Linus Torvalds officially released Linux Kernel 7.0 on April 12, 2026. He describes this release as a "solid progress" marker rather than a feature-driven overhaul. The development cycle remained ...

This repository explores Linux kernel modules, diving into differences between modprobe and insmod (1_modprobe_vs_insmod), and delves deeper into the internal module ...

Why it matters: The kernel space is the core component of a computer operating system, where critical hardware management and device driver code reside in memory. If a kernel-level driver malfunctions ...

ABSTRACT: The Negative Binomial Multiple Change Point Algorithm is a hybrid change detection and estimation approach that works well for overdispersed and equidispersed count data. This simulation ...

Functional programming, as the name implies, is about functions. While functions are part of just about every programming paradigm, including JavaScript, a functional programmer has unique ...

Kent Overstreet, the lead developer of Bcachefs file system, has been banned from contributing to the Linux kernel for the duration of the 6.13 kernel development cycle. The ban, announced on November ...

This project is an introduction to the kernel and driver programming. It is about compiling a custom Kernel, building and using a kernel module, and learning how drivers in Linux work. It is the 2nd ...

Kernel drivers are the bridge between the Linux operating system and the hardware components of a computer. They play a crucial role in managing and facilitating communication between the OS and ...

At the KubeCon + CloudNativeCon + Open Source Summit in Hong Kong last week, Linus Torvalds, the creator of the Linux kernel, provided a rare glimpse into the inner workings of the open source ...

The CrowdStrike incident that affected more than 8.5 million Windows PCs worldwide and forced users to face the “Blue Screen of Death,” made Microsoft sit down and revisit the resilience of its ...

Abstract: This paper proposes a multi-kernel linear programming support vector regression with prior knowledge in order to obtain an accurate regression model in the case of the scarcity of measured ...