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.
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.
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.
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.
Cisco Research is providing funding for six research projects that will further the college's leadership in AI and point the way toward innovative solutions to challenges surrounding the use and development of AI models.
Systems engineering experts worldwide from academia, industry and government gathered Nov. 3-5 at Cornell to present research and exchange insights as part of the first annual Cornell Systems Summit.
On the Cornell Keynotes podcast, former Cornell SC Johnson College of Business professor Clarence Lee shares how companies can apply academic theory and AI frameworks in sales and marketing.
A new analysis finds that Cornell Tech, its alumni and startups achieved $768 million in total economic impact in New York City in the 2023-24 fiscal year. That impact is expected to reach $1.5 billion by 2030.
Many firms are opting for ready-made AI technology that can be tailored to the specific needs of the firm, according to a research team that included Chris Forman, professor in the Dyson School of Applied Economics and Management.