Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

The method has two main features: it evaluates how AI models reason through problems instead of just checking whether their ...

The irregular, swirling motion of fluids we call turbulence can be found everywhere, from stirring in a teacup to currents in the planetary atmosphere. This phenomenon is governed by the Navier-Stokes ...

Individuals with strong attention-deficit/hyperactivity disorder (ADHD) symptoms, related to inefficient cognitive executive ...

Connecticut's reflexive opposition to development is undermining economic growth, but practical reforms — including better ...

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.

Mathematics has always been one of the most challenging subjects for students of all ages. From simple arithmetic to complex ...

We've all heard the best approach to solve a problem is to "sleep on it." It turns out there may be more truth to this adage ...

A new study by neuroscientists at Northwestern University validates the possibility of influencing dreams and offers a crucial step to support the theory that dreams in REM sleep — the rapid eye ...

Politicians are touting “affordability” to describe the current regime of rising prices. However, most lawmakers who claim ...

Discover Qwen3-Max Thinking, Alibaba's advanced AI model with extended reasoning capabilities. Learn about its features, pricing, performance benchmarks, and what makes it unique in 2026.

Mastery of tool-assisted hunting requires a cognitive threshold previously thought impossible for canines. The 14-month observation period revealed structural limitations in standard predatory ...