Convolution operations are fundamental to Convolutional Neural Networks (CNNs), which are widely used in applications such as video compression and image recognition. However, these operations are ...
Abstract: Hyperspectral imaging (HSI) captures reflectance characteristics across hundreds of narrow spectral bands, enabling the joint acquisition of fine-grained spatial details and continuous ...
Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...
When benchmarking 2D depthwise convolutions on an NVIDIA H200, I observed that TensorFlow’s implementation is noticeably slower and consumes more power compared to PyTorch. Using a kernel-level ...
When comparing a 2D depthwise convolution implemented in PyTorch vs. pure JAX/XLA on GPU, I observed that the PyTorch version runs roughly 3× slower and draws substantially more power than the ...
Connor Hogg has been playing video games since Rugrats Search For Reptar on the PS1. He spends a lot of time overthinking everything he plays and itching to write about it, whether that means ...
Epilepsy detection using artificial intelligence (AI) networks has gained significant attention. However, existing methods face challenges in accuracy, computational cost, and speed. CNN excel in ...
1 School of Artificial Intelligence, Hebei University of Technology, Tianjin, China 2 Tianjin Key Laboratory of Environment, Nutrition and Public Health, Department of Occupational and Environmental ...
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