Hunan Mijie Leading Education Technology Co., Ltd.: Python Core Library Upgrades Accelerate Data Science Development ...

Abstract: Sparse arrays offer economic advantages by reducing the number of antennas. However, directly utilizing the covariance matrix of sparse array signals for wideband beamforming may lead to the ...

If folks have libraries who are using SciPy sparse matrices, and you'd like help converting them to run/work with sparse array, this sounds like a nice opportunity to work that out. I wrote a ...

This project is a Python-based application to handle sparse matrices efficiently. Sparse matrices are data structures where most of the elements are zeros. By only storing non-zero values, this ...

Abstract: The sparse module of the popular SciPy Python library is widely used across applications in scientific computing, data analysis and machine learning. The standard implementation of SciPy is ...

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Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.

A new technical paper titled “Signal processing architecture for a trustworthy 77GHz MIMO Radar” was published by researchers at Fraunhofer FHR, Ruhr University Bochum, and Wavesense Dresden GmbH.

1 International Institute of Finance, School of Management, University of Science and Technology of China, Hefei, China 2 Department of Preventive Medicine, Shantou University Medical College, Shantou ...