The rise of instrumented devices has created a massive surge in data generation. Traditionally, this data would be shipped to cloud servers for computation, but this approach faces challenges like latency, bandwidth constraints, and privacy concerns. Enter Distributed AI, a paradigm that brings machine learning capabilities directly to the device.

The realm of Artificial Intelligence (AI) is rapidly transforming, with Edge AI emerging as a groundbreaking force. This paradigm shift allows processing power to be distributed at the edge of the network, providing unprecedented advantages. From intelligent devices Low power Microcontrollers to rapid data analysis, Edge AI is redefining various in