Traditional processes used to discover new materials are complex, time-consuming, and costly, often requiring years of ...

Robotic shepherding and multi-agent systems represent a frontier in the field of autonomous control, where bio‐inspired methodologies and advanced algorithms converge to direct groups of agents in a ...

In 2026, enterprises will be expected to automate processes that involve judgment, negotiation, compliance interpretation, ...

Large language models like ChatGPT play an ever-evolving role in the modern business landscape. Your curiosity may have led you to engage two AI models in conversation before, but have you considered ...

"Welcome to the world of RDHNet, a groundbreaking approach to multi-agent reinforcement learning (MARL) introduced by Dongzi Wang and colleagues from the College of Computer Science at the National ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

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, ...