Multi-agent systems (MAS) comprise networks of autonomous entities that interact to achieve individual or collective goals. In the face of increasing system complexity and uncertainty, formal ...

Multi-agent AI systems are poised to fundamentally reshape enterprise computing, growing from a $5.4 billion market in 2024 to $236 billion by 2034. McKinsey projects these system ...

Technical guide to securing multi-agent AI systems with zero trust principles, delegation chain validation, and behavioral ...

Forbes contributors publish independent expert analyses and insights. Joanne Chen is a General Partner at Foundation Capital. May 24, 2024, 04:48pm EDT May 24, 2024, 05:05pm EDT I recently spoke with ...

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.

As autonomous AI agents and multi-agent systems transition from experimental pilots into real production environments, software engineers are increasingly being asked to design, integrate, and ...

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 ...

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, ...