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 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 ...
Researchers have developed a new binarized neural network (BNN) scheme using ternary gradients to address the computational challenges of IoT edge devices. They introduced a magnetic RAM-based ...
SAN JOSE, Calif.--(BUSINESS WIRE)--Edge Impulse, the leading platform for building, refining and deploying machine learning models and algorithms to edge devices, has released a new suite of tools ...
The moment AI leaves the protected environment of the cloud, accuracy becomes the most critical thing to get right.
The expert team at Freeform Dynamics offer news and views on the latest hot topics, and pragmatic advice based on real-world experience and meaningful research studies. Why do we need dedicated AI ...
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