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

ZDNET's key takeaways Different AI models win at images, coding, and research.App integrations often add costly AI subscription layers.Obsessing over model version matters less than workflow. The pace ...

Analyzing several major pathology AI models designed to diagnose cancer, the researchers found unequal performance in ...

From fake court cases to billion-dollar market losses, these real AI hallucination disasters show why unchecked generative AI ...

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

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

Kevin Scott says today’s AI tools are already powerful enough to most startup surprise founders. But extracting their value ...

Generative AI and agentic AI have also changed how organizations access data. Much of advanced analytics no longer requires ...

For the first time in its 70 years of existence, the National Hurricane Center incorporated AI weather model guidance in its ...

A prediction that looks plausible but diverges from reality can create high-risk, even catastrophic situations in driving ...

In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.

Commentary: AI image and video generation took over 2025. We need some big changes to avoid an AI slop-filled future in 2026.