With the rise of ever more efficient and cost-optimized edge AI technologies, the possibilities for connecting the multitude of smart sensor devices into intelligent networks via gateways are now more abundant than ever. The...
The demand for deploying machine learning models, especially state-of-the-art deep neural networks on edge devices is rapidly growing. Edge AI allows to run inference locally, without the need for a connection to the cloud...
Have you heard about Coral? It’s Google’s entry into the embedded hardware market, accommodating Google’s custom AI inference-targeted Edge TPU ASIC in both a standalone embedded platform and a supporting accelerator for edge...