A team with Cornell statisticians has develop a way to handle and simplify large data sets more efficiently than traditional methods, for when big data gets too big.
Despite being unbound by space and time, fictional protagonists in American literature travel fewer miles than their nonfiction counterparts, according to a Cornell-led research team that used artificial intelligence to analyze nearly 13,500 books from the last 230 years.
The technology, developed by a Cornell doctoral candidate, can simulate conversations with different accents and dialects and gives feedback to users on their grammar and pronunciation.
People usually strive to be their true, authentic selves, but this fall, five master’s students at Cornell Tech adopted not only alter egos but also “bad intent,” in an effort to make AI safer for health workers serving people with diabetes.
Four Cornell researchers were chosen from a competitive, global application pool to receive Bezos Earth Fund awards to use AI to address climate change and nature loss.
The Cornell NanoScale Science and Technology Facility has launched a free VR youth outreach module, designed to prepare the next generation of students in cutting-edge microchip fabrication.
Integrating AI into environmental control systems could reduce energy consumption for indoor agriculture by 25% – potentially helping to feed a growing world population.
A Cornell-led collaborative research team has received a nearly $5 million grant from the Gates Foundation and the Chan Zuckerberg Initiative to leverage artificial intelligence and transform data on effective teaching practices into insights that can accelerate the science of teaching and learning.
Dan Kowal, associate professor of statistics and data science in the College of Agriculture and Life Sciences, has developed a new Bayesian regression analysis method that’s more flexible, accurate and easy to use.