Pico AI IP powered by Boon Logic and MicroEJ provides unsupervised machine learning at the Edge The endeavor brings ...

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 ...

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 ...

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 ...

Enterprises are seeking a "cloud-smart" strategy, leveraging the public cloud, private cloud, and edge computing. Here we ...

We are transitioning into real-world AI: an evolution from treating AI purely as a knowledge retrieval system to AI acting as ...