Two decades ago, the mathematician Moon Duchin spent her summers teaching geometry at Mathcamp, a program for mathematically talented teens. Campers contemplated notions such as how to prove whether a ...

The proof-of-concept could pave the way for a new class of AI debuggers, making language models more reliable for business-critical applications.

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

The proof, known to be so hard that a mathematician once offered 10 martinis to whoever could figure it out, uses number ...

The rushed and uneven rollout of A.I. has created a fog in which it is tempting to conclude that there is nothing to see here ...

1. Fast and Slow Piles. This works well as a starting or closing activity. Students sort math fact cards into fast and slow piles. This visual way of tracking facts highlights which facts come ...

For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...

It has taken eight years and $303 million in seed and three rounds of venture funding, but NextSilicon is today delivering ...

Rashid, M. and Johnston-Wilder, S. (2025) Building Bridges, Not Barriers: A Brief Study of Developing Mathematical Resilience in FE GCSE Mathematics Resit Students. Creative Education, 16, 1637-1650.

Many successful machine learning models for molecular property prediction rely on Lewis structure representations, commonly encoded as SMILES strings. However, a key limitation arises with molecules ...

Abstract: Combining the message-passing paradigm with the global attention mechanism has emerged as an effective framework for learning over graphs. The message-passing paradigm and the global ...