Transformations are the key to such codes, and they rely on math that predates computing as we know it by centuries. There ...
Abstract: Recent advances in deep learning have greatly facilitated the automated segmentation of ultrasound images, which is essential for nodule morphological analysis. Nevertheless, most existing ...
Abstract: General Matrix Multiplication (GEMM) is one of the most common kernels in high-performance computing (HPC) and machine-learning (ML) applications, frequently dominating their execution time, ...
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