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 ...

For enterprises to truly unlock the value of AI at scale, multi-agent cooperation is not just an option but the key tipping ...

Flowable 2025.2 improves operational stability by separating AI tasks from core transaction processing. This reduces the risk that long-running AI calls delay databases or affect system performance, ...

As identity-first security continues to fail, WinMagic, a cybersecurity innovator known for pioneering full-disk encryption and secure endpoint authentication, calls for a structural shift in online ...

Anthropic has launched Claude Cowork, bringing AI agent file-manipulation to Claude Max users at $100-200/month, while ...

Flowable 2025.2 expands enterprise control over agentic automation by strengthening governed AI, multi-agent orchestration, ...

A study from Shandong Technology and Business University uses game theory to explore rural distributed photovoltaic (PV) ...

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

The Abu Dhabi Autonomous Racing League (A2RL) is all set to stage the second season of A2RL Drones, which will run from ...

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.

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