In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study distinguished nine distinct precipitation types—varieties of rain, snow and mixed-phase ...

Abstract: Smartphones equipped with GPS and accelerometer sensors enable large-scale collection of spatiotemporal data, which can be leveraged for transportation research and urban analysis. In this ...

OpenAI's Stargate program is rapidly expanding with five new U.S. data center sites, boosting capacity to nearly 7 GW and supporting a $400 billion investment aimed at reaching 10 GW. The development ...

Forbes contributors publish independent expert analyses and insights. Lucy Paulise is executive coach and author of Timebox, based in Texas.

The demand for data centers is growing faster than our ability to mitigate their skyrocketing economic and environmental costs Amber X. Chen - AAAS Mass Media Fellow As the demand for A.I. increases, ...

Listen to more stories on the Noa app. Across a Swiss meadow and into its forested edges, the drone dragged a jumbo-size cotton swab from a 13-foot tether. Along its path, the moistened swab collected ...

Quietly but quickly, Phoenix has become one of the nation’s hotspots for a booming economic and technological phenomenon of late-stage capitalism: data centers – the boxy, sprawling farms of wire and ...

As seamless as Apple makes it look, FaceTime isn't magic. Like every other video-conferencing app, it works by streaming video and audio between devices, which means the moment you're off Wi-Fi, it's ...

Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS). Attack vector: More severe the more the remote (logically and ...

Abstract: We propose an unsupervised machine-learning (ML) method to localize faulty optical amplifiers within large optical networks using power time-series data. An amplifier is considered faulty if ...