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.

A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how systems evolve over time and reduces thousands of variables into compact ...

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...

Mathbots haven’t done much for K-12 math instruction. Can more sophisticated uses of AI succeed in turning around American ...

A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

Depending who you ask, AI-powered coding is either giving software developers an unprecedented productivity boost or churning ...

The answer, according to new research from the data and AI platform company, is sobering. Even the best-performing AI agents achieve less than 45% accuracy on tasks that mirror real enterprise ...

Explore the leading crypto price prediction websites for 2025, including AI-driven tools and decentralized markets ...

Executives say they still believe generative AI will eventually transform their businesses, but they are reconsidering how ...

By Deepa Seetharaman, Supantha Mukherjee and Krystal Hu SAN FRANCISCO/STOCKHOLM, Dec 16 - Last spring, CellarTracker, a ...

As companies invest heavily in AI, they struggle to convert hype into profitability, facing challenges with implementation, ...