Axiom says its AI found solutions to several long-standing math problems, a sign of the technology’s steadily advancing reasoning capabilities.
This story originally appeared in the February 2025 issue of Texas Monthly as part of our public-education feature, “What Our Schools Actually Need.” Humans have been learning math for thousands of ...
Math-M-Addicts students eagerly dive into complex math problems during class. In the building of the Speyer Legacy School in New York City, a revolutionary math program is quietly producing some of ...
For all of the recent strides we’ve made in the math world—like a supercomputer finally solving the Sum of Three Cubes problem that puzzled mathematicians for 65 years—we’re forever crunching ...
🃏 AI solves famous math problem. Bigger breakthroughs to come? When you consider that the US productivity growth — the main, long-term driver of rising living standards — has been in a 50-year funk, ...
A.I.’s math problem reflects how much the new technology is a break with computing’s past. By Steve Lohr In the school year that ended recently, one class of learners stood out as a seeming puzzle.
These student-constructed problems foster collaboration, communication, and a sense of ownership over learning.
Clarification: This story has been updated to clarify how University of Colorado researchers handle their data collection. A student digs into a math problem that references his favorite superhero, ...
The employment future looks bright for people with strong math skills. But among the nation’s K-12 students, that represents a small and dwindling demographic. What’s to blame for students’ poor math ...
Alan Veliz-Cuba has received funding from the Simons Foundation and the American Mathematical Society for some of his research. You can probably think of a time when you’ve used math to solve an ...
Large Language Models (LLMs) have ushered in a new era of artificial intelligence (AI) demonstrating remarkable capabilities in language generation, translation, and reasoning. Yet, LLMs often stumble ...