Artificial intelligence (AI) workloads include megabytes of data and potentially billions of calculations. With advancements in hardware, it is now possible to run time-sensitive AI workloads on the edge while also sending outputs to the cloud for downstream applications. AI scenarios processed on the edge can facilitate important business scenarios, such as verifying if every person on a construction site is wearing a hardhat, or detecting whether items are out-of-stock on a store shelf.
Source : https://azure.microsoft.com/blog/microsoft-and-qualcomm-accelerate-ai-with-vision-ai-developer-kit/
Date : September 3, 2019 at 10:33PM
Tag(s) : #IOT ENG,AI,#IOT,Microsoft,Qualcomm
