What Is AI at the Edge and Why Is Amber a Great Example of This?

"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:

1. Reduced Latency: By processing data locally, AI at the edge can provide real-time or near-real-time responses without relying on a network connection to a remote server.
2. Improved Privacy: Data processed at the edge remains on the local device, reducing the risk of sensitive information being transmitted over the network.
3. Cost Efficiency: Edge devices can perform AI computations locally, reducing the need for expensive cloud infrastructure and minimizing data transfer costs.
4. Reliability: AI models deployed at the edge can continue to function even in situations where network connectivity is limited or intermittent.
5. Bandwidth Optimization: By processing data locally, AI at the edge can reduce the amount of data that needs to be transmitted to a central server, optimizing bandwidth usage.

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.