Students’ hot new ice cream offers pinch of cayenne

Sweet meets heat in “We Cayenne Change the World,” a rich, velvety chocolate ice cream, with a burst of cayenne pepper. Get an extra scoop, as it won Cornell’s annual Food Science 1101 final project.

Two computer science faculty named ACM fellows

Kavita Bala, professor and chair of computer science, and Claire Cardie, professor of computer science and of information science, have been named 2019 fellows of the Association for Computing Machinery.

Are hiring algorithms fair? They’re too opaque to tell, study finds

New research from a team of Computing and Information Science scholars raises questions about hiring algorithms and the tech companies who develop and use them.

CS undergrads’ research sets sights on image hackers

Four undergraduates recently presented their research – conducted with the help of equipment donations from Facebook – at a major conference on computer vision.

New center will foster data science research

Cornell’s Center for Data Science for Enterprise and Society, launching this fall and led by David Shmoys, will enhance research in the increasingly important field of data science.

Online birth stories reveal power imbalances

Cornell researchers performed a computational analysis on nearly 3,000 online birth stories, shedding light on new mothers’ feelings of powerlessness.

Expert: Design information networks that support democracy

Improved mediation and curation could strengthen the search engines and social media platforms dominating today's information ecosystem, Northeastern University's David Lazer said Oct 24 during the Cornell Center for Social Sciences’ Distinguished Lecture in the Social Sciences.

Transaction fees change the culture of bitcoin, study says

Bitcoin transaction fees keep the cryptocurrency functioning, but may threaten its long-term viability and contribute to its energy waste, according to a new study from Cornell researchers.

AI tool detects global fashion trends

A new artificial intelligence tool developed by Cornell researchers scans millions of publicly available photos to effectively identify fashion trends around the world, as well as traditions and events with signature styles.