Stanford research finds single-agent AI matches or outperforms multi-agent systems under equal compute budgets — with lower ...

The underlying technology behind AI agents is still rickety and a potential cost-sucker. At two Silicon Valley events this ...

Remember that math problem from 2014? A Chinese AI tool cracked it ...

I now understand a lot more about managing AI agents after speaking to one of the creators of Workday’s Agent System of ...

Be careful telling artificial intelligence agents how to act, since they might end up hacking their way to an end goal. AI agents assigned routine enterprise tasks are independently hacking the ...

One major challenge in deploying autonomous agents is building systems that can adapt to changes in their environments without the need to retrain the underlying large language models (LLMs).

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

A surge in AI agent adoption is exposing critical systems online ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As the CTO of an AI-native email management startup, I've spent the past year building multi ...

Major retailers are rethinking AI deployment, moving from single, all-in-one agents to multi-agent systems that mirror complex retail workflows. Experts warn that relying on one agent risks ...

A linchpin of this transition is the emergent data and AI platform, what we call the system of intelligence and what Google ...

Companies are racing to put these systems into production, yet identity design still lags behind deployment. That blind spot ...