The rise of instrumented devices has created a substantial surge in data generation. Traditionally, this data would be transmitted to cloud servers for processing, but this approach faces challenges like latency, bandwidth constraints, and privacy concerns. Enter Edge AI, a framework that brings AI capabilities directly to the edge. This means unde

Edge AI is emerging as the realm of intelligent devices. By deploying machine learning directly on edge devices, such as smartphones, sensors, we can achieve real-timeprocessing and reduce latency. This distributed approach offers numerous advantages, including improved performance. Edge AI empowers devices to make autonomous decisions to environme