The core use case of this Proof of Concept (PoC) revolves around a banking personal assistant designed to revolutionize the way users interact with their bank account information, transaction history, ...

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 ...

As a typical complex system, avionics systems are responsible for core functions such as flight control, navigation, and communications in modern aircraft. In the forward design process of avionics ...

Abstract: Multi-agent pathfinding (MAPF) plays a critical role in tasks involving collaborative multi-agent systems, particularly in complex environments, where it ensures the safe navigation of each ...

In this video, we build a Python simulation to compute the electric field produced by a uniformly charged ring. Using numerical integration, we visualize the field behavior and compare it with key ...

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 ...

my goal is to deterministically edit the state of an agent via a tool. However, all I found in the demos was, how the agent state is edited by the predict_state via ...

RLC circuit modeling and simulation using Python, explained step by step. Explore resonance, damping, and frequency response with practical coding and clear physics insights. #RLCCircuit ...