Cornell researchers and collaborators have developed a new framework that allows scientists to predict crop yield without the need for enormous amounts of high-quality data – which is often scarce in developing countries, especially those facing heightened food insecurity and climate risk.
Cornell AI News
News Category
Filter by Topic
AI apps and robots take home awards at BOOM
Apps that use artificial intelligence to help with tutoring, labeling medical images and perfecting your form while exercising, websites that address social issues with technology, and a robot that may one day colonize Mars all won awards at the annual Bits On Our Minds student technology showcase.
People, not design features, make a robot social
Researchers who develop social robots – ones that people interact with – focus too much on design features and not enough on sociological factors, like human-to-human interactions, the contexts where they happen and cultural norms involving robots.
Brooks School Tech Policy Institute focuses on intersection of national security and tech policy
We live in an era in which rapid technological change shifts the global security balance in real time. No one knows that better than Sarah Kreps, director of the Brooks School Tech Policy Institute (BTPI), and John L. Wetherill Professor in the Department of Government in the College of Arts & Sciences.
As Empire AI dawns, Cornell lays groundwork for public good
Empire AI, a $400 million effort to create a shared academic research computing facility, is set to advance dozens of ambitious, cross-disciplinary projects at Cornell.
Cornell Bowers CIS to launch minor in artificial intelligence
Beginning Fall 2024, Cornell undergraduates can minor in artificial intelligence (AI).
Scientists Harness Robots and AI to Revolutionize Farming
Yu Jiang is taking ag research to the next level. From robots to drones to AI, Yu is developing many exciting solutions for the New York farm industry.
DOE funds new research to advance computer chip technology
Cornell researchers are part of a project to enable sustainable hardware for AI and quantum computing, one of 11 projects selected by DOE to receive a total of $73 million.