AI agents are beginning to define how organizations operate and compete. Unlike static, rules-based systems, AI agents can ...

Why Multi-Agent Systems Outperform Traditional AutomationEnterprises have squeezed value from automation by codifying workflows, eliminating repetitive tasks and streamlining handoffs for more than a ...

Gartner predicts that by 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI.

Microsoft ships Agent Framework 1.0 but Azure's agent stack still spans too many surfaces while Google and AWS offer cleaner developer paths.

An open source personal AI agent framework called ' Agent Zero ' has been released, which uses the OS as a tool to accomplish tasks by gathering information, executing code, and collaborating with ...

LAS VEGAS—Epic is ramping up more artificial intelligence capabilities and features as it also touts how its AI tools drive measurable outcomes beyond just faster documentation time. Health systems ...

The Quarterly Projection Model (QPM) is one of the IMF’s standard frameworks for monetary policy analysis and forms a core component of a forward‑looking Forecasting and Policy Analysis System (FPAS).

Multi-agent systems, like microservices, can be powerful. But most enterprises risk adding distributed complexity long before ...

The reference architecture connects enterprise and public scientific data to accelerate target identification and compound ...

Muse Spark is Meta's most powerful model yet — it currently powers the Meta AI app and website, and will be rolling out to ...

Designed to manage concurrent agents running in containers across local and remote compute, Scion is an experimental ...

Ligand Pro, founded by Skoltech professors and a Skoltech Ph.D. student, has presented Matcha, an AI-powered molecular docking model that performs virtual drug screening 30 times faster than the large ...