Stealth without brains is just a shadow.” That maxim could define the emerging duel between Israel’s F-35I “Adir” and China’s ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

KLM and FEM (PZFLEX) models were used to compare piezoelectric materials in 2D matrix transducer designs, including PZT5H, high dielectric ceramics, single crystal, and multilayer PZT. The 5-layer PZT ...

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.

Learn how this popular Python library accelerates math at scale, especially when paired with tools like Cython and Numba.

Discover an efficient algorithm for solving PDEs involving the Laplacian in 2D. Our method guarantees high precision and efficiency in solving differential equations. Explore the power of the ...

Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in matrixes.

Two-dimensional direction of arrival (2D-DOA) estimation, or estimating the azimuth and elevation angles of sources simultaneously, is an increasingly important area in array signal processing. This ...