Edge AI

Edge AI refers to the practice of processing artificial intelligence algorithms directly on a local hardware device, or "at the edge" of the network, rather than sending the data to a centralized cloud server for computation. This paradigm shift involves deploying trained AI models directly onto endpoint devices such as sensors, cameras, smartphones, or industrial machinery, enabling them to make real-time decisions and execute tasks autonomously without constant reliance on cloud connectivity. The AI model, once trained, is compressed and optimized to run efficiently on the limited computational resources available on the edge device.