Data on Intelligent Edge Devices tagged posts

AI Models can now Continually Learn from New Data on Intelligent Edge Devices like Smartphones and Sensors

Artistic collage shows a large teal hand, pointing towards us as if typing on a smart phone, with a lens flare on the tip of the finger. The background is a surreal, AI-generated blend of smart phones, keyboards, teal screens.
Caption:A machine-learning model on an intelligent edge device allows it to adapt to new data and make better predictions. For instance, training a model on a smart keyboard could enable the keyboard to continually learn from the user’s writing.
Credits:Image: Digital collage by Jose-Luis Olivares, MIT, using stock images and images derived from MidJourney AI.

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.

Microcontrollers, miniature computers that can run simple commands, are the basis for billions of connected devices, from internet-of-things (IoT) devices...

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