A Fortune 500 retailer cut robot idle time by 15%, replenishment cycles by 12%, and costs by 8% in two months. Most ...

A research team affiliated with UNIST has reported a new simulation tool to better understand how liquid-phase chemical ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Most current autonomous driving systems rely on single-agent deep learning models or end-to-end neural networks. While ...

See how Langraph powers a multi-agent stock sim with configurable rounds and models, helping you compare trade plans without ...

The deal arrives as Meta accelerates its AI investments to compete with Google, Microsoft, and OpenAI — and as the industry’s ...

For too long, enterprises have failed to go beyond the view of AI as a product; an assistant that sits to the side, helping users complete tasks and delivering incremental productivity gains. This ...

Abstract: This study focuses on addressing distributed Byzantine-resilient output containment issues for heterogeneous continuous-time multi-agent systems. Inspired by the digital twin technology ...

Simulation environments featuring data-driven traffic agents have become essential tools for training and assessing autonomous driving (AD) systems, offering a safer and more cost-effective ...

When I first started working with multi-agent collaboration (MAC) systems, they felt like something out of science fiction. It’s a group of autonomous digital entities that negotiate, share context, ...

In this tutorial, we dive into the essence of Agentic AI by uniting LangChain, AutoGen, and Hugging Face into a single, fully functional framework that runs without paid APIs. We begin by setting up a ...