They found that students assigned to teachers who used more mathematical vocabulary in their lessons made greater progress ...

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 ...

Abstract: To optimize the solving efficiency of multi-objective path planning problems, this paper proposes an improved solution based on Whale Optimization Algorithm (IDWOA). First, a greedy strategy ...

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 ...

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

Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...

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

Do you always feel like somebody’s watching you? Sometimes, it’s not just a feeling. If you do virtually anything online, ...

Abstract: Recently, a series of evolutionary algorithms have been proposed to enhance the search efficiency when handling large-scale multiobjective optimization problems (LSMOPs). Among them, ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...