At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...

Secure consensus control addresses the challenge of coordinating a network of autonomous agents—such as unmanned aerial vehicles, robotic teams or distributed sensors—so that they agree on common ...

We just can’t seem to help ourselves. Our current infatuation with multi-agent systems risks mistaking a useful pattern for an inevitable future, just as we once did with microservices. Remember those ...

LucidLink Corp., the maker of a cloud network-attached storage system based on object storage technology, today extended its ...

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 ...

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.

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 ...

Dapr recently introduced Dapr Agents, a framework for building scalable, resilient AI agents using Large Language Models (LLMs). It enables structured workflows, multi-agent coordination, and ...

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, ...

For too long, enterprises have failed to go beyond the view of AI as a product; an assistant that sits to the side, helping users complete tasks and delivering incremental productivity gains. This ...