Linda Nozick, director of the Department of Civil and Environmental Engineering at Cornell, helps professionals navigate risk in the Risk Analysis certificate program.
Reinforcement Learning, an artificial intelligence approach, has the potential to guide physicians in designing sequential treatment strategies for better patient outcomes but requires significant improvements before it can be applied in clinical settings.
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.
Philanthropic organization Schmidt Sciences has named Carla P. Gomes of Cornell Bowers CIS an AI2050 Senior Fellow for her work on innovative AI approaches to advance scientific discovery, focusing on significant sustainability challenges.
A new app developed by Cornell computer science researchers helps users record highly accurate time-lapse videos of body parts – a surprisingly difficult task and an unmet need in remote medicine and telehealth applications.
A new method developed at Cornell provides tools and methodologies to compress hundreds of terabytes of genomic data to gigabytes, once again enabling researchers to store datasets in local computers.
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.