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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 #64721 · 04/09/2026, 04:04 PM

🚀 U.S. Treasury Launches Cybersecurity Initiative for Digital Assets The U.S. Treasury's Office of Cybersecurity and Critical Infrastructure Protection (OCCIP) announced a new initiative on April 9 aimed at bolstering cybersecurity within the digital asset sector. According to BlockBeats, this initiative will provide eligible U.S. digital asset companies and industry organizations with timely and actionable cybersecurity information. The goal is to enhance their ability to identify, prevent, and respond to cyber threats targeting their customers and networks. This action implements a key recommendation from the President's Working Group on Financial Markets report titled 'Strengthening U.S. Leadership in Digital Financial Technology.' #USTreasury#Cybersecurity#DigitalAssets#OCCIP#CriticalInfrastructure#FinancialMarkets#CyberThreats#DigitalFinancialTechnology