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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 #65152 · 04/11/2026, 01:10 PM

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🚀 AI TRENDS | Faster AI Progress May Impact U.S. Labor Force Participation by 2050 A recent study conducted by multiple universities suggests that accelerated advancements in artificial intelligence could significantly affect U.S. labor force participation. According to NS3.AI, the research predicts a decline from 62% to 54% by 2050 under a rapid AI development scenario. This scenario also anticipates an annual GDP growth rate of 3.5% between 2045 and 2049. The focus of the debate has shifted to whether AI will generate sufficient new employment opportunities to counterbalance the displacement of existing jobs. #AI#AItrends#USlaborforce#AIdisplacement#GDPgrowth#laborforceparticipation #2050 #futureofwork

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