The “New Day at the MTA” conference, co-sponsored by the Metropolitan Transportation Authority, the Jacobs Technion-Cornell Institute at Cornell Tech and the Empire State Development Corporation, explored solutions for an aging transit system that moves 8.6 million people a day.
A new digital tool developed by a team of researchers at Cornell and Stanford University can accurately predict how knitting patterns will turn out ahead of time – and does it about 100 times faster than existing methods.
Bart Selman, professor of computer science, opened the lecture series "The Emergence of Intelligent Machines: Challenges and Opportunities"
by highlighting the potential real-world impacts of artificial intelligence.
Jon Lindsay, assistant professor of digital media and global affairs at the University of Toronto, will discuss the threat of cyberwarfare in an Oct. 26 lecture hosted by the Mario Einaudi Center for International Studies.
When it comes to studying for their all-important baccalaureate exam, students in Cameroon are largely left to their own devices. Now a team of Cornell researchers wants to use those devices to help them prepare for the test.
If everyone uses algorithmically generated profiles, users trust them, according to a new study from Cornell researchers. However, if only some hosts choose to delegate writing responsibilities to artificial intelligence, those with AI-generated profiles are likely to be distrusted.
Cornell researchers have discovered an inexpensive and accurate method for self-driving cars to detect three-dimensional objects, potentially revolutionizing the autonomous vehicle industry.
To help robots understand human language when navigating, researchers divided their task into two separate stages: first, interpreting the language in a command and mapping out a path; and then executing the trip.