Tiny machine learning design alleviates a bottleneck in memo

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.

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Shan Cai , Wei Ming Chen , Ji Lin , Samsung , Watson Ai Lab , National Science Foundation , Department Of Electrical Engineering , Cnn , Woodside Energy , Watson Ai Lab Research Scientist Chuang Gan , Song Han , Electrical Engineering , Computer Science , Neural Information Processing Systems , National Science , Mit Ibm Watson Ai Lab , Nternet Of Things , Edge Devices , Tinyml , Computer Vision , Tiny Machine Learning , Icrocontroller Unit Mcu , Dong Han , Onvolutional Neural Networks Cnns , Cunetv2 , Ryan Cai , Chuang Gan ,