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

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

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

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

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

Large language models already read, write, and answer questions with striking skill. They do this by training on vast libraries of text. Once that training ends, though, the model’s knowledge largely ...

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

The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.

Obsessing over model version matters less than workflow.

If that’s left you feeling a little confused, fear not. As we near the end of 2025, our writers have taken a look back over ...

An AI security researcher says companies lack the talent to handle AI security problems — and traditional cybersecurity teams ...