Researchers studying artificial intelligence training data and treatment of swelling linked to breast cancer are among the eight Cornell assistant professors who recently received National Science Foundation Faculty Early Career Development Awards.
The Biden administration is wading into the debate about whether the most powerful artificial intelligence systems should be “open source” or closed. Tech companies are divided on how open to make AI models.
A new computational system called Schemonic, developed by Cornell researchers, cuts the costs of using large language models such as ChatGPT and Google Bard by combing large datasets and generating what amounts to “CliffsNotes” versions of data.
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.
Researchers studying large-scale artificial intelligence, microbial biomanufacturing and causal inference methods are among the Cornell researchers who recently received National Science Foundation Faculty Early Career Development Awards.
Cornell has signed on as an inaugural member of the AI Alliance, an international community of researchers, developers and organizational leaders committed to supporting and enhancing open innovation in artificial intelligence.
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.
During three events March 13-15, Lenka Zdeborová will explore how principles from statistical physics provide insights into challenging computational problems.
Cornell researchers developed a fairer, more equitable method for choosing top job candidates from a large applicant pool in cases where insufficient information makes it hard to choose.
