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The landscape of artificial intelligence is rapidly evolving. Traditionally, AI operated within large-scale infrastructure. This posed challenges for widespread adoption, as it required significant technical expertise. However, the emergence of edge AI solutions is disrupting the paradigm. By bringing AI processing at the network's edge, edge AI em

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 emerges as a key player. Edge AI refers to deploying AI algorithms directly on devices at the network's perip