IMO 2025 saw AI models achieving Gold medal scores, raising questions about the future of mathematical problem-solving competitions.

This paper discusses the broader problem of vehicle traffic management, more popularly known as the Vehicle Routing Problem (VRP), and investigates the possible use of near-term quantum devices for ...

Problem-solving is a key transferable skill, developing the use of strategic planning, logic, curiosity, an exploratory mindset and creativity across many disciplines. Problem-solving tasks can take ...

When solutions are everywhere, our standards shift. Are we solving real problems—or just creating new ones to fix?

Another example is in the risk scoring/decision support category. "We've internally developed an algorithm called ReachVet, which uses AI to identify veterans who are at the highest risk of suicide," ...

In this study, we propose to solve the vehicle routing problem using the Grover adaptive algorithm. Compared to classical algorithms and existing quantum methods, our innovative algorithm achieves a ...

At its core, problem-solving is about understanding the challenge, designing a solution and ensuring its effective execution.

A UNSW Sydney mathematician has discovered a new method to tackle algebra's oldest challenge—solving higher polynomial equations.

Beth Yes, AI can compare lots of information very quickly, which makes finding patterns in evidence much easier and more reliable. Neil There are some problems with using AI to solve crimes though ...

Creative problem-solving isn't just about finding solutions or accomplishing goals —it's about getting to know yourself better and experiencing the joy of finding a unique solution.

The library sorting problem is used across computer science for organizing far more than just books. A new solution is less than a page-width away from the theoretical ideal. Computer scientists often ...