Not only did a Cornell CIS research paper receive the best paper award at the Conference on Computer Vision and Pattern Recognition (CVPR 2017), it also got a shoutout on Facebook from the site’s founder, Mark Zuckerberg, July 25.
In response to the call to action for feeding an ever-growing global population, the Cornell Initiative for Digital Agriculture is taking a multidisciplinary approach to the complex challenge.
Researchers have developed a mathematical model to calculate blameworthiness on a scale from zero to one – a tool that potentially could be used to guide the behavior of artificially intelligent agents, such as driverless vehicles, to help them behave in a “moral” way.
An ambitious project that deploys big data and uses machine learning to understand the ecological impacts of hydropower dams in the Amazon Basin started in a mundane enough setting: on the sidelines at youth baseball games.
A Cornell-led project found a way to tune the speed and increase the range of energy flow in organic semiconductors, an approach that could eventually lead to more efficient solar cells, sensors and LEDs.
Students in a new pilot course on Urban Design Strategies aim to improve livability of four NYC locations with the help of augmented- and virtual-reality.
Cornell computer scientists have formed the Center for Data Science for Improved Decision-Making to find ways to handle data responsibly and use it as a resource for the public benefit.
Graduate and undergraduate students from Cornell’s social sciences fields are increasingly sought after by tech companies searching for employees who understand social processes, psychology, sociology and economics, but also have real-world data-science skills.