Discussing TinyML and Its Main Frameworks and MCUs
1. Definition and Core Advantages of TinyML TinyML (Tiny Machine Learning) is a technology specifically designed for deploying lightweight machine learning models on embedded devices with extremely limited resources, such as microcontrollers and sensors. Its core goal is to achieve real-time intelligent inference under conditions of milliwatt-level power consumption, kilobyte-level memory, and very low cost … Read more
