A new Microsoft announcement suggests it has found a way to deliver kernel-level visibility and capabilities to apps running in user mode. Experts conclude a ban on kernel access for cybersecurity ...

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 ...

Rust, a modern and notably more memory-safe language than C, once seemed like it was on a steady, calm, and gradual approach into the Linux kernel. By late 2024, however, Rust enthusiasts were ...

Google has upgraded the kernel version of all Tensor-powered Pixels in the Android 15 QPR2 Beta 1 release. The Google Pixel 6 series, Pixel 7 series, Pixel 8 series, Pixel Tablet, and Pixel Fold all ...

Embedded systems have become a cornerstone of modern technology, powering everything from IoT devices to automotive control systems. These specialized systems rely on software that is lightweight, ...

There’s no talk of locking down the Windows kernel just yet, but Microsoft clearly wants to move endpoint security systems out of there. There’s no talk of locking down the Windows kernel just yet, ...

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 ...

Microsoft appears to be starting the conversation about moving security vendors out of the Windows kernel. Microsoft appears to be starting the conversation about moving security vendors out of the ...

A 2009 EU anti-competition ruling has been used as a line of defence by Microsoft as questions are being asked over why a third-party product was able to take down Windows. On Friday 19 July, 8.5 ...

Large language models (LLMs) by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get ...

Kernel methods in Quantum Machine Learning (QML) have recently gained significant attention as a potential candidate for achieving a quantum advantage in data analysis. Among other attractive ...