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 ...
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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).
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 ...
It can be done, but it requires the edge device vendor to work to optimize the model. A hybrid approach can also extend the applicability of LLMs by combining Cloud and Edge processing. When most ...
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 ...
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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