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The landscape of artificial intelligence has undergone a dramatic transformation. Traditionally, AI was confined to powerful cloud servers. This created hurdles for widespread adoption, as it demanded substantial computational resources. However, the emergence of edge AI solutions is disrupting the paradigm. By bringing AI processing at the network

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 refers to deploying AI algorithms directly on devices at the network's periphery, e