Robotic shepherding and multi-agent systems represent a frontier in the field of autonomous control, where bio‐inspired methodologies and advanced algorithms converge to direct groups of agents in a ...

Anton Glance, co-founder and CTO at Buildroid AI, has more than 10 years of experience in AI, robotics, automation, 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 ...

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 ...

AI is nervy. We know that a certain amount of Artificial Intelligence is somewhat nervy (or perhaps nervous) in its implementation because of concerns over decisioning bias, questions over the ...

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, machines ...

As AI-assisted coding becomes more common, a new pattern is emerging: multi-agent workflows. A multi-agent workflow refers to using various AI agents in parallel for specific software development life ...

At CES 2024 later this week, LG Electronics will be showcasing its groundbreaking smart home AI agent, an innovative product designed to redefine the concept of a connected home. This cutting-edge AI ...