"AI at the edge" refers to the deployment of artificial intelligence (AI) algorithms and models on local devices, such as smartphones, IoT devices, or edge servers, rather than relying on a centralized cloud infrastructure. In other words, for most AI applications, there is a need to process those functions over expensive AI processors, which are usually located on cloud server mainframes. When we talk about "AI at the Edge", that means those same difficult AI processes are now being processed on your phone or a local computer. There are several reasons why people and companies choose to use AI at the edge:
These advantages make AI at the edge an attractive option for applications that require low latency, high privacy, cost efficiency, reliability, and optimized bandwidth usage.
How is Amber involved in AI at the Edge? First and foremost, Amber X and AmberPRO are both edge devices. Ambers have already been deployed in complex situations, where AI is processed to maintain privacy and save bandwidth and server processing latency. This is especially important with items like security cameras. By hooking up a security camera straight to an AmberOS device, security algorithms such as face detection can be processed in real-time with results being sent to an end-user, much more quickly than a server based app.
LatticeWork Inc, the creators of Amber, plans to be a big component in the AI space, centered around AI at the edge. Amber will be a big part of that sphere.
Do you have an opportunity for your business or home that could take advantage of AI at the Edge? Contact us today to have us help you develop a custom AI application.