Cornell statistician Shawn Mankad and his colleagues have found a faster way to improve mobile apps, with a new text-mining method that aggregates and parses customer reviews in one step.
Researchers at Cornell Tech found that people are far more likely to say they believe news stories that align with their own political views no matter what outlet they’re from. But when offered a cash bonus for accuracy, participants were more likely to trust the news stories that countered their views.
A method intended to evaluate racial disparities in lending decisions can yield very different results depending on tiny changes in how it guesses applicants’ races, according to a new Cornell-led study.
Two Cornell Tech master’s students have developed a prototype for augmented reality headsets to help people who are deaf or hard of hearing navigate one-on-one conversations.
Citizen science databases can be inconsistent, but Cornell researchers have developed a deep learning model that effectively corrects for location biases, leading to more reliable predictions.
A study of 765 million downloads from streaming service Spotify reveals clear patterns in musical preferences based on geography, gender, time of day and other considerations.
Cristos Goodrow ’91, YouTube’s vice president of engineering, leads the team that helps viewers sort through the millions of videos uploaded every day to find content they want to see.
Scientists will discuss ways to use computer power to solve problems in ecology and conservation at the Fourth International Conference on Computational Sustainability, July 6-8.
A portable concussion detection machine created by three college students, including one from the College of Arts and Sciences, was shown at the Consumer Electronics Showcase, Jan. 5-8 in Las Vegas.