A Cornell-led collaboration developed machine-learning models that use cell-free molecular RNA to diagnose pediatric inflammatory conditions that are difficult to differentiate.
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.
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.
Researchers found that cooperative partnerships seeking to spread the cost burden of water infrastructure projects often end up forcing local partners to bear the brunt of supply and financial risks.
What are the options for limiting harm as AI use grows? This is one of the questions a network of international colleagues are tackling in a research collaboration launched with a 2022 Joint Research Seed Grant from Global Cornell’s Global Hubs initiative. This year’s cycle of Global Hubs seed grants recently opened.
Now in its fifth year, CSMore is a program designed to give prospective computer science majors a head start on future classes, a chance to develop fundamental skills and a community to support them along their journey.
“The Barons and the Mob: Essays on Centralized Platforms and Decentralized Crowds,” a collection co-edited by James Grimmelmann of Cornell Tech and Cornell Law School, is an introduction to the complexities of online crowds.
