Machine Learning (Edge ML) is one of the most talked-about tech advancements since the Internet of Things (IoT), and for a good reason. So, what is Edge ML anyway? Edge ML is a technique by which Smart Devices can process data locally (either using local servers or at the device-level) using machine and deep learning algorithms, reducing reliance on Cloud networks. The term edge refers to processing that occurs at the device- or local-level (and closest to the components collecting the data) by deep- and machine-learning algorithms.
Edge devices do still send data to the Cloud when needed, but the ability to process some data locally allows for screening of the data sent to the Cloud while also making real-time data processing (and response) possible.
Bring computer vision and Artificial Intelligence(AI) to your IoT and edge device prototypes. Whether you are developing a smart camera, a drone with gesture-recognition capabilities, an industrial robot, or the next must-have smart home device, the Intel Neural Compute Stick 2 offers what you need to prototype smarter. Read more in the our blog post...