Itamar Friedman discusses how architects and engineering leaders can break through the AI productivity ceiling using adaptive ...

What if you could design a system where multiple specialized agents work together seamlessly, each tackling a specific task with precision and efficiency? This isn’t just a futuristic vision—it’s the ...

Multi-agent AI systems require strict AWS Cedar policies to prevent unchecked privilege escalation during automated ...

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 ...

Tech industry visionaries foresee a fundamental shift in network intelligence. Microsoft CEO Satya Nadella envisions humans collaborating with AI agent swarms, while Nvidia CEO Jensen Huang projects a ...

YuSMP Group has launched a multi-agent AI platform that automates end-to-end business processes, including marketing, ...

Target Multiplai 2026 will spotlight multi-agent AI, bringing industry and academia together to discuss enterprise deployment ...

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 ...

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 SWE-bench baselines by 10.5%.

As artificial intelligence (AI) becomes more common in health care, from managing records to assisting with medication decisions, researchers at the Icahn School of Medicine at Mount Sinai are asking ...