Traditional processes used to discover new materials are complex, time-consuming, and costly, often requiring years of ...

The enterprise shift toward distributed systems of specialized AI agents is happening because reality is complex, and when ...

Kimi K2.5 introduces a multi-agent orchestration with up to 100 workers, helping teams cut complex task time and boost accuracy.

Outshift by Cisco proposes a new architecture for AI agents to share intent and context, moving multi-agent systems from ...

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

AI agents perceive their environment, make decisions, and take action, while agentic AI operates with greater autonomy, ...

Autonomous agents and multiagent systems represent a cornerstone of modern computational intelligence, combining individual self-directed decision‐making with coordinated, distributed actions.

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 ...

Moltbook turned the idea of a “social network for AI agents” into a viral spectacle, with synthetic personalities chatting, ...

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