Apple's AI receives assistance from your iPhone, discover the workings here
Apple is set to introduce a new strategy aimed at enhancing its AI models while maintaining privacy commitments. This strategy, which is expected to be rolled out in the next beta versions of macOS 15.5 and iOS 18.5, focuses on improving Apple's synthetic training data.
The new strategy employs a privacy-preserving system that uses tiny samples of recent user emails on devices that have opted into Device Analytics. This system does not provide Apple access to user identities or specific emails. Instead, it employs a technique known as embeddings, which represent emails according to their language, topic, and length.
The system compares these embeddings with synthetic messages on the device, allowing Apple to determine which synthetic messages most closely resemble typical communication patterns without accessing real emails or device identities. This approach is made possible by the use of differential privacy, a technique that Apple has been working with since 2020.
The new strategy is expected to enhance AI-backed features like Siri and email summarization across all applications, including Mail and Notes. However, there are drawbacks to using synthetic data, particularly for complex tasks like long-form summarization.
Ashish Singh, the Chief Copy Editor at the platform, has been working with tech jargon since 2020. Outside of work, Ashish's interests include fueling his gadget habit with coffee, strategizing his next virtual race, and planning road trips to test the latest in-car tech.
In the past, Apple has historically trained its AI models using synthetic data or artificially generated content. The company has shown a commitment to the protection of user privacy and security, having previously worked for Times Internet and Jagran English.
It is worth noting that this new strategy is not related to the price drops of the iPhone 16 Plus or OnePlus 12. Apple's continuous investment in research and development, particularly in AI and data privacy, is likely to be led by internal experts specialised in artificial intelligence and data privacy. Occasionally, Apple collaborates with external partners or research institutions to develop or improve new technologies. Regular tests and beta version cycles are also conducted to ensure the stability and safety of new features before they are integrated into the main versions of macOS and iOS.
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