••Use machine learning to create a predictive maintenance device. This project shows you a fully developed fan condition monitoring project using the 8-bit AVR-DA and SensiML. It includes a dataset, pre-trained model, and firmware source code. Fan conditioning monitoring with the AVR Curiosity Nano - Hackster.io: https://mchp.us/3CMmwCP In this step-by-step tutorial, https://mchp.us/34Knhl3, we will guide you through the process of building a machine learning model with SensiML for the AVR Curiosity Nano. In this example, we will develop a classification model that can indicate the operational state of a fan including whether the fan is on, the speed setting, and whether the fan is experiencing a fault condition (tapping, shaking, or unknown). Go to the developer tutorial: https://mchp.us/34Knhl3 Get information on our AVR DA family of products: https://mchp.us/36qJPb6 Plus... Add Artificial Intelligence (AI) and Machine Learning (ML) to your next design: • Learn how to reduce risk, time to market, power consumption and application costs • Get started with a 32-bit MCU or FPGA • Download software • Buy a development board • Explore our tutorials, example applications and other information • Access demos and video tutorials • Download a whitepaper • Connect with our AI/ML learning partners All of this and more can be found here: https://www.microchip.com/en-us/solutions/machine-learning