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.
Shan Cai Wei Ming Chen Ji Lin Watson Ai Lab National Science Foundation Department Of Electrical Engineering
Source: mit.edu