Abstract: With the rising popularity of Object-Oriented Programming (OOP) in both research and industry, it is important that computer science students be educated in the fundamentals of OOP and what ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Learn how to simulate a tipping stick with springs using Python! This video walks you through building a physics-based simulation that models spring forces, tipping motion, and friction step by step.

The following codes are for educational purpose only and not intended to be used / submitted as your own solutions. Cheating violates the Academic Honesty of the course, not to mention it's totally ...

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

Threat actors are exploiting a critical vulnerability that affects hundreds of thousands of telnet servers, bringing an often-neglected threat vector back into the limelight. One Monday, the US ...

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 ...

A coordinated campaign has been observed targeting a recently disclosed critical-severity vulnerability that has been present in the GNU InetUtils telnetd server for 11 years. The security issue is ...

A recently disclosed critical vulnerability in the GNU InetUtils telnet daemon (telnetd) is "trivial" to exploit, experts say. The bug, which had gone unnoticed for nearly 11 years, was disclosed on ...

A critical security flaw has been disclosed in the GNU InetUtils telnet daemon (telnetd) that went unnoticed for nearly 11 years. The vulnerability, tracked as CVE-2026-24061, is rated 9.8 out of 10.0 ...