AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

This week’s recap unpacks how evolving exploits, malware frameworks, and cloud missteps are reshaping modern cyber defense ...

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...

Abstract: Public jeepneys are a primary transport mode in the Philippines, but inefficient routes extend commute times. Prior optimizations emphasize traffic or coverage, often over-looking direct ...

One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...

Abstract: In recent years, Multi-Agent Reinforcement Learning (MARL) has made breakthrough progress, demonstrating superior collaborative capabilities over human experts in complex scenarios and ...

In this tutorial, we use GlowScript VPython to build a dipole electric field simulation step by step. Learn how to model charges, compute field vectors, and create an interactive visualization that ...

Recent advances in large language models (LLMs) have enabled human-like social simulations at unprecedented scale and fidelity, offering new opportunities for computational social science. A key ...

A production-ready Python-based algorithmic trading framework featuring advanced portfolio optimization, 15 benchmark strategies, multi-armed bandit allocation, and AWS Lambda deployment for automated ...

A comprehensive toolkit for working with the Model Context Protocol (MCP), providing seamless integration between AI agents and various data sources, APIs, and services. Whether you're building, ...