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

Axiom says its AI found solutions to several long-standing math problems, a sign of the technology’s steadily advancing reasoning capabilities.

RIT alumnus Adam Giammarese received the Edward N. Lorenz Early Career Award for his Ph.D. research in chaos theory and ...

Math anxiety is a significant challenge for students worldwide. While personalized support is widely recognized as the most ...

A Russian mathematician has developed a new method for analyzing a class of equations that underpin models in physics and ...

"AI can't do math" is no longer true. Our team has been using Creatium Studio's math capabilities to create interactive ...

Dr. Leonardos Gkouvelis, researcher at LMU's University Observatory Munich and member of the ORIGINS Excellence Cluster, has ...

These student-constructed problems foster collaboration, communication, and a sense of ownership over learning.

Students from SRM Institute of Science and Technology (SRMIST) made their mark on the international academic arena by taking part in the 2026 Mathematical Contest in Modeling (MCM)—a prestigious ...

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

A hands-on, integrated approach has the potential to transform math from a gatekeeper into a gateway for STEM opportunities for all students.