The Euclid space telescope's stunning photo of our galaxy's “crowded heart” captures more than 60 million stars.

For just one day, our dark universe detective, Euclid, turned its gaze toward the light: the extremely bright inner region of our Milky Way galaxy, known as the galactic bulge. This special request ...

Quantifying structure complexity in filamentous matter, like proteins and polymers, via topological metrics, can be of prohibitive computational cost. A classical example is the Jones polynomial, ...

STAG is a C++ library providing efficient spectral algorithms for the analysis of massive graphs. There is also an accompanying STAG Python library. The library provides a simple and convenient ...

This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific ...

Mathematicians recently gathered for a workshop in Canada a to thrash out ideas inspired by a breakthrough a pair of researchers made in 2023 on a conjecture by Paul Erdős. The pair’s success at ...

K-Nearest Neighbors (KNN) is a simple yet effective supervised machine learning algorithm used for both regression and classification tasks. The algorithm works by finding the K nearest data points in ...

This research paper was presented at the 64 th IEEE Symposium on Foundations of Computer Science (FOCS) 2023 (opens in new tab), a premier forum for the latest research in theoretical computer science ...

Bearings are very important components in mechanical equipment, and detecting bearing failures helps ensure healthy operation of mechanical equipment and can prevent catastrophic accidents. Most of ...

Abstract: In multi-label recognition tasks, convolutional neural networks (CNNs) can extract rich features of images in Euclidean space. However, CNNs struggle to handle dependencies between ...