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Cornell researchers have developed an automated system that uses machine learning, data analysis and human feedback to automatically verify statistical claims about the new coronavirus.

Cornell Tech is creating virtual lessons and daily Twitter challenges to continue promoting computer science education for children in grades K-12, even as the world tackles unprecedented challenges.

When an online conversation derails, participants might look to artificial intelligence to help get back on track, Cornell research shows.

A recent Cornell Tech alumnus is applying his health tech skills to a crowdsourcing app that allows users to share their COVID status, to better inform individuals and health authorities.

A new Cornell-designed algorithm inspired by mammal brains both sheds light on how the brain works and, applied to a computer chip, learns patterns better than existing machine learning models.

Students in fields ranging from computer science and engineering to business, agriculture and animal science convened at the second Digital Agriculture Hackathon, Feb. 28-March 1, with a shared purpose: to combine their disparate skills to brainstorm ways to make the world a better place.

Projects aiming to combat online harassment of women and improve the computer models used to predict disease were among the five at Cornell to receive 2019-2020 Google Faculty Research Awards.

The four faculty teams that received funding support through the President’s Visioning Committee on Cornell in New York City have conducted cross-campus workshops, hosted interdisciplinary talks and expanded their outreach.

Cornell is joining a collaboration of 36 colleges and universities committed to building the field of public interest technology and preparing a generation of civic-minded technologists.