How modern infostealers target macOS systems, leverage Python‑based stealers, and abuse trusted platforms and utilities to ...

Google’s ATLAS study reveals how languages help each other in AI training, offering scaling laws and pairing insights for ...

Not everyone will write their own optimizing compiler from scratch, but those who do sometimes roll into it during the course ...

The Python Package Index (PyPI) has introduced new protections against domain resurrection attacks that enable hijacking accounts through password resets. PyPI is the official repository for ...

A robust and user-friendly scientific calculator application built with Python's Tkinter for the graphical interface and NumPy for powerful numerical and matrix operations. This project aims to ...

NVIDIA introduces cuda.cccl, bridging the gap for Python developers by providing essential building blocks for CUDA kernel fusion, enhancing performance across GPU architectures. NVIDIA has unveiled a ...

So basically I need to do a linear solve on a block-tridiagonal matrix. I figured I would compare against SparseArrays and a custom routine I just wrote. Here is a MWRE. using Random using ...

Abstract: Fast direct solvers for integral equations usually rely on a hierarchical data-sparse representation of impedance matrix and the rank-deficient property of matrix blocks is the key to their ...

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.