Edge AI is gaining momentum as a transformative approach that is deploying artificial intelligence capabilities closer to the source. By processing insights in real time at the network's edge, Edge AI powers faster decisions, eliminating latency and optimizing overall system responsiveness. Use Cases of Edge AI include a wide spectrum of domains,

As communication technologies rapidly advance, a new paradigm in artificial intelligence is emerging: Edge AI. This revolutionary concept involves deploying AI algorithms directly onto edge computing platforms at the network's periphery, bringing intelligence closer to the source. Unlike traditional cloud-based AI, which relies on centralized proce

The landscape in artificial intelligence has been rapidly evolving, with a notable shift towards edge computing. This paradigm offers significant advantages by processing data at the source, reducing latency and optimizing real-time decision-making. Edge AI solutions are increasingly accessible, democratizing the field by enabling organizations of