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.

Duke University engineers are using artificial intelligence to do something scientists have chased for centuries; turn messy, ...

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, ...

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

President Donald Trump and former Secretary of Transportation Pete Buttigieg have sparred over the condition of the air ...

These universal truths form the shared foundation upon which a great deal of rigorous and robust merit-based inquiry is ...

Going by his words, understanding the human brain is far more complex than comprehending the entire solar system. Veteran ...

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

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

A booth demo highlights why the Cognex In-Sight 3800 makes quick work of executing inspection tasks on high-speed ...