Edge AI

Edge AI refers to the deployment of artificial intelligence models directly on devices and machines rather than relying solely on centralized cloud infrastructure. This approach enables real-time decision-making, reduced latency, improved reliability, and greater data privacy for robotics and automated systems. The topic covers edge processors, embedded AI platforms, model optimization, and the trade-offs between edge and cloud computing. It also explores use cases in robotics, industrial automation, smart devices, and autonomous systems operating in bandwidth- or connectivity-constrained environments. As AI moves closer to the physical world, Edge AI plays a critical role in enabling responsive and scalable intelligent systems.