Edge artificial intelligence (AI) starts with edge computing. Also called edge processing, edge computing is a network technology that positions servers locally near devices. This helps to reduce system processing load and resolve data transmission delays. These processes are performed at the location where the sensor or device generates the data, also called the edge. Developments in edge computing mean that edge AI is becoming more important.

Since the last decade, it is becoming increasingly clear that Artificial Intelligence is going to be the central technology around which all other advanced technologies will revolve and co-exist. Artificial Intelligence, in simplest terms, refers to'smart' machines or'intelligent' systems which perform tasks that are usually associated with human intelligence and reasoning. Artificial Intelligence (AI), in order to maximize its utility, has been paired with robotics, machine learning, Internet of Things (IoT), and many such technologies. Edge AI computing is one such example of integration of two technologies. As said earlier, edge AI is the combination of two technologies, viz., Edge computing and Artificial Intelligence.

Edge AI starts with edge computing. Also called edge processing, edge computing is a network technology that positions servers locally near devices. This helps to reduce system processing load and resolve data transmission delays. These processes are performed at the location where the sensor or device generates the data, also called the edge. Developments in edge computing mean that edge AI is becoming more important.

Edge AI starts with edge computing. Also called edge processing, edge computing is a network technology that positions servers locally near devices. This helps to reduce system processing load and resolve data transmission delays. These processes are performed at the location where the sensor or device generates the data, also called the edge. Developments in edge computing mean that edge AI is becoming more important.