Docker Desktop features a simplified security context that masks many errors and failures behind the veil of a VM. Even ...

This repository contains the source code used to produce the results obtained in Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature Selection submitted to Journal of ...

Kubernetes 1.35, dubbed 'Treenetes,' delivers in-place pod resource adjustments, a capability that benefits AI training ...

Recently documented Curly COMrades group bypasses traditional host-based EDR solutions by spinning up VMs with deceptive names using Windows’ own bare-metal hypervisor. Cyberespionage groups are ...

Running Linux in a virtual machine is very useful, you can test, tinker, break things, and restore snapshots without touching your main system. However, Virtual machines can be resource-hungry. They ...

Abstract: We present the Quantum Kernel-Based Long Short-Term Memory (QK-LSTM) network, which integrates quantum kernel methods into classical LSTM architectures to enhance predictive accuracy and ...

I recently had the opportunity to do a short presentation where I needed to explain the differences between virtual machines (VMs) and containers. The audience had a general understanding of computer ...

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational framework that addresses a longstanding challenge in statistical physics. The ...

In the life cycle of any kernel branch, patch releases, those minor “.x” updates, play a vital role in refining performance, patching regressions, and ironing out rough edges. Kernel 6.15.4 is one ...