Machine Learning
Research at Apple

Recent research

Research highlights

Understanding Aggregate Trends for Apple Intelligence Using Differential Privacy

At Apple, we believe privacy is a fundamental human right. And we believe in giving our users a great experience while protecting their privacy. For years, we’ve used techniques like differential privacy as part of our opt-in device analytics program. This lets us gain insights into how our products are used, so we can improve them, while protecting user privacy by preventing Apple from seeing individual-level data from those users. This same…
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Controlling Language and Diffusion Models by Transporting Activations

Large generative models are becoming increasingly capable and more widely deployed to power production applications, but getting these models to produce exactly what's desired can still be challenging. Fine-grained control over these models' outputs is important to meet user expectations and to mitigate potential misuses, ensuring the models' reliability and safety. To address these issues, Apple machine learning researchers have developed a new…
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All events

International Conference on Learning Representations (ICLR) 2025

Apple will be sponsoring the International Conference on Learning Representations (ICLR), which will take place in person from April 24 to 28, 2025, in Singapore. ICLR brings together professionals dedicated to the advancement of deep learning.

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Apple Workshop on Natural Language Understanding 2024

Progress in natural language processing enables more intuitive ways of interacting with technology. For example, many of Apple’s products and services, including Siri and search, use natural language understanding and generation to enable a fluent and seamless interface experience for users. Natural language is a rapidly moving area of machine learning research, and includes work on large-scale data curation across multiple languages, novel…
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