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

As our world becomes 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 due to latency concerns and bandwidth limitations. This is where Edge AI emerges as a transformative solution. By deploying AI algorithms