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Source channel @githubtrending · Post #14747 · May 25

#python#deep_learning#intel#machine_learning#neural_network#pytorch#quantization Intel Extension for PyTorch boosts the speed of PyTorch on Intel hardware, including both CPUs and GPUs, by using special features like AVX-512, AMX, and XMX for faster calculations[5][2][4]. It supports many popular large language models (LLMs) such as Llama, Qwen, Phi, and DeepSeek, offering optimizations for different data types and easy GPU acceleration. This means you can run advanced AI models much faster and more efficiently on your Intel computer, with simple setup and support for both ready-made and custom models. https://github.com/intel/intel-extension-for-pytorch

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Interesting Planet 🌍

@interesting_planet_facts · Post #784 · 09/20/2025, 12:22 AM

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🌎 The discovery of radioactivity in 1896 by Henri Becquerel revealed that uranium salts emit invisible energy. This led to the identification of new elements like polonium and radium by Marie and Pierre Curie. Their work contributed to the development of X-ray machines and atomic science. The Curies isolated just 1 gram of radium from 8 tons of ore. ✨ #radioactivity⚡#discovery⚡#inventions 👉subscribe Interesting Planet

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Google Facts™ [ ️@googlefactss🌎]

@googlefactss · Post #40412 · 12/26/2025, 03:02 AM

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On July 18, 1898, Marie and Pierre Curie discovered polonium, named after Marie’s homeland, Poland. On December 26, 1898, they announced the discovery of radium, with help from Gustave Bémont. These were two new chemical elements that helped scientists learn more about radioactivity. ⚛️ [Source] @googlefactss #MarieCurie#Polonium#Radium#ScienceHistory#Radioactivity

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