A group testing approach for COVID-19 proposed by a Cornell researcher could allow more than 90% of the country to safely return to daily life after a four-week period, a simulation showed.
Machine learning can assess the effectiveness of mathematical tools used to predict the movements of financial markets, according to new Cornell 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.
In a new paper, Cornell Tech researchers identified a problem that holds the key to whether all encryption can be broken – as well as a surprising connection to a mathematical concept that aims to define and measure randomness.
C. Richard Johnson will speak about the field of computational art history and discuss preserving and authenticating the works of Vermeer and Rembrandt Nov. 9.
Uber Technologies Inc. is expected to announce the end of an app feature that allows the company to track riders for up to five minutes after a trip. Karen Levy, professor of information science at Cornell University, studies how law and technology interact to regulate social life, with a particular focus on social and organizational aspects of surveillance.
Thomas Jungbauer, assistant professor of strategy and business economics at the Samuel Curtis Johnson Graduate School of Management at Cornell University, comments on news that Google is testing a censored search engine for the Chinese market.
Cornell researchers developed a first-of-its-kind model to control traffic and intersections in order to increase autonomous car capacity on urban streets, reduce congestion and minimize accidents.
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.
