The landscape of artificial intelligence (AI) is undergoing a dramatic transformation with the emergence of Edge AI. Moving intelligence from centralized data centers to the very edge of networks, where devices and users interact, is revolutionizing how we develop and deploy intelligent Low power Microcontrollers applications. This paradigm shift u

The environment of Artificial Intelligence has been steadily evolving, with a significant focus on edge computing. This approach brings computation and data processing closer to the point of data generation, enabling real-time insights. Edge AI tackles challenges associated with latency, bandwidth constraints, and privacy. By implementing AI models