As I discussed recently, the AI industry is developing benchmarking suites that will help practitioners determine the target environment in which their machine learning, deep learning or other statistical models might perform best. Increasingly, these frameworks are turning their focus to benchmarking AI workloads that run on edge devices, such as “internet of things” endpoints, smartphones and embedded systems. // Read more: original article.
