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 ...

A machine-learning technique developed by researchers from MIT and elsewhere enables deep learning models, like those that underlie AI chatbots or smart keyboards, to efficiently and continuously ...

A new technical paper titled “On-Device Training Under 256KB Memory” was published by researchers at MIT and MIT-IBM Watson AI Lab. “Our study enables IoT devices to not only perform inference but ...

Microsoft announced on-device training of machine language models with the open source ONNX Runtime (ORT). The ORT is a cross-platform machine-learning model accelerator, providing an interface to ...

Expanding the range of cloud technologies, tailored to mission requirements ...

The collaborative machine learning startup FedML Inc. said today it has closed on an $11.5 million seed funding round. The round was made up of two separate tranches. The first raised $4.3 million and ...

SUTD researchers test a privacy-preserving approach that blends federated learning with cloud coordination for smart grids in ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. The relentless evolution of edge devices is fundamentally reshaping diverse sectors such as ...