Major League Baseball is instituting a major change this season, and it has inspired Cornell researchers to study how stakeholders are integrating the Automated Ball-Strike System, or ABS, into baseball’s sacred gameplay.
Cornell physicists and Google researchers engaged a panel of 12 human experts to test the ability of six LLM systems to understand scientific literature at the level of a specialist.
Cornell researchers are recommending new guidelines for developing safe and responsible large language model-based mental well-being apps by consulting relevant experts and reviewing existing state and federal regulations.
The Assessing and Imagining the Impact of Generative AI on Science Symposium, March 3-5, will feature experts from across academia and industry engaging in discussions on the use and implications of generative AI.
Products to fight ear infections in dogs, a parasite in cattle and animal population control challenges won top honors at the Feb. 20-22 Animal Health Hackathon at the College of Veterinary Medicine.
A new artificial intelligence framework developed at Cornell can accurately predict the performance of battery electrolytes while revealing the chemical principles that govern them, providing engineers with a new tool for designing better batteries.
