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

Many enterprises are moving from experimenting with single AI agents to a multi-level approach that spans functions such as ...

Stanford's DeLM lets AI agents coordinate without a central controller, cutting multi-agent inference costs 50% and beating ...

Agentic AI in pharma advances drug discovery through multi-agent systems and self-driving labs that autonomously plan, ...

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 ...

Plant phenotyping increasingly relies on (semi-)automated image-based analysis workflows to improve its accuracy and scalability. However, many existing solutions remain overly complex, difficult to ...

As cities increasingly rely on AI for sustainability challenges, a critical gap emerges: AI applications in urban planning and safety predominantly proceed without explicit guidance from established ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...

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 ...

OpenClaw and Hermes are two frameworks that, when integrated, can create a robust multi-agent system for managing complex workflows. OpenClaw, using models like Opus 46, specializes in ...

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 ...

Multi-AI agents – multiple artificial intelligence agents working together in a shared environment – can be used to address persistent workflow challenges in clinical decision support, drawing from ...