Students in the SoNIC program developed new models to help people with impaired vision to identify objects around them and citizen scientists to recognize bird species.
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.
A multidisciplinary team aims to build a more inclusive AI shaped by global cultures and knowledge – one of three projects that make up Cornell’s new GlobalGrand Challenge: The Future.
Jon Kleinberg is one of 37 new members from diverse fields to be selected for membership in the American Philosophical Society, the oldest learned society in the U.S.
Researchers developed a robotic version of a crash cart – a rolling storage cabinet stocked with medical supplies – to see if it can help out in unpredictable health care settings, like emergency and operating rooms.
Noor El-Hawwat’s journey into the tech industry began with a simple decision to follow in her sister’s footsteps and major in computer science. However, what started as a straightforward choice soon blossomed into a passion for…
Karan Girotra, a professor at the Cornell SC Johnson College of Business and Cornell Tech, shares a mid-year AI trends update on the Cornell Keynotes podcast.
Taking race into account when developing tools to predict a patient’s risk of colorectal cancer leads to more accurate predictions when compared with race-blind algorithms, researchers find.