This repository provides a Slack bot backend implemented in Python that uses Slack Bolt and Google Cloud's Vertex AI Gemini model via the Agent Development Kit. The bot responds to text, images, PDFs, ...

Abstract: Functional integration is a growing trend in vehicle control, often involving the coordination of multiple controllers to achieve various objectives simultaneously. The need for flexibility ...

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 ...

Each user session is assigned a dedicated Docker container that runs until the browser tab is closed. If your code imports a package that is not available, the sandbox automatically installs it from ...

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 ...

New tool enables enterprise-scale evaluation of production AI agents through digital twins and synthetic customers.

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 ...

Google on Sunday announced a new open standard called the Universal Commerce Protocol (UCP) for AI agent-based shopping, at the National Retail Federation (NRF) conference. The standard, developed ...

This video demonstrates how to model rigid objects using springs in a Python physics simulation. We explore how spring forces approximate rigidity, analyze motion and stability, and visualize the ...