Meet the new twist on data encryption that promises better privacy and security for AI

AI and privacy needn't be mutually exclusive. After a decade in the labs, homomorphic encryption (HE) is emerging as a top way to help protect data privacy in machine learning (ML) and cloud computing. It's a timely breakthrough: Data from ML is doubling yearly. At the same time, concern about related data privacy and security is growing among industry, professionals and the public. "It doesn't have to be a zero-sum game," says Casimir Wierzynski, senior director, office of the CTO, AI Products Group at Intel.