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AI research team could streamline clinical trial design
An artificial intelligence system that operates like a collaborative team of medical experts could accelerate clinical trial design, one of the most difficult steps in drug development.
Inside baseball: AI-enabled enforcement tech takes time, testing
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.
‘Who Should I Vote for?’ Voters Turn to A.I. Before Casting Their Ballots
David Rand, a Cornell University professor, discusses the persuasive power and limitations of artificial intelligence in election decision-making.
AI & Society Seed Grants
Internal funding to support social science and humanities research on the societal impacts of AI.
Deadline: August 15, 2026.
Speeding up a manual process helps Cornell recover $100,000
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.
Can AI plan for heat emergencies better than simple rules? It depends
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.
Matt Marx named vice provost for entrepreneurship, innovation and external engagement
Marx will establish and serve as inaugural director of the Cornell Center for Entrepreneurship and Innovation, to boost university efforts to commercialize breakthrough scientific discoveries.