The rise of instrumented devices has created a significant surge in data generation. Traditionally, this data would be transmitted to remote servers for computation, but this approach faces drawbacks like latency, bandwidth constraints, and privacy concerns. Enter Distributed AI, a methodology that brings machine learning capabilities directly to t… Read More

The realm of artificial intelligence continues at an accelerated pace, and edge computing has emerged as a pivotal component in this transformation. By implementing AI models directly on endpoints at the network's edge, organizations can realize significant advantages. Edge AI solutions enable near real-time data processing, reducing latency here a… Read More