Fake job recruiters hide malware in developer coding challenges

A new variation of the fake recruiter campaign from North Korean threat actors is targeting JavaScript and Python developers with cryptocurrency-related tasks.
IEEE

QUBO Formulations and Characterization of Penalty Parameters for the Multi-Knapsack Problem

Abstract: The Multi-Knapsack Problem (MKP) is a fundamental challenge in operations research and combinatorial optimization. Quantum computing introduces new possibilities for solving MKP using ...
Hosted on MSN

Python tutorial: Solving boundary value problems using finite differences

Learn how to solve boundary value problems in Python using the finite difference method! 🐍📐 This tutorial walks you step-by-step through setting up the problem, discretizing the domain, and ...
GitHub

HAIV-Lab/OSPCoOp_Imagenet-bg

To further test the robustness of the model against background interference, we propose an ImageNet background interference test set, ImageNet-Bg, based on the ImageNet validation set with 48,285 ...
GitHub

AgentRun: Run AI Generated Code Safely

AgentRun is a Python library that makes it easy to run Python code safely from large language models (LLMs) with a single line of code. Built on top of the Docker Python SDK and RestrictedPython, it ...
IEEE

Multitask Knapsack Problems with Scalable Objective and Constraint Similarities: Behavioral Analysis of Evolutionary Multi-Factorial Algorithms

Abstract: This paper proposes a multitask knapsack problem framework as a discrete test suite that allows for the independent adjustment of both objective and constraint similarities among tasks. The ...
Hosted on MSN

Illustrating physics problems with Web VPython in Python

Illustrating physics problems with Web VPython in Python. Learn how to build clear 3D visualizations for motion and forces, and bring physics concepts to life with interactive animations and simple ...