Nordic Thingy:53 Platform Combines Dual Arm Cortex-M33 Processor and Embedded Machine Learning for Faster IoT Prototyping

Nordic Thingy:53 Platform Combines Dual Arm Cortex-M33 Processor and Embedded Machine Learning for Faster IoT Prototyping

The latest member of Nordic Semiconductor’s Thingy series, the Thingy 53, combines a flagship dual-core SoC, power management IC, PA/LNA range extender, and multiple sensors, along with embedded machine learning firmware, accelerating the realization of advanced wireless proofs-of-concept. Nordic Semiconductor has released the multi-sensor prototyping platform ‘Nordic Thingy:53’ (“Thingy:53”), which features multi-protocol short-range wireless connectivity … Read more

Implementing Voice Recognition with Syntiant TinyML and Edge Impulse

Implementing Voice Recognition with Syntiant TinyML and Edge Impulse

Project Description This project uses the microphone built into the Syntiant TinyML development board to build a machine learning model through Edge Impulse, allowing the LED light on the board to display different effects based on Chinese voice commands. A total of four labels of sound data were trained, as detailed below. Label Keyword Action … Read more

Using TinyML on Arduino to Scan Plant Leaves for Health

Using TinyML on Arduino to Scan Plant Leaves for Health

This article is from Arduino Project Hub Author: Arduino “having11” Guy Prerequisites Like humans, plants can also get sick; for instance, the leaves of a plant may turn yellow or develop spots due to fungi or other pathogens. Thus, by harnessing the power of machine learning, we can scan the colors and then use them … Read more

Edge Impulse Makes TinyML Accessible for Millions of Arduino Developers

Edge Impulse Makes TinyML Accessible for Millions of Arduino Developers

Posted by: ArduinoTEAM — May 26th, 2020 Running Machine Learning (ML) on microcontrollers is one of the most exciting developments in recent years, allowing small battery-powered devices to detect complex movements, recognize sounds, or find anomalies in sensor data. To make it accessible for every embedded developer to build and deploy these models, we have … Read more