Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully ...
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 ...
Researchers focus on limiting data movement to reduce power and latency in edge devices. In popular media, “AI” usually means ...
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 ...
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 ...
Qualcomm is putting the pieces in place to shift edge AI systems from custom embedded mashups to scalable, AI-enhanced computing platforms. AI is expanding beyond the cloud, turbocharging industrial ...
Engineers have demonstrated a simple computational approach for improving the way artificial intelligence classifiers, such as neural networks, can be trained based on limited amounts of sensor data.
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