Apple is looking to synthetic data to boost its AI models while maintaining data privacy of its users as it races to catch up ...

Apple recently outlined several methods it plans to use to improve Apple Intelligence while maintaining user privacy.

Apple is plotting to catch up in the AI race by gathering user data and testing its AI models—all while prioritizing user ...

With its uncompromising focus on user privacy, Apple has faced challenges collecting enough data to train the large language models that power Apple Intelligence features and that will ultimately ...

Discover how Apple Intelligence balances privacy with storage and battery demands. Learn tips to optimize your iPhone's ...

Apple’s differential privacy technique will allow it to analyse user data patterns without seeing individual-level user data.

Apple has been using differential privacy for nearly ten years to collect its users data in a way that isn’t traceable back to an individual. As Apple explains in a recent post on its Machine Learning ...

Apple detailed yesterday how it plans to improve its AI training practices by using users’ data in a way that respects their ...

Apple writes that its "differential privacy" approach works by first generating synthetic data to mimic the format and ...

In order to improve the performance of such Apple Intelligence, Apple explains 'how to use user data to improve AI while protecting privacy.' In a blog post, Apple said, 'At Apple, we believe ...