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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 #65220 · 04/12/2026, 04:08 AM

🚀 Google Quantum AI Reduces Resources Needed to Break Bitcoin Signatures Google Quantum AI research has significantly reduced the estimated resources required to break Bitcoin's ECDSA signatures by approximately 20 times. According to NS3.AI, this advancement places the theoretical threshold near 500,000 physical qubits. The primary risk is associated with transaction signing and addresses with exposed public keys, rather than Bitcoin mining or the entire blockchain. #Google#QuantumAI#Bitcoin#ECDSA#Cryptography#Qubits#Cybersecurity#Blockchain#BTC