Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Duplicates of crystal structures are flooding databases, implicating repositories hosting organic, inorganic, and ...

A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource ...

Recent observational breakthroughs are beginning to challenge the long-standing view of dark energy as unchanging. Data from the Dark Energy Spectroscopic Instrument ( DESI ), an advanced survey ...

NASA’s Chandra telescope uses a new X-arithmetic method to compare X-ray energies and show how supermassive black holes shape galaxy clusters and galaxy groups, revealing differences in gas movement a ...

The X‑arithmetic technique offers a powerful new way to map the physics of other galactic structures across the universe and ...

Galaxy clusters are the most massive objects in the universe held together by gravity, containing up to several thousand ...

Astronomers have employed NASA's Chandra spacecraft to perform X-ray observations of a massive galaxy cluster known as SPT-CL ...

A team of University of California San Diego undergraduates won third place in the 2025 Student Cluster Competition at the ...

Abstract: Cluster analysis plays an indispensable role in machine learning and data mining. Learning a good data representation is crucial for clustering algorithms. Recently, deep clustering (DC), ...

As a refresher, syntax describes sentence structure—how words are arranged grammatically and what parts of speech they use.

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...