Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...

As universities increasingly adopt digital tools and automated analytics systems, attention often centers on these tools' ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

A Cornell University fellow develops strategies to extract more than correlations from algorithms’ predictions.

Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...

The third phase of ticket sales for the FIFA World Cup 2026, the Random Selection Draw, is now open for applications. This is the first time fans can apply for single-match tickets based on the ...

Abstract: Random walk centrality is a fundamental metric in graph mining for quantifying node importance and influence, defined as the weighted average of hitting times to a node from all other nodes.

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Researchers have successfully used a quantum algorithm to solve a complex century-old mathematical problem long considered impossible for even the most powerful conventional supercomputers. The ...