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.
Students, faculty, staff, alumni and community members are working together around the clock to 3D print protective visors for medical workers at Weill Cornell Medicine and local hospitals.
When an online conversation derails, participants might look to artificial intelligence to help get back on track, Cornell research shows.
The Cornell Online Learning Community’s annual event, held in person and virtually on March 4 in G10 Biotech, highlighted tools and possibilities for improving accessibility in online learning.
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: