MACHINE LEARNING
What is tiny machine learning and how do we use it ?
Consuming only milliwatts of power , TinyML gives tiny devices intelligence , potentially transforming the world with trillions of applications
WRITTEN BY : ALEX TUCK
According to the tinyML Foundation , tiny machine learning ( TinyML ) is broadly defined as a fast growing field of machine learning technologies and applications . Tiny ML focuses on optimising machine learning ( ML ) workloads so that they can be processed on microcontrollers no bigger than a grain of rice .
Dr . Evgeni Gousev , Chairman of the Board , tinyML Foundation , explains : “ Recent progress in computing hardware , machine learning algorithms and networks and availability of datasets for model training have created a strong momentum in development and wide deployment of game changing AI applications , especially at the edge . Intelligent devices with human-like senses have enabled a variety of new use cases and applications transforming the way we interact with each other and our surroundings . Dedicated hardware becomes tiny and very energy efficient
120 April 2022