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Source channel @githubtrending · Post #14985 · Jul 22

#c_lang#cuda#cuda_driver_api#cuda_kernels#cuda_opengl You can use the CUDA Samples from NVIDIA to learn and test CUDA Toolkit 12.9 features by downloading them from GitHub or as a ZIP file. These samples show how to use CUDA for GPU programming, including utilities, concepts, libraries, and performance optimization. You build them with CMake on Linux, Windows, or Tegra devices, and can run tests automatically with a provided Python script. This helps you understand CUDA programming, debug GPU code, and optimize your applications for better performance on NVIDIA GPUs. It’s a practical way to develop and improve GPU-accelerated software efficiently. https://github.com/NVIDIA/cuda-samples

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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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