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Learning on the edge

A new technique enables on-device training of machine-learning models on edge devices like microcontrollers, which have very limited memory. This could allow edge devices to continually learn from new data, eliminating data privacy issues, while enabling user customization. ....

South Korea , Wei Ming Chen , Wei Chen Wang , Nilesh Jain , Ligeng Zhu , Jilei Hou , Ji Lin , National Science Foundation , Department Of Electrical Engineering , Mit Ai Hardware Program , Watson Ai Lab , Ford Motor Company , Song Han , Electrical Engineering , Computer Science , Chuang Gan , Neural Information Processing , Innovation Fellowship , Iny Ml , Dge Device Machine Learning ,