At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...

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 ...

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 ...

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

Just as cloud computing created demand for orchestration platforms and DevOps tooling, agentic AI may now be creating demand ...

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

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 ...

For too long, enterprises have failed to go beyond the view of AI as a product; an assistant that sits to the side, helping users complete tasks and delivering incremental productivity gains. This ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

Agent Name Service would create a standardized way to verify identity and capabilities across enterprise AI systems.

This paper focuses on the problem of active defense and achieving asymptotic consensus control in hybrid multi-agent systems under network attacks. Considering the influence of Byzantine nodes, on the ...

Access to reliable, economical, and sustainable energy is a critical challenge in remote communities where infrastructure constraints and unreliability of renewable energy sources (RESs) complicate ...