As enterprises increasingly demand fail-safes against single-vendor reliance, Sakana is proving that packaging collective ...

Microsoft's new vulnerability-scanning system, codenamed MDASH, scored 88.45% on the CyberGym benchmark, surpassing single-model systems from Anthropic and OpenAI by using more than 100 specialized AI ...

Multi-agent AI agent personality shapes outcomes in collaborative and negotiation workflows but not in structured coding, ...

Agentic AI moves beyond chatbots into systems that plan, use tools, and act. Learn key terms, architectures, risks, ...

Large language models like ChatGPT play an ever-evolving role in the modern business landscape. Your curiosity may have led you to engage two AI models in conversation before, but have you considered ...

As AI continues to accelerate cyber risk globally, Microsoft has announced a new multi-model, AI-driven vulnerability ...

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 ...

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

The latest monthly update to Visual Studio Code, version 1.107 (the November 2025 release), continues Microsoft's focus on AI-assisted workflows with expanded multi-agent orchestration across local, ...

Large Language Models (LLMs) show promise in healthcare tasks but face challenges in complex medical scenarios. We developed a Multi-Agent Conversation (MAC) framework for disease diagnosis, inspired ...

Classical Chinese translation presents significant challenges: manual methods suffer from high costs and inconsistent quality, while both traditional machine translation and approaches relying solely ...

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 ...