A Cornell research team has introduced a new method that helps machines make connections between what’s on the ground and how it represented on a map – an advance that could improve robotics, navigation systems and 3D modeling.
Joachims, professor of computer science and information science and director of the Cornell AI initiative, will coordinate AI across research, education and operations.
The panel, “AI + Education: Teaching and Learning in the Age of AI,” held during the 75th Trustee-Council Annual Meeting, painted a complete picture of the state of AI in education at Cornell.
In new research that puts the latest models to test in a 3D environment, Cornell scholars found that AI fares well with untangling basic knots but can’t quite tie knots from simple loops nor convert one knot to another.
Cornell researchers, in partnership with the technology company NVIDIA, have developed a method for creating digital images of cloth that more accurately captures the texture, sheen and translucence of textiles.
Artificial intelligence is everywhere, from the apps people use to the systems that shape hiring decisions and healthcare. But what happens when these tools don’t work equally well for everyone? That question drives the research of Allison Koenecke, a new assistant professor of information science at Cornell Tech.
Tianyi Chen is pushing the boundaries of artificial intelligence by asking a pressing question: What if AI could be engineered not just to optimize for a single outcome, but to make smarter, more balanced decisions — much like humans do?
Researchers in Cornell’s Matter of Tech Lab have developed CeraPiper, a fabrication system that creates customized sizes and shapes of ceramic pipes that can be fitted together and filled with water for environmentally friendly evaporative cooling.