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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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IELTS|Newspapers & Magazines｜English

@emagzinewspars · Post #9561 · 11/17/2025, 03:17 AM

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#The_Science🇺🇸📕[PDF]⬇️ 13 #November2025 #Weekly_Magazines For learning, for free(dom). @backupofmagazines This issue dives into breakthroughs reshaping biology and energy as researchers confront rising geopolitical limits. From #AI-driven epigenetics to #SyntheticBiology advances, the issue tracks how innovation pushes ahead despite tensions over China-US research ties. New micro-robots navigating the bloodstream and faster-charging batteries highlight a surge in #DeepTech momentum. Climate resilience, #PandemicPreparedness, and EU chemical reforms underscore global policy stakes. Studies on dog domestication, brown dwarfs, and marine recovery after extinction broaden the scientific lens. A reminder that #ScienceMatters even as politics shift—innovation continues to define our shared future. #TechNews#GlobalTrends#ResearchUpdates

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