Eli Upfal, Fabio Vandin, and Ben Raphael, from left, are developing Big Data analytical tools that make sense of large datasets and eliminate the noise of data errors. Credit: Mike Cohea/Brown University

By Kevin Stacey

As datasets expand and new generations of faster computers arrive, users urgently require more powerful algorithms to make sense of Big Data. Brown computer scientists have received a $1.5-million award from the National Science Foundation and the National Institutes of Health to conduct research on new analytical tools for Big Data.

Computer scientists from Brown University have been awarded $1.5 million to ...