In 2026, enterprises will be expected to automate processes that involve judgment, negotiation, compliance interpretation, ...

The field of control systems and multi-agent dynamics encompasses a sophisticated blend of theory and practice, designed to manage the behaviour of interconnected systems ranging from large-scale ...

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 ...

Install Antigravity on MacOS, Windows, or Linux and add OpenCode, then run parallel agents to complete tasks faster with less back-and-forth.

The governance challenge is intensifying as digital systems increasingly optimize for machine consumption rather than human ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. Multi-agent AI is rapidly gaining traction, and one big ...

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.

A research team has identified and demonstrated a vulnerability in emerging agentic AI systems, including multi-agent control platforms (MCPs) and AI browsers, coined “IdentityMesh.” This newly ...