§ Department of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, U.K. ∥ Laboratory of Molecular Simulation, Institut des Sciences et Ingénierie Chimiques, Valais, École ...

Binaural beat (BB) stimulation has been shown to enhance working memory (WM); however, its role in information segregation and neural processing mechanisms remains insufficiently explored. This study ...

Rubik's cubes are great for fun, fast-paced problem solving, but they also have a rich mathematical structure involving ideas of symmetry and connectivity. A 3x3x3 Rubik’s cube has 43 quintillion ...

This repository contains the official implementation of our ICML 2024 paper, VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context. VisionGraph, is a benchmark ...

Chinese computer scientists have solved a 40-year-old mathematics bottleneck, an advance that might help boost performance in hi-tech areas ranging from chip design and telecommunications to drone ...

Abstract: Graph theory is a powerful tool for addressing problems involving discrete structures, such as determining the shortest length of connected river networks or the shortest distance between ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

If you’ve been making the same commute for a long time, you’ve probably settled on what seems like the best route. But “best” is a slippery concept. Perhaps one day there’s an accident or road closure ...

Advanced Learning Algorithms: This course covers the theory and practice of advanced learning algorithms, such as deep learning, reinforcement learning, and online learning. You will learn how to ...

In 2022, a team of computer scientists presented a groundbreaking algorithm for the maximum flow problem: How does one transport the most supplies from a source node to a sink node in a network while ...