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The landscape of artificial intelligence is rapidly evolving. Traditionally, AI resided in centralized data centers. 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's edge, edge AI empowe

The landscape of artificial intelligence transcending rapidly, driven by the emergence of edge computing. Traditionally, AI workloads relied on centralized data centers for processing power. However, this paradigm is changing as edge AI takes center stage. Edge AI encompasses deploying AI algorithms directly on devices at the network's frontier, en