In 2026, here's what you can expect from the AI industry: new architectures, smaller models, world models, reliable agents, ...

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.

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

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

Microsoft is pushing AI agents deep into Windows, reviving a platform strategy that once made the PC operating system dominant.

In artificial intelligence, 2025 marked a decisive shift. Systems once confined to research labs and prototypes began to ...

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

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

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

Zhipu AI has open-sourced AutoGLM, an AI agent model described as the first to demonstrate stable on-device “phone use” capabilities, Blue Whale Finance reported. The model can perform multi-step ...