The Technology and Law Colloquium – a hybrid Cornell University course and public lecture series – returns this semester with talks from 13 leading scholars who study the legal and ethical questions surrounding technology’s impact in areas like privacy, sex and gender, data collection, and policing.
A Cornell-led collaboration received a $3 million grant from the U.S. Department of Energy to use machine learning to accelerate the creation of low-cost materials for solar energy.
Carla P. Gomes, the Ronald and Antonia Nielsen Professor of Computing and Information Science, is the recipient of the 2021 Feigenbaum Prize, given by the Association for the Advancement of Artificial Intelligence.
Éva Tardos, the Jacob Gould Schurman Professor of Computer Science, has been elected to the American Philosophical Society, the oldest learned society in the United States.
Cornell has been awarded an $8.9 million cooperative agreement from the Air Force Research Laboratory for a regional research hub to spark collaborations in academia, government and industry.
In partnership with New York community groups, Cornell researchers are developing a hyperlocal weather forecasting system designed to help emergency response.
Cornell Tech’s first virtual Open Studio – an end-of-semester event in which students present the products they built to members of the tech industry – will be held online May 15.
Rafael Pass, professor of computer science at Cornell Tech and at the Cornell Bowers College of Computing and Information Science, and a collaborator offer a potential pathway to solving an age-old computer science and cryptography problem.
New Cornell research finds that in remote parts of Bangladesh with little internet access, people have relied on local experts, spiritual views and their sense of social justice to evaluate new coronavirus information.
As scientists continue to catalog genomic variations in everything from plants to people, today’s computers are struggling to provide the power needed to find the secrets hidden within mass amounts of genomic data.