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

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 ...

We're seeing AI evolve fast. It's no longer just about building a single, super-smart model. The real power, and the exciting frontier, lies in getting multiple specialized AI agents to work together.

Researchers have developed a novel framework, termed PDJA (Perception–Decision Joint Attack), that leverages artificial intelligence (AI) to address a ...

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 ...

GenSpark is a fantastic multi-agent AI system that is reshaping the artificial intelligence (AI) landscape. By seamlessly integrating a diverse array of tools and models, it addresses complex tasks ...

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 ...

Model Context Protocol (MCP), a new open standard that defines how AI systems connect to data and tools, helps solve the interoperability challenge by functioning as a universal adapter for AI agents.

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, ...