The rise of instrumented devices has created a substantial surge in data generation. Traditionally, this data would be shipped to centralized servers for processing, but this approach faces challenges like latency, bandwidth constraints, and privacy concerns. Enter Distributed AI, a paradigm that brings machine learning capabilities directly to the… Read More

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