The rise of instrumented devices has created a massive surge in data generation. Traditionally, this data would be transmitted to cloud servers for computation, but this approach faces drawbacks like latency, bandwidth constraints, and privacy concerns. Enter Distributed AI, a framework that brings AI capabilities directly to the edge. This means u

As our world evolves increasingly interconnected, the demand for intelligent systems that can process data in real time and at scale continues to soar. 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 integrating AI algorithms di