Tiny machine learning design alleviates a bottleneck in memory usage on internet-of-things devices
An MIT team evaluated memory bottleneck to deploying machine learning on small "internet of things" devices and created a new method and device that outperforms other tinyML methods on image detection and classification tasks.
Source: mit.edu