Math struggles in kids may stem from brains that have a harder time learning from mistakes—not just understanding numbers.

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language ...

Hyesang Chang and colleagues, from Stanford University, explored why some children struggle to learn math compared to their peers in a new JNeurosci paper. Children selected which numbers were bigger ...

On a simple math task - indicating which of two amounts is greater - kids with math learning disability get the right answer ...

Chinese AI startup MiniMax, headquartered in Shanghai, has sent shockwaves through the AI industry today with the release of ...

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

Howard Huang is laser focused on turning his Shenzhen-based Orbbec into the world’s top supplier of advanced 3D vision ...

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

DeepMind's Aletheia is a huge advance in AI-driven mathematical reasoning. It is a research agent built on top of Gemini Deep ...

Detroit Mayor Mary Sheffield announced new staffers dedicated to making changes in Detroit's educational network.

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.