The landscape of artificial intelligence is undergoing a significant transformation. As the capabilities of large language models grow, we are beginning to see a shift away from isolated ...

What if your multi-agent system could communicate faster, use fewer resources, and still maintain seamless functionality? That’s the promise of handoffs in OpenAI’s Agents SDK—a feature that’s ...

What if you could design a system where multiple specialized agents work together seamlessly, each tackling a specific task with precision and efficiency? This isn’t just a futuristic vision—it’s the ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

Microsoft researchers this week unveiled a new multi-agent AI system, aimed to help enterprises automate complex tasks typically requiring human intervention. Named Magnetic-One, the open source ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As the CTO of an AI-native email management startup, I've spent the past year building multi ...

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 ...

Microsoft researchers have unveiled a new open source multi-agent AI system, aimed to help enterprises automate complex tasks typically requiring human intervention. Named Magnetic-One, the project is ...

Researchers at Google and MIT have conducted a comprehensive analysis of agentic systems and the dynamics between the number of agents, coordination structure, model capability, and task properties.

How do you balance risk management and safety with innovation in agentic systems -- and how do you grapple with core considerations around data and model selection? In this VB Transform session, ...