Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Cybersecurity teams increasingly want to move beyond looking at threats and vulnerabilities in isolation. It’s not only about what could go wrong (vulnerabilities) or who might attack (threats), but ...

Cybersecurity researchers have discovered a JScript-based command-and-control (C2) framework called PeckBirdy that has been put to use by China-aligned APT actors since 2023 to target multiple ...

This repository is the official upstream Google Fonts Axis Registry. This data-set is synced into the central github.com/google/fonts git repo, through which all ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.