Abstract: Matrix-based computing is ubiquitous in an increasing number of present-day machine learning applications such as neural networks, regression, and 5G communications. Conventional systems ...

Which language has the best loops? See for yourself, with our side-by-side (loop-for-loop) Python vs. Kotlin showdown. Find more stories in this week’s report.

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

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.

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on an implementation of the technique that emphasizes simplicity and ease-of-modification over robustness and ...

This paper proposes a novel shrinkage estimator for high-dimensional covariance matrices by extending the Oracle Approximating Shrinkage (OAS) of Chen et al. (2009) to target the diagonal elements of ...

Using Python to loop through two separate datasets to display summary statistics. Firstly, to discover the top three candidates (total votes & percentage of votes) from voter poll results. Secondly, ...