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 ...
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 ...
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 ...
Autonomy isn't free; rather, it's financed by sophisticated oversight systems that enable safe and reliable autonomous ...
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 ...
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 ...
On-device training capability would enhance the user experience while protecting privacy. We’ve all had those frustrating experiences with our mobile phones when the voice assistant seems to possess ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
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