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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 ...
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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 ...
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 ...
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 ...
LPDDR has come a long way since its early days. The first generation offered modest speeds around 400 MT/s, but it introduced critical low-power features like deep power-down modes. LPDDR2 and LPDDR3 ...
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. The relentless evolution of edge devices is fundamentally reshaping diverse sectors such as ...
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