Equity markets now move on more than pricing data. This article explores how combining real-time prices with machine-readable ...

Dr. Abolfazl Karimpour, Assistant Professor of Transportation Engineering at SUNY Polytechnic Institute and Director of the ...

An analysis of three recent statewide elections found that problems with voting machines were rare and easily fixed.

SAN FRANCISCO — Applying machine learning to genome-wide association and electronic health record data may usher in a new era of precision in diagnosing and managing polycystic ovary ...

This article is made possible through Spotlight PA’s collaboration with Votebeat, a nonpartisan news organization covering local election administration and voting. Sign up for Votebeat ...

Pennsylvania voters encountered only scattered voting-machine malfunctions that rarely affected their ability to cast ballots in recent elections, according to a Votebeat and Spotlight PA analysis … ...

Thermon Group Holdings has launched two new load banks to simulate liquid-cooled power and heat requirements. The Texas-based company, which provides thermal management, power distribution, and ...

It is possible to advocate for data free flow while also having regard for data privacy, security, and intellectual property concerns, says the writer.

Scientists develop dynamic landslide prediction method using hydrological and machine learning data by Northwestern University edited by Sadie Harley, reviewed by Andrew Zinin Editors' notes ...