The $1.7 million grant will help scientists with expertise in artificial intelligence and machine learning to address complex biomedical challenges in nutrition and health.
As journalists and professional fact-checkers struggle to keep up with the deluge of misinformation online, fact-checking sites that rely on loosely coordinated contributions from volunteers, such as Wikipedia, can help fill the gaps, Cornell research finds.
A tool co-developed by Cornell researchers uses AI and machine learning to solve and predict how human proteins might interface and interact with other proteins, which can greatly accelerate fundamental research and clinical precision medicine.
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.
Nicole Benedek, associate professor of materials science and engineering, uses theoretical and computational techniques to design functional materials that can improve modern technologies such as computer chips, ultrasound machines and solar panels.
Cornell has signed on as an inaugural member of the AI Alliance, an international community of researchers, developers and organizational leaders committed to supporting and enhancing open innovation in artificial intelligence.
After rebuilding post-pandemic and with diversity as its strength, the Men’s Fencing Club clinched a surprise win at the 2024 U.S. Association of Collegiate Fencing Clubs championships.
Cornell is one of four higher-education institutions in a new $12 million partnership with Google aimed at establishing New York City as the world leader in cybersecurity.
Researchers from Cornell and Brown University have developed a souped-up telepresence robot that responds automatically and in real-time to a remote user’s movements and gestures made in virtual reality.
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.