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 ...

Artificial intelligence (AI) and machine learning (ML) have the power to deliver business value and impact across a wide range of use cases, which has led to their rapidly increasing deployment across ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Jinsong Yu shares deep architectural insights ...

Looking back on the past twelve months, we will all remember cybersecurity scares, revelations of data malpractices, and countless large-scale data breaches. Allegations ranged from Google’s ...

A key challenge lies in balancing patient privacy with the opportunity to improve future outcomes when training artificial intelligence (AI) models for applications such as medical diagnosis and ...

LOS ANGELES — Privacy concerns may make the mantle of big data weigh heavily on the shoulders of the public sector, but the underlying issues are the ones agencies ...

Computer scientists have discovered an inexpensive way for tech companies to implement a rigorous form of personal data privacy when using or sharing large databases for machine learning. Rice ...

As privacy regulations like GDPR and the California Consumer Privacy Act proliferate, more startups are looking to help companies comply. Enter Preclusio, a member of ...

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 ...

(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 ...