LinkedIn and the Cornell Ann S. Bowers College of Computing and Information Science announce the fifth and final group of researchers to receive grants from their strategic partnership.
A new way to measure comorbidity can be used to accurately predict a patient’s risk of hospitalization and future healthcare costs across a population.
Training artificial intelligence to enforce even seemingly straightforward rules – like balls and strikes in Major League Baseball – is a messy, dynamic process that takes time and careful evaluation of the technology.
A two-semester collaboration between the Cornell AI Innovation Hub, graduate students and the Cornell Treasury Operations team transformed a time‑consuming, manual investigation process into a tool that helps staff process cryptic payments.
For consequential decision-making, the benefits of a simple index score vs. a less-interpretable predictive AI algorithm depend, researchers from Cornell found, on the desired outcome as well as the decision’s intended audience.
