Nearly two years after launching, the Praxis Center for Venture Development is reconfiguring its structure to reflect the growth of engineering startups at Cornell and their specialized needs.
A Cornell-led team has developed a way to use machine learning to analyze data generated by scanning tunneling microscopy, yielding new insights into how electrons interact and showing how machine learning can be used to further discovery in experimental quantum physics.
Researchers have developed a mathematical model to calculate blameworthiness on a scale from zero to one – a tool that potentially could be used to guide the behavior of artificially intelligent agents, such as driverless vehicles, to help them behave in a “moral” way.
Just 10 taxis equipped with mobile sensors can survey a third of Manhattan’s streets in a day, inexpensively gathering valuable data about factors such as air quality, street conditions and bridge stability to provide an accurate and timely snapshot of a city’s health, according to a new study including a Cornell researcher.
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.
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.
The third annual Cornell Digital Agriculture workshop, Oct. 30 in the Statler Hotel, will bring together stakeholders across disciplines to solve the biggest problems in agriculture and food systems.
Twelve graduate students will spend this year refining their dissertation plans and testing the waters of global research with help from the Einaudi-SSRC Dissertation Proposal Development Program.