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

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

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

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

AI agents will reshape 2026: they’ll feed on synthetic/structured data, remake the web, swarm unpredictably, and empower ...

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

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Microsoft is pushing AI agents deep into Windows, reviving a platform strategy that once made the OS dominant. The question ...

For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...

This was supposed to be the year when autonomous agents took over everyday tasks. The tech industry overpromised and ...

Meta Buys AI Startup Manus for More Than $2 Billion to accelerate its development of AI agents and better compete with rivals ...

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