Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential ...

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.

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 ...

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

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

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

Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic reinforcement-learning environments to train more reliable AI agents for complex, ...

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 ...