Researchers at Cornell have developed a highly accurate mathematical approach to predict the behavior of crowds of living creatures.
Cornell research has improved bike sharing in New York and other cities, providing tools to ensure bikes are available when and where they’re needed through a crowdsourcing system that uses real-time information to make decisions.
SIAM’s highest honor recognizes outstanding contributions to the field of applied mathematics.
A new taxi dispatching approach could cut the number of cars on the road while meeting rider demand.
Award presented for “OceanStore: An Architecture for Global-Scale Persistent Storage.”
NASA has just greenlighted a project from Cornell University that is truly mind-blowing.
As Facebook's artificial intelligence technology gets smarter and more important to the social network's sprawling business, the company is working to keep its AI systems from ethical lapses. The company has built a system called Fairness Flow that can measure for potential biases for or against particular groups of people, research scientist Isabel Kloumann said at Facebook's F8 conference on Wednesday.
At Facebook’s annual developer conference this month, data scientist Isabel Kloumann described a kind of automatic adviser for the company’s engineers called Fairness Flow. It measures how machine-learning software analyzing data performs on different categories—say men and women, or people in different countries—to help expose potential biases.