PCWorld’s guide helps users navigate the overwhelming choice of approximately 250 Linux distributions by focusing on five main strains: Debian, Red Hat/Fedora, Arch, Slackware, and Gentoo.

Cybersecurity researchers have discovered two new extensions on Microsoft Visual Studio Code (VS Code) Marketplace that are designed to infect developer machines with stealer malware. The VS Code ...

Debian and Ubuntu are similar, but they're not the same Debian is more stable, and Ubuntu is easier to use. I'd only recommend one of them to users new to Linux. Ubuntu is based on Debian, and ...

Both Fedora and Ubuntu are great Linux distributions. Each distribution has a lot to offer various user types. Both are free to download and use. The first Linux distribution I used with any level of ...

As AI becomes more common and decisions more data-driven, a new(ish) form of information is on the rise: synthetic data. And some proponents say it promises more privacy and other vital benefits. Data ...

Abstract: Regression models are employed in lossless compression of time series data, by storing the residual of each point, known as regression encoding. Owing to value fluctuation, the regression ...

Ubuntu Touch is a mobile operating system designed to run on smartphones, tablets, and other touchscreen devices. It was originally developed by Canonical, the company behind Ubuntu for desktop and ...

Ubuntu 5.15 kernels (22.04) (and perhaps other distros) fail to load some of calico 3.30 programs. That would break networking after upgrade to 3.30. As far as we know, the issue will most likely ...

1 Department Monitoring and Exploration Technologies, UFZ – Helmholtz Centre for Environmental Research GmbH, Leipzig, Germany 2 Department of Environmental and Engineering Geophysics, University of ...

More developers than ever before are using AI tools to both assist and generate code. While enterprise AI adoption accelerates, new data from Stack Overflow's 2025 Developer Survey exposes a critical ...

Abstract: This article aims to introduce a novel technique, adaptive sparse regression (ASR), for data-driven sparse model identification of doubly-fed induction generator (DFIG) wind turbine systems.