A predictive model combining information about plant physiology, real-time soil conditions and weather forecasts can save 40% of the water consumed by traditional irrigation strategies, according to new Cornell research.
Like high-frequency traders on Wall Street, a growing army of bots exploit inefficiencies in decentralized exchanges, which are places where users buy, sell or trade cryptocurrency independent of a central authority, a Cornell Tech study has found.
“A Conversation with Geek Girls” featured Heather Cabot, co-author of “Geek Girl Rising,” a book that explores “the sisterhood [that has been] shaking up tech.”
If you want to know what sort of video games you'll be playing next year, stop by at the annual Game Design Initiative at Cornell Showcase from 4 to 7 p.m. Friday, May 19.
A CIS Seminar Series on the Emergence of Intelligent Machines will address a wide range of topics and questions raised by artificial intelligence. The lectures are scheduled for Monday evenings through May 1.
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.