Edge AI represents a paradigm shift in artificial intelligence (AI), moving processing power from centralized data centers to the very devices within the edge of the network. This distributed approach offers {aspectrum of benefits, including reduced latency, enhanced privacy, and optimized real-time analysis. By bringing AI algorithms to the edge,

As our world transitions increasingly interconnected, the demand for intelligent systems that can process data in real time and at scale continues to skyrocket. Traditional centralized AI models often face challenges owing to latency concerns and bandwidth limitations. This is where Edge AI emerges as a transformative solution. By implementing AI a