In today’s digital world, personal data is scattered across various platforms, often stored in centralized databases that expose users to security vulnerabilities and privacy risks. HaloHarbor ...

Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental input–output data. This ...

It’s been close to a decade since Amazon Web Services (AWS), Amazon’s cloud computing division, announced SageMaker, its platform to create, train, and deploy AI models. While in previous years AWS ...

Web2’s data monopolies lock users into centralized systems, limiting control over personal information and hindering competition. This decentralized AI personalization protocol offers an alternative.

Behavox, an AI insights company that transforms structured and unstructured corporate data into insights that safeguard and enhance businesses, today announced the launch of its Data Risk Controls and ...

This article provides an overview of privacy controls for consumer AI tools and BC-licensed tools. When Boston College faculty, staff, and students use generative AI tools, the most secure approach is ...

Google is quietly giving advertisers more granular control over how data flows when consent is limited. Driving the news. A new feature called Data Transmission Control is appearing in Google Ads, ...