Valerie Reyna will lead Cornell's contribution in developing new artificial intelligence technologies designed to promote trust and mitigate risks, while simultaneously empowering and educating the public.
“Science Guy” Bill Nye ’77 recalled the state of mechanical engineering when he was a student, and looked ahead to the field’s future at “Sibley 150,” a celebration of 150 years of mechanical engineering at Cornell.
Researchers have demonstrated the use of artificial-intelligence-selected natural images and AI-generated synthetic images as neuroscientific tools for probing the visual processing areas of the brain.
Students in COMM 2450 are studying the impact of the world’s first AI-related hiring transparency law. Assistant professor J. Nathan Matias received the George D. Levy Engaged Teaching and Research Award for leading the community-engaged project.
Cornell Law School and Cornell Tech will host the General Counsel Summit, an executive education program for senior in-house attorneys and corporate leaders, on June 20 and 21, 2024, at Cornell Tech.
A novel combination of artificial intelligence and production techniques could change the future of nanomedicine, according to Cornell researchers using a new $3 million grant from the National Science Foundation to revolutionize how polymer nanoparticles are manufactured.
Over the last decade, perovskite photovoltaics have emerged as the most exciting alternative to silicon, with Cornell researchers studying how the material can be grown to be more durable for optimal performance, and be recycled.
The Brooks School Tech Policy Institute (BTPI) has announced a $1M project to study financial freedom in countries with authoritarian governments. Led by BTPI Director Sarah Kreps, the research will employ quantitative and qualitative approaches to understanding the use of Bitcoin and stablecoins by individuals around the world.
This second round of grants from the five-year, multimillion-dollar partnership will fund high-impact research on topics ranging from large language models and recommender systems to dynamic information retrieval and algorithmic fairness.