As connectivity advance and terminals proliferate, the demand for instantaneous intelligence at the edge is skyrocketing. This movement is fueled by the need to process vast streams of data locally, reducing latency and enabling autonomous decision-making. By implementing advanced systems on edge platforms, we can tap into new opportunities across

The landscape of artificial intelligence evolving rapidly, 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 refers to deploying AI algorithms directly on devices at the network's peri