Tech stock declines highlight unsustainable AI spending; EssentaTor proposes Mapping Mathematics for durable, efficient intelligence systems.

Most of what AI chatbots know about the world comes from devouring massive amounts of text from the internet—with all its ...

Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today's most capable reasoning models ...

Every year, the countries competing in the International Mathematical Olympiad arrive with a booklet of their best, most ...

New research shows that AI language models can develop a mathematical “understanding” that differentiates between events that ...

New research shows that AI language models can develop a mathematical "understanding" that differentiates between events that ...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

First formulated in the late 19th century by Austrian physicist and mathematician Ludwig Boltzmann, this principle remains widely used across many disciplines today. Beyond physics, it appears in ...

From fractions and decimals to distance and time, the humble-but-versatile number line can deepen students’ understanding of ...

Current AI systems are effective at storing surface-level information, but they are still developing when it comes to ...

Stanford 2026 flags AI's real value as knowledge creation. In an infinite idea space, speed is a local advantage. Priors and ...