Abstract: Although machine learning models have been remarkably effective for decision-making tasks such as employment, insurance, and criminal justice, it remains urgent yet challenging to ensure ...

Carol meets up with Diabate to discuss her newly found information and Manousos learns he isn’t the only resistor. Here’s how the latest episode of Pluribus reaches its turning point.

Stocks tumbled on Monday, extending a dayslong slide that presents a dilemma: Should investors buy in at bargain prices or unload in fear of worse to come? The tech-heavy Nasdaq plummeted 3% last week ...

In 1915, after finishing his studies in Physics at Cambridge University, a delay in his return to India due to World War I led Prasanta Chandra Mahalanobis to discover statistics in the King's College ...

This weekend in the Big Ten, Penn State football will look to rebound from a gutting loss to Oregon with a game at UCLA while undefeated Maryland will host Washington. In the not-too-distant past, ...

Reduced blood pressure and improved cognition and mental health are just a few of the documented benefits of spending time in “green” and “blue” spaces. In Singapore, greenery cascades off a luxury ...

Editorial Note: Talk Android may contain affiliate links on some articles. If you make a purchase through these links, we will earn a commission at no extra cost to you. Learn more. Measuring ...

You’ve completed a few half marathons, and your sights are set on a new goal: breaking two hours. You download a training plan designed to help you do just that ...

The latest short science news items from C&EN. “You find these microplastics worldwide, even far away from likely sources,” says Andreas Stohl, a meteorologist at the University of Vienna and one of ...

A new way to gauge distance using lasers can measure lengths of more than 100 kilometres to within a thousandth of the width of a human hair, and could be used to make better space telescopes. In ...

Abstract: In this paper, a Mahalanobis Distance-based Graph Attention Network for graph classification, is proposed. In contrast to traditional Graph Attention Networks, the proposed approach learns ...