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 Tech researchers found that writers who used biased AI auto-suggestions saw their views gravitate toward the AI’s positions without their realizing it — even when they were made aware of the biased AI.
Researchers have found that quantum systems in a frozen state can be stabilized long enough to be a useful strategy for preserving information before it disappears.
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.
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.
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 researchers studying microplastics, robotics and machine learning are recent recipients of National Science Foundation Faculty Early Career Development Awards.