A recent State of IT: Security report from Salesforce found that 100% of IT security leaders believe AI agents can improve at ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

As AI moves from controlled experiments into real-world applications, we are entering an inflection point in the security ...

Enterprises are shifting from static dashboards to AI-native analytics that deliver faster, conversational, context-aware insights.

AI agents are the fastest-growing and least-governed class of these machine identities — and they don’t just authenticate, ...

Researchers explored the nuanced dynamics of how people balance their desire to speak out vs their fear of punishment in a ...

Meta Platforms’ deal to acquire the Singapore-based startup behind Manus, a popular AI agent, values it at more than $2 billion, according to a person with direct knowledge of the deal. This gives the ...

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

The paper challenges the dominant “mirror metaphor” that defines digital human twins as faithful replicas of human behavior ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

For years, AI operated in the background. Machine learning models quietly analyzed data without much risk of exposure. Then ...