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.
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.
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.
Now in its ninth year, Cornell’s SoNIC summer workshop has exposed hundreds of minority students from across the country to the frontiers of computer science, as well as the prerequisites and rewards of advanced degrees.
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.
Éva Tardos, the Jacob Gould Schurman Professor of Computer Science, has been named the new editor-in-chief of the Journal of the Association for Computing Machinery.
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.
Climate change hits home. A warming world affects the Northeast region, and to demonstrate, the Cornell Institute for Climate Smart Solutions has developed a new online tool: Climate Change in Your County.