The landscape of artificial intelligence has undergone a dramatic transformation. Traditionally, AI resided in centralized data centers. This posed challenges for widespread adoption, as it demanded substantial computational resources. However, the emergence of edge AI solutions is shattering these constraints. By bringing AI processing closer to w

The landscape of artificial intelligence transcending rapidly, driven by the emergence of edge computing. Traditionally, AI workloads depended upon centralized data centers for processing power. However, this paradigm is evolving as edge AI gains prominence. Edge AI encompasses deploying AI algorithms directly on devices at the network's periphery,