A growing body of recent research and industry commentary suggests that a shift in how organisations approach site ...

Checking cryptocurrency prices live has become a regular task for many traders, but a surprising amount of on-chain activity ...

Orchestration across multi-agent systems and platforms is a critical concern — and a key differentiator for IT leaders hoping ...

The next major evolution will come from multi-agent systems—networks of smaller, specialized AI models that coordinate across ...

Onix's 2026 AI Trends Report reveals a significant shift in enterprise operations, moving beyond experimental tools to ...

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 ...

Abstract: This research investigates the problem of exponential tracking consensus for nonlinear switched multi-agent systems (NSMASs) under limited communication resources. To alleviate the ...

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 ...

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 ...