Today, multi-agent systems (MAS) have emerged as transformative technologies, driving innovation and efficiency across various industries. Comprising multiple autonomous agents working collaboratively ...

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, ...

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

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

What if the very systems designed to transform problem-solving are quietly failing behind the scenes? Multi-agent AI, often hailed as the future of artificial intelligence, promises to tackle complex ...

According to a Deloitte survey, nearly 60% of the AI leaders and representatives are struggling with adopting AI agents, primarily due to integrating with legacy systems and addressing risk and ...

Multi-agent-based models have aroused the interest of many researchers in several applications. Its approach consists of a method for analyzing “complex social systems” characterized by multiple ...

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