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.
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.
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.
Ceres2030, a global effort led by International Programs in the College of Agriculture and Life Sciences, is employing machine learning, librarian expertise and cutting-edge research analysis to use existing knowledge to help eliminate hunger by 2030.
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.
The Cornell Center for Social Sciences has awarded $118,000 in spring grants supporting ambitious research projects and conferences involving two-dozen faculty members and resarchers.