Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to ...

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.

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

Mathematicians excel at handling complexity and uncertainty. Mathematical reasoning strategies aren't just useful for dilemmas involving numbers. We can apply math mindsets to improve our approach to ...

Math often feels disconnected from the real lives of students. They learn the steps, solve equations and check their work, ...

A study from the U.K. has found links between those who contracted COVID-19 and a decline in their reasoning and problem-solving abilities. The study, published last week in The Lancet, examined ...

For many years, the idea that “sleeping on it” would provide an individual with some time in which their subconscious mind ...

NVIDIA’s GTC 2025 conference showcased significant advancements in AI reasoning models, emphasizing progress in token inference and agentic capabilities. A central highlight was the unveiling of the ...