A team of Cornell researchers used AI to investigate what sets originals apart from their reflections, and their algorithms learned to pick up unexpected clues.
Mehrnaz Sabet, Mokshin Suri and Ruben Trujillo make up the latest cohort of the Cornell Engineering Commercialization Fellowship, a program that helps researchers evaluate their technology through a business lens.
Exotanium, a software startup founded by Cornell researchers and based on technology licensed through Cornell’s Center for Technology Licensing, completed a $5 million seed funding round. Its cloud-optimization tools help companies reduce wasteful spending on cloud storage.
The funding will support preliminary disease-related research, in the latest in a series of efforts to create new opportunities for interdisciplinary research.
Cornell researchers have developed an automated system that uses machine learning, data analysis and human feedback to automatically verify statistical claims about the new coronavirus.
A new open-source computer model being developed by a Cornell-led interdisciplinary team will simulate production and quantify the environmental effects of management decisions made on dairy farms.
An atlas that catalogues gene activity and the levels of small molecules called metabolites in tumor samples offers a new way of identifying the deep mechanisms of cancer.
In a new paper, Cornell researchers introduce a tool they’ve developed to improve the fairness of online rankings without sacrificing their usefulness or relevance.