Machine learning has pushed the boundaries in several fields, including personalized medicine, self-driving cars and customized advertisements. Research has shown, however, that these systems memorize ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines. By Daniel Fusch Neel Somani, a ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More During its Build 2020 developer conference, which takes place online this ...

Federated machine learning startup integrate.ai today announced the availability of its privacy-preserving machine learning and analytics platform. The new integrate.ai platform users federated ...

Apple has shared recordings of talks from its workshop about privacy and machine learning, demonstrating how it is considering how to protect user data while it is processed using AI. Apple has ...

Traditionally, companies have relied upon data masking, sometimes called de-identification, to protect data privacy. The basic idea is to remove all personally identifiable information (PII) from each ...

This article was originally featured on The Conversation. Machine learning has pushed the boundaries in several fields, including personalized medicine, self-driving cars and customized advertisements ...

(The Conversation is an independent and nonprofit source of news, analysis and commentary from academic experts.) In statistics and machine learning, the goal is to learn from past data to make new ...