Apple is using new privacy-friendly AI methods to improve features in Apple Intelligence—without ever seeing your private data. According to Apple’s machine learning research website, these tools help ...

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

Instead of mining user data directly, the company is adopting a privacy-focused method known as “differential privacy” to improve Apple Intelligence features such as text generation, Genmoji, and ...

In the wake of criticism over the underwhelming performance of its AI products, especially in areas like notification summaries, Apple on Monday detailed ...

Currently, Apple trains its AI models on synthetic data only, potentially resulting in less helpful responses, according to ...

With its uncompromising focus on user privacy, Apple has faced challenges collecting enough data to train the large language ...

Currently, Apple relies on synthetic data, artificially generated information rather than data from actual users - to train various AI features, such as writing assistants and email summaries. While ...

Differential Privacy is a way to, as Apple puts it, “gain insight into what many Apple users are doing, while helping to ...

The move will mark a shift from the company’s prior exclusive reliance on synthetic data for training AI models.

Currently, Apple uses synthetic data that mimic the structure and characteristics of user-generated content to improve Apple Intelligence-based features ...

A few days ago, a sketchy leak suggested Apple was planning two major changes coming to watchOS 12. A top insider now ...

Meta has announced that it will begin to train its artificial intelligence (AI) models using public data shared by adults across its platforms in the European Union, nearly a year after it paused its ...