Do you stare at a math word problem and feel completely stuck? You're not alone. These problems mix reading comprehension ...

Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Looking for good code examples for LeetCode problems? You’re in luck! Lots of people share their solutions online, especially ...

Coding can help students understand the building blocks of world languages, and it provides an authentic way to tell stories.

A Cornell University fellow develops strategies to extract more than correlations from algorithms’ predictions.

-- Large Language Model (LLM): An LLM is a type of AI model trained on vast amounts of data (books, websites, articles) to ...

Lance Fortnow on the current status and future outlook of solving the P-NP problem.

Algorithms shape search, social media, and reputations, prioritizing relevance, engagement, quality, and machine ...

What makes Vivek Shah's story resonate so deeply is that his commitment to quality and alignment extends far beyond the realm of algorithms. Alongside his demanding role steering Gauge AI, he is the ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

The currents of the oceans, the roiling surface of the sun, and the clouds of smoke billowing off a forest fire—all are ...