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 ...

Learn how leading organizations are scaling AI beyond copilots with enterprise AI agents, governance strategies and ...

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 ...

Traditional processes used to discover new materials are complex, time-consuming, and costly, often requiring years of sustained effort. Recent advances in large language models (LLMs) have ...

CyberGym benchmark scores over time, showing the rapid improvement in AI vulnerability discovery capabilities. Microsoft’s multi-model MDASH system (top right) tops the leaderboard at 88.4%. (CyberGym ...

Atlas, an artificial intelligence-native video game content creation platform, announced today that it has launched a multi-agent system within its AI Studio for game asset production. Atlas AI Studio ...

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 ...

Overview: LangGraph currently leads advanced AI workflow development with strong memory and execution control.CrewAI and ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. The speakers discuss Agent RFT, OpenAI’s ...

Zapier reports that AI agent evaluation is crucial for ensuring reliable performance in real-world scenarios, identifying ...

Mythos has been MDASH’d. A new AI-powered system from Microsoft surpassed a headline-grabbing rival from Anthropic on a leading cybersecurity benchmark, using more than 100 specialized AI agents ...