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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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Crypto M - Crypto News

@CryptoM · Post #65270 · 04/12/2026, 01:09 PM

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🚀 StarkWare Researcher Proposes Complex Bitcoin Transaction Scheme StarkWare researcher Avihu Mordechai Levy has introduced a Bitcoin transaction scheme that aims to circumvent the need for a protocol change. According to NS3.AI, the proposed method involves solving a pre-broadcast puzzle, which would necessitate approximately 70 trillion attempts. Levy characterized this design as a last-resort solution due to its significant computational demands, large transaction size, and potential relay-policy challenges, all of which could hinder scalability. #StarkWare#Bitcoin#transaction#AvihuMordechaiLevy#protocol#computationaldemands#scalability#relaypolicy#BTC

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