April 14, 2025, 4:20 pm
Apple is revamping its intelligence features by using differential privacy methods to improve its AI without compromising individual user data. The news covers Apple’s multi-faceted approach—from on‑device data conversion and synthetic embeddings, to new privacy‐friendly training techniques—all designed to bolster its intelligence offerings. The company is similarly deploying these methods across its ecosystem, ensuring data remains anonymized via an opt‑in process.
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In the wake of criticism over the underwhelming performance of its AI products, especially in areas like notification summaries, Apple on Monday detailed how it is trying to improve its AI models by analyzing user data privately with the aid of synthetic data. Using an approach called...
Apple is rolling out a new system that processes user data directly on devices in an effort to enhance its AI capabilities while maintaining privacy standards. The article Apple will use your emails to improve AI features without ever seeing them appeared first on THE DECODER.
Apple is working to refine its AI tools by comparing synthetic training data to real-world data—all without compromising user privacy. The post How Apple Plans to Improve Its Synthetic AI Training Data While Safeguarding User Privacy appeared first on MEDIANAMA.
After Apple had to delay its most important Apple Intelligence feature, it seems the company is catching up on what it needs to do to … The post Here’s how Apple plans to fix Apple Intelligence and Siri appeared first on BGR.
On Monday, Apple shared its plans to allow users to opt into on-device Apple Intelligence training using Differential Privacy techniques that are incredibly similar to its failed CSAM detection system.Apple Intelligence to be trained on anonymized user data on an opt-in basisDifferential Privacy is...
Apple says it’s found a way to make its AI models better without training on its users’ data or even copying it from their iPhones and Macs. In a blog post first reported on by Bloomberg, the company outlined its plans to have devices compare a synthetic dataset to samples of recent emails or...
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 improve Siri. To improve Apple Intelligence, Apple has to come up with privacy preserving...
permalink / 10 stories from 9 sources in 15 days ago #ai #ml #dataprivacy #apple #voice #mobile #datascience #edge #analytics
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In recent trading, Supermicro warned of a massive revenue miss—up to $1.5 billion short—triggering a 15% plunge in its share price. Delayed customer orders have conspired with murky forecasts to raise serious questions about performance, leaving investors to wonder if the company’s best days have already sailed. More...
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