Learn the benefits of OpenAI Agents SDK handoffs and how to implement them for seamless AI collaboration and improved ...

There is an urgent need to increase multi-agent systems’ resilience. Efforts, however, are hampered by three gaps: current approaches are case study specific, may depend on infrastructure investment, ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at ...

Human-in-the-loop control is urgent as AI is unleashed on ever-more critical systems – and as it becomes more sophisticated ...

When organizations are dependent on a community of AI Agents, someone needs to know how they were designed to work. Retaining ...

With the rapid development of network technology and control technology, a networked multi-agent control system is a key direction of modern industrial control systems, such as industrial Internet ...

Overview Reference implementation of Agentic Retrieval-Augmented Generation (Agentic RAG) using A2AJava, a structured Java agent framework. The implementation follows the design patterns introduced in ...

In mission-critical environments—think disaster response, financial systems, or supply chain logistics—success hinges on the seamless collaboration of multiple agents, whether they’re humans ...