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This pocket-sized uses tinyML to analyze a COVID-19 patient’s health conditions

Reading Time: 2 minutes This pocket-sized uses tinyML to analyze a COVID-19 patient’s health conditions Arduino Team — June 21st, 2021 In light of the ongoing COVID-19 pandemic, being able to quickly determine a person’s current health status is very important. This is why Manivannan S wanted to build his very own COVID Patient Health Assessment Device that could take several data points […]

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Edge Impulse and TinyML on Raspberry Pi

Reading Time: 8 minutes Raspberry Pi is probably the most affordable way to get started with embedded machine learning. The inferencing performance we see with Raspberry Pi 4 is comparable to or better than some of the new accelerator hardware, but your overall hardware cost is just that much lower. Raspberry Pi 4 Model B However, training custom models on […]

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Edge Impulse makes TinyML available to millions of Arduino developers

Reading Time: 4 minutes This post is written by Jan Jongboom and Dominic Pajak. Running machine learning (ML) on microcontrollers is one of the most exciting developments of the past years, allowing small battery-powered devices to detect complex motions, recognize sounds, or find anomalies in sensor data. To make building and deploying these models accessible to every embedded developer […]