A famous Vietnamese mathematician has said that current math teaching and learning reveal two major bottlenecks: curricula ...

The National Council of Teachers of Mathematics makes the argument that teachers, principals, and district leaders must “stay up to date on current AI trends” to prepare students for the future. But ...

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

Abstract: Recently, neural combinatorial optimization (NCO) methods have been prevailing for solving multiobjective combinatorial optimization problems (MOCOPs). Most NCO methods are based on the ...

Some readers may solve the problem procedurally: line up the two numbers, add the ones column, carry the one, and add the tens to get 43. Others might instead notice a creative shortcut: 29 + 14 is ...

GPT just keeps getting better at mathematics, increasingly solving the trickiest of problems. In January, AI testing company Epoch AI found that a previous version of the AI model, GPT-5.2 Pro had ...

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the backbone of AI, but mathematicians are also turning to these tools for tasks ...

Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they perform. By Siobhan Roberts A few weeks ago, a high school student emailed Martin ...

Mathematics has always been one of the most challenging subjects for students of all ages. From simple arithmetic to complex calculus, many learners struggle to understand formulas, equations, and ...

Five years ago, mathematicians Dawei Chen and Quentin Gendron were trying to untangle a difficult area of algebraic geometry involving differentials, elements of calculus used to measure distance ...

Quantum computing has occupied a peculiar place in the policy imagination: perpetually imminent, strategically important, and operationally vague. It has been featured in national strategies and ...

Abstract: Over the past decades, extensive research has been conducted on adversarial attacks and defense mechanisms in deep learning, particularly in real-world applications such as autonomous ...