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.
A new protocol can detect and remove fake data created by bots and humans attempting to enroll in online research studies, in order to prevent biased results and unwarranted payments to bad actors – the first such protocol specifically designed for data collected in rural communities.
Professor receives three-year, $750,000 Young Investigator Program award from the Office of Naval Research to develop new ways to train robots to perform complex, multistep tasks, such as inspecting and repairing ship engines.
A new study by Cornell information science researchers finds that ignoring race in college admissions leads to an admitted class that is much less diverse, but with similar academic credentials to those where affirmative action is factored in.
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.
Cornell Tech professor Karan Girotra and Cornell Law School professor Frank Pasquale discuss the laws and ethics of generative AI on the Cornell Keynotes podcast.
The third cohort of Eric and Wendy Schmidt AI in Science Postdoctoral Fellows from Cornell will tackle critical scientific challenges in sustainability, the physical sciences and more.
