The rise of instrumented devices has created a massive surge in data generation. Traditionally, this data would be sent to cloud servers for analysis, but this approach faces limitations like latency, bandwidth constraints, and privacy concerns. Enter Edge Artificial Intelligence, a methodology that brings machine learning capabilities directly to … Read More

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