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 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 ...
Hybrid memory technology enables Edge devices to learn from real-world data without relying on Cloud infrastructure.
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Magnetic RAM-based architecture could pave way for implementing neural networks on edge IoT devices
There are, without a doubt, two broad technological fields that have been developing at an increasingly fast pace over the past decade: artificial intelligence (AI) and the Internet of Things (IoT).
Companies within the ROBO Global Robotics and Automation Index and the ROBO Global Artificial Intelligence Index sit at the ...
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.
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 ...
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