Edge AI, also known as Edge Computing, refers to the practice of processing data and running AI algorithms on devices at the edge of a network, rather than in a centralized location such as a data center or the cloud. This allows for faster decision-making and reduced latency, as well as reduced dependence on a network connection. Edge AI is often used in applications such as IoT devices, autonomous vehicles, and industrial automation.
Edge AI refers to the use of artificial intelligence (AI) technologies on devices and systems that are located at or near the “edge” of a network, rather than in a centralized data center or cloud. This allows for real-time processing of data and decision-making without the need for constant communication with a remote server.