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

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

Examining mistakes gives students a chance to discuss misconceptions openly and find new approaches to solving problems.

Rather than study how to use AI, students in this machine learning class work with the math that makes the AI work.

Looking to unlock deeper data-driven insights or to build more intelligent business process automations? These popular tools ...

Jon Becker, upper school history and English teacher, has 9th grader Demetrios Karavedas stand on a chair and apologize for ...

A University of Florida study found that while AI chatbots enhance creativity and engagement in Geomatics education, they ...

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.

Sonoma Valley Unified School District’s 2024-25 standardized test results show that the percentage of students’ meeting or ...

In a school system still in recovery from pandemic learning loss, RSM and programs like it may push the students who can afford them further ahead, leaving others on the edge of a widening educational ...

A heartfelt note from a high school math teacher has gone viral after his former student shared how his words helped her during one of the darkest periods of her teenage years. In a TikTok video with ...