For years, the potential of Artificial Intelligence (AI) was limited by a single interface, the chat box. Between 2023 and ...

Abstract: This paper tackles the consensus tracking control challenge for a category of uncertain nonlinear multi-agent systems subject to unknown time-varying disturbances and output constraints.

Nearly every SaaS product is either integrating AI or planning to do so. However, the term “AI” has become so broad that it’s ...

At HIMSS26, Dr. Nathan Moore of the BJC Accountable Care Organization will show how health systems can move beyond chatbots ...

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 ...

Sydney-headquartered MediRecords is gradually releasing AI agents into its patient management system, joining the growing chorus of health IT providers introducing the technology to help deliver ...

Across industries, organizations are racing to harness the power of AI. The potential in intelligent automation alone motivated a $252.3 billion corporate AI investment in 2024, 1 and those ...

This Perspective explores the transformative potential of multi-agent systems (MAS) powered by Large Language Models (LLMs) in the geosciences. Users of geoscientific data repositories face challenges ...

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 build an Agentic Data and Infrastructure Strategy system using the lightweight Qwen2.5-0.5B-Instruct model for efficient execution. We begin by creating a flexible LLM agent ...

The field of AI alignment has long focused on aligning individual AI models to human values and intentions. But with the rise of multi-agent systems, this focus is shifting now. Instead of a single ...