The rise of smart devices has created a massive surge in data generation. Traditionally, this data would be shipped to cloud servers for processing, but this approach faces drawbacks like latency, bandwidth constraints, and privacy concerns. Enter Distributed AI, a paradigm that brings AI capabilities directly to the device. This means analyzing da

As our world transitions 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 because to latency concerns and bandwidth limitations. This is where Edge AI emerges as a transformative solution. By implementing AI