Mark Zuckerberg gives CIS research paper a shoutout

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.

Fulbright recipients head off to global destinations

Fourteen Cornell students and recent alumni are setting out this fall for destinations around the world, thanks to grants from the Fulbright U.S. Student Program.

Cornell Tech fortifies computer science ed in Ithaca area

Cornell Tech hosted a workshop Aug. 8-9 in Gates Hall, helping eight local school districts and a cooperative educational service agency create plans to integrate computer science education throughout the entire school day.

Computer 'anthropologists' study global fashion

Cornell computer science researchers are figuring out ways to analyze billions of photographs uploaded to photo-sharing services through deep-learning methods.

Students conduct research in Asia with travel grants

Six students are researching fencing, teaching English, exploring how regions recover from natural disasters, and immersing themselves in Asian languages, thanks to grants from the Department of Asian Studies in the College of Arts and Sciences.

Alumnus returns to Cornell as Tisch University Professor

Lorenzo Alvisi, M.S. '94, Ph.D. '96, and Cornell's newest Tisch University Professor, has found that all doors eventually lead back to Cornell.

Two groups both win $7.5M to study AI, autonomous systems

Research teams led by professors Robert Bruce van Dover and Hadas Kress-Gazit have both been granted up to $7.5 million from the U.S. Department of Defense for autonomous systems and AI research.

China scholarship honors John Hopcroft

John Hopcroft, the IBM Professor of Engineering and Applied Mathematics, has been honored by the establishment of a scholarship in his name at Shanghai Jiao Tong University in China.

Collaboration across (baseball) fields leads to Amazonian rivers

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.