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

Legacy metrics—uptime, latency, MTTR—no longer capture operational value in an AI-driven world. Mean time to prevention (MTTP ...

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

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

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

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

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

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

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

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.

Obsessing over model version matters less than workflow.

AI assistants are quickly becoming the first stop for people who are deciding what to buy. Instead of starting on Google, ...