://devzone.nordicsemi.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>Audio Recognition using Edge Impulse Machine Learning on the nRF52840 DK</title><link>/nordic/nordic-blog/b/blog/posts/audio-recognition-using-edge-impulse-machine-learning-on-the-nrf52840-dk</link><description>Introduction
Machine Learning in the wireless edge-device space leverages the processing power of the local microprocessor to minimize the amount of data being transmitted. Since radio transmissions are high current events, this lowers the overall po</description><dc:language>en-US</dc:language><generator>Telligent Community 13</generator></channel></rss>