Cornell researchers developed a tool that tracks alertness by measuring pupil size, captured through a burst of photographs taken every time users unlock their smartphones.
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.
The university is launching two new multicollege departments – one in statistics and data science, and one in computational biology – to meet evolving research needs, encourage collaboration, and improve the quality of teaching and learning in these increasingly essential fields.
Diane Levitt, senior director of K-12 education at Cornell Tech, helped local teachers explore ways to integrate computational thinking into their classrooms in a Sept. 28 workshop, “Inspiring a Passion for Computational Thinking,” at Clark Hall.
The Sept. 27-28 symposium “Bridging the Divide: Machine Learning in Medicine,” held at the Cornell Lab of Ornithology, brought together researchers and clinicians from Cornell’s Ithaca campus and Weill Cornell Medicine to discuss recent work and initiate collaborations in the field of machine learning in medicine.
Deborah Estrin, professor of computer science at Cornell Tech and of healthcare policy and research at Weill Cornell Medicine, has been awarded a 2018 MacArthur Foundation fellowship for her innovative work using mobile devices and data to address social challenges.
The Sept. 28-29 Speed Conference, part of Cornell Tech’s new Digital Life Initiative, drew faculty from New York City and Ithaca to explore how humans can keep up with computers’ speed.
The new Artificial Intelligence, Policy, and Practice Initiative will bring together a community of scholars with expertise in computing, the law, social science, communications and philosophy to create opportunities to collaborate on research.
Mobile dating apps that allow users to filter their searches by race – or rely on algorithms that pair up people of the same race – reinforce racial divisions and biases, according to a new paper by Cornell researchers.