Professional mathematicians have been stunned by the progress amateurs have made in solving long-standing problems with the assistance of AI tools, and say it could lead to a new way of doing mathemat ...

With the wide application of UAVs in modern operations, efficient cooperative task assignment of heterogeneous UAVs under complex constraints has ...

A new digital system allows operations on a chip to run in parallel, so an AI program can arrive at the best possible answer ...

Among high school students and adults, girls and women are much more likely to use traditional, step-by-step algorithms to ...

The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...

Building large-scale quantum technologies requires reliable ways to connect individual quantum bits (qubits) without ...

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...

Learn a clear, step-by-step approach to solving coding problems—from understanding the prompt and planning an algorithm to ...

Risk management within construction has always been a moving target. Today's projects demand proactive strategies due to ...

Abstract: The increasing complexity of educational challenges in technical disciplines highlights the need for personalized learning systems to address diverse student needs. Traditional methods, ...

Abstract: The Quantum Approximate Optimization Algorithm (QAOA) was developed to tackle combinatorial optimization problems, such as the Travelling Salesman Problem (TSP), by approximating solutions ...