TinyML, or Tiny Machine Learning, is a rapidly evolving branch of machine learning that focuses on deploying ML models on edge devices with extremely limited resources. It brings the power of artificial intelligence (AI) to microcontrollers and other constrained environments, making it possible for machine learning algorithms to function on low-power, low-memory, and cost-effective hardware. … Continue reading TinyML: Machine Learning Python