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Microsoft researchers create super‑efficient AI that uses up to 96% less energy

Summary by Upstract
When it comes to actually storing the numerical weights that power a large language model's underlying neural network, most modern AI models rely on the precision of 16- or 32-bit floating point numbers. But that level of precision can come at the cost of large memory footprints (in the hundreds…

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OODA Loop broke the news in on Wednesday, April 16, 2025.
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