A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial intelligence models—without needing access to the original training data.

In a data-driven world, pauses in government economic data do more than inconvenience economists, they create dangerous blind spots for investors and business leaders.

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A new framework from researchers at The ...

The new framework solves AI's "data bottleneck" by automatically generating high-quality training examples from raw screen ...

In industrial engineering, digital twins—computer models of systems or processes—let scientists try out ideas before finalizing designs. In addition, on the factory floor, twins can model processes in ...