News
The $1.7 million grant will help scientists with expertise in artificial intelligence and machine learning to address complex biomedical challenges in nutrition and health....
Someone wearing augmented reality, or “smart,” glasses could be Googling your face, turning you into a cat or recording your conversation – and that creates a major power imbalance with the non-wearer, Cornell researchers have found....
Researchers studying the formation of the Earth’s crust and wearable technology for daily-life applications are among those at Cornell who recently received National Science Foundation Faculty Early Career Development Awards....
Cornell Tech researchers deployed “trashbots” in Brooklyn for two weeks in July. The goal of the experiment was to see how people interact with, and make sense of, service robots in public spaces. The cleaning was an added bonus....
Many medical studies record a patient’s race using only the broad categories from the U.S. Census, which may conceal racial health disparities, a new Cornell-led study reports....
A Cornell-led team found the algorithm behind Google Ads charged far more to deliver online ads to Spanish speakers about the benefits of SNAP, formerly known as food stamps....
Researchers are more likely to pen scientific papers with co-authors of the same gender, a pattern not solely due to gender representation across disciplines and time, according to joint research from Cornell and the University of Washington....
Research by J. Nathan Matias, assistant professor of communication in CALS, found that Reddit community members who fact-checked suspect stories led to those stories being dropped in the website’s rankings....
Is artificial intelligence beginning to “understand” humor? In experiments using the New Yorker Cartoon Caption Contest as a testbed, researchers found that it’s making some progress, but isn’t quite there yet....
How can policy makers better use data to make decisions? With a National Science Foundation (NSF) Grant, three Cornell economists in the College of Arts and Sciences (A&S) will develop innovative methods for data-driven policy choices. Jörg...
Filmmakers may soon be able to stabilize shaky video, change viewpoints and create freeze-frame, zoom and slow-motion effects – without shooting any new footage – thanks to an algorithm developed by researchers at Cornell University and Google...
Researchers have built a new, interpretable machine-learning framework that captures stock- and industry-specific information and predicts financial returns with greater accuracy than traditional models....