The realm of artificial intelligence is experiencing Low power Microcontrollers a seismic shift, with an innovative approach emerging at the leading boundary: Edge AI. This asynchronous paradigm displaces intelligence from centralized data centers to the very margins of networks, bringing computational power closer to where data is generated.

Edge AI represents a paradigm shift in artificial intelligence, relocating computation and intelligence to the devices. This innovative approach enables real-time decision-making at the source of data generation, offering substantial advantages over traditional cloud-based AI systems. By processing data locally, Edge AI reduces latency and bandwidt

The landscape of artificial intelligence transcending rapidly, driven by the emergence of edge computing. Traditionally, AI workloads leveraged centralized data centers for processing power. However, this paradigm is evolving as edge AI emerges as a key player. Edge AI encompasses deploying AI algorithms directly on devices at the network's periphe