The landscape of artificial intelligence continues to shift at an unprecedented pace. 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 redefining the boundaries. By bringing AI processing at the netw

The landscape of artificial intelligence evolving rapidly, TinyML applications driven by the emergence of edge computing. Traditionally, AI workloads relied on centralized data centers for processing power. However, this paradigm undergoing a transformation as edge AI gains prominence. Edge AI encompasses deploying AI algorithms directly on devices