A method intended to evaluate racial disparities in lending decisions can yield very different results depending on tiny changes in how it guesses applicants’ races, according to a new Cornell-led study.
Citizen science databases can be inconsistent, but Cornell researchers have developed a deep learning model that effectively corrects for location biases, leading to more reliable predictions.
“The Whale Listening Project,” which runs Sept. 23-26, is a four-day immersion in the beauty of whale song and a celebration of the 50th anniversary of the best-selling 1970 album, “Songs of the Humpback Whale,” co-produced by Roger Payne, Ph.D. ’61, and Katy Payne ’59.
Students and faculty from the world’s five leading agricultural universities, including Cornell, will spend three days learning and brainstorming at the Cornell Initiative for Digital Agriculture’s second annual hackathon, Feb. 28-March 1.
This spring, senior music lecturer Annie Lewandowski worked with Google Creative Lab on a project to develop artificial intelligence that can recognize patterns in humpback whale songs.
A radical collaboration between a biologist and an engineer is supercharging efforts to protect grape crops, and the technology they’ve developed will soon be available to researchers nationwide.
A CIS Seminar Series on the Emergence of Intelligent Machines will address a wide range of topics and questions raised by artificial intelligence. The lectures are scheduled for Monday evenings through May 1.
The Cornell NanoScale Science and Technology Facility enables scientists and engineers from academia and industry to conduct micro- and nanoscale research with state-of-the-art technology and expertise from its technical staff. But perhaps the facility’s greatest breakthrough is helping launch startup companies in New York state.
Machine learning models, which use data to help computers learn for themselves, are vulnerable to privacy leaks and malicious attacks, Cornell Tech researchers have found.