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NVIDIA researchers have developed a new method to extrapolate 240fps slow-motion video from 30fps content using artificial intelligence. Detailed in a paper submitted to the Cornell University Library, NVIDIA researchers trained the system by processing more than 11,000 videos through NVIDIA Tesla V100 GPUs and a cuDNN-accelerated PyTorch deep learning framework. This archive of videos, shot at 240fps, taught the system how to better predict the positioning differences in videos shot at only 30f...
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