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, ...

If 2025 was the year artificial intelligence became unavoidable, 2026 will be the year everyone starts talking seriously about AI agents.

The year 2026 is poised to mark a turning point for AI agents in the enterprise. After several years of hype 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 ...

AI agents are transforming payment workflows by automating invoice management, predicting payment delays, and accelerating ...

A large majority of employees at U.S. companies know the power that AI can bring to the workplace, but a new study from Ernst & Young shows that their enthusiasm for AI is thoroughly tempered by fears ...

Amazon's latest push to compete in the AI space, fronted by its new frontier AI agents and Nova Forge service, could mean ...

AI agents are continuously reviewing everything in real time, so your accounting reports will feature up-to-the-minute ...

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.

Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

Big AI companies courted controversy by scraping wide swaths of the public internet. With the rise of AI agents, the next ...

In 2026, AI agents will be everywhere in corporate decks and keynote speeches, but far less impressive in practice.