A plaza dedicated and named in honor of Cornell’s 14th president, Martha E. Pollack, will be part of the new Cornell Ann S. Bowers College of Computing and Information Science building and complex, connecting it with Gates Hall.
A multidisciplinary team aims to build a more inclusive AI shaped by global cultures and knowledge – one of three projects that make up Cornell’s new GlobalGrand Challenge: The Future.
In its world-class research and teaching, Cornell Bowers CIS is uniquely positioned to guide tomorrow’s innovators as they dive into issues of ethics, fairness and privacy, while weighing the policy implications of technological advances.
This week’s episode of Research Matters features misinformation expert Claire Wardle, discussing how today’s information ecosystem has become increasingly polluted by misleading and emotionally charged content that spreads faster than facts.
The Communal eXtended-Reality (CXR) system is a cutting-edge blend of the physical and digital worlds in which virtual scenes are overlaid onto the real world, designed to engage communities in new ways.
Cornell’s Scientific Computing Training Series will resume on Oct. 4; the Zoom-based training is available for free to faculty, students and staff at Cornell, Weill Cornell Medicine, Weill Cornell Medicine-Qatar and Cornell Tech.
Students can now choose a new minor in digital agriculture, a multidisciplinary field focused on food and agriculture production systems, but with an increasingly broader span of applications and interests.
A popular strategy for combating misinformation can help people distinguish truth from falsehood – when combined with reminders to focus on accuracy, Cornell-led research finds.
Portobello, a new driving simulator developed by researchers at Cornell Tech, blends virtual and mixed realities, enabling both drivers and passengers to see virtual objects overlaid in the real world.
Experts’ more stringent online reviews have the effect of compressing aggregate ratings by penalizing higher-quality products compared to their lower-quality alternatives. To address this problem, a research team developed a method for de-biasing ratings.