Quantum algorithm beats classical tools on complement sampling tasks

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

How Science Is Learning to Explore Ground Truth

A study reveals random exploration outperforms focused analysis—shedding scientific light on non-ordinary ways of knowing.
Pew Research Center

Appendix A: Survey methodology

About Pew Research Center’s Spring 2025 Global Attitudes Survey Results for the survey are based on a mix of telephone, face-to-face and online interviews ...
IEEE

A Credit Card Fraud Detection Method Based on Mahalanobis Distance Hybrid Sampling and Random Forest Algorithm

Abstract: Currently, the continuous expansion of the credit card business and the increasingly fierce competition have made all kinds of fraud risks in the overall credit card business the biggest ...
Sports Illustrated

Rory McIlroy Switched Drivers Before PGA Championship After Random USGA Testing

CHARLOTTE, N.C. — The driver Rory McIlroy planned to use during the PGA Championship was deemed non-conforming by the United States Golf Association on Tuesday, meaning he had to use a backup driver ...
IEEE

Scalable and Effective Graph Neural Networks via Trainable Random Walk Sampling

Abstract: Graph Neural Networks (GNNs) have aroused increasing research attention for their effectiveness on graph mining tasks. However, full-batch training methods based on stochastic gradient ...
GitHub

Weighted Random Item Sampler

The WeightedRandomItemSampler class implements a random sampler where the probability of selecting an item is proportional to its weight, with replacement allowed between samples. In other words, an ...