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

Clinical decision-making entails complex, data-intensive, and often uncertain judgments, resulting in excessive workload and exceeding the cognitive limits of many clinicians. For more than two ...

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

The organizations treating AI as a stack, rather than a single model integration, are building durable competitive advantages ...

Imagine describing a physical simulation in plain language, such as “simulate how water flows around an obstacle shaped like a dolphin,” and receiving not only executable code and visualizations, but ...

ZioNet founder Alon Fliess previews his Visual Studio Live! San Diego session on building true agentic systems in .NET -- covering the cognitive loop, MCP tool integration, multi-agent orchestration ...

Utility of the PROSTest, a novel blood-based molecular assay, versus PSA for prostate cancer stratification and detection of higher grade disease. Insight into the global mortality trends due to ...

Researchers at Google and MIT have conducted a comprehensive analysis of agentic systems and the dynamics between the number of agents, coordination structure, model capability, and task properties.

Modern computing systems rely heavily on operating-system schedulers to allocate CPU time fairly and efficiently. Yet many of these schedulers operate blindly with respect to the meaning of workloads: ...

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 ...

Which technologies, designs, standards, development approaches, and security practices are gaining momentum in multi-agent enterprise systems? We asked the experts. Agentic AI has emerged as the ...