AI agents have emerged from the lab, bringing promise and peril. A Carnegie Mellon University researcher explains what's ...

Tech companies are aggressively marketing AI agents as autonomous digital workers that can plan tasks, execute goals and ...

The deal arrives as Meta accelerates its AI investments to compete with Google, Microsoft, and OpenAI — and as the industry’s ...

We shouldn’t ask how much knowledge an agent can retain, but rather if it has had the opportunity to develop expertise by ...

Varun is a Product management and AI leader, shaping the future of tech with strategic vision, AI platforms and agentic-AI experiences. Three weeks ago, I witnessed AI agents solving a complex ...

AI agents are moving rapidly from experimentation to everyday business use, but choosing the right platform can feel ...

2025 was supposed to be the year of the AI agent. Companies invested heavily in autonomous systems that could handle tasks ...

The industry hype says "more agents is all you need," but new data shows that strictly sequential tasks and tool-heavy integrations fail at 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 ...

Enterprises are likely to shift from single-task AI to multi-agent systems, enabling autonomous, adaptive operations, but trust and orchestration remain problematic.

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