The rise of smart devices has created a substantial surge in data generation. Traditionally, this data would be transmitted to remote servers for processing, but this approach faces drawbacks like latency, bandwidth constraints, and privacy concerns. Enter Distributed AI, a methodology that brings AI capabilities directly to the edge. This means un

As our world becomes increasingly interconnected, the demand for intelligent systems that can process data in real time and at scale continues to escalate. 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 implementing AI algorith