Machine Learning
Research at Apple

Recent research

Research highlights

On Device Llama 3.1 with Core ML

Many app developers are interested in building on device experiences that integrate increasingly capable large language models (LLMs). Running these models locally on Apple silicon enables developers to leverage the capabilities of the user's device for cost-effective inference, without sending data to and from third party servers, which also helps protect user privacy. In order to do this, the models must be carefully optimized to effectively…
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Combining Machine Learning and Homomorphic Encryption in the Apple Ecosystem

At Apple, we believe privacy is a fundamental human right. Our work to protect user privacy is informed by a set of privacy principles, and one of those principles is to prioritize using on-device processing. By performing computations locally on a user’s device, we help minimize the amount of data that is shared with Apple or other entities. Of course, a user may request on-device experiences powered by machine learning (ML) that can be enriched…
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All events

Empirical Methods in Natural Language Processing (EMNLP) 2024

Apple is presenting new research at the Empirical Methods in Natural Language Processing (EMNLP) conference, which takes place in person in Miami, Florida, from November 12 - 16. We are proud to again sponsor the conference, which brings together the scientific and industrial research communities around natural language processing and artificial intelligence. Below is an overview of Apple’s participation at EMNLP 2024.

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European Conference on Computer Vision (ECCV) 2024

Apple is presenting new research at the European Conference on Computer Vision (ECCV), which takes place in person in Milan, Italy, from September 29 - October 4. We are proud to again sponsor the biennial conference, which brings together the scientific and industrial research communities around ML and computer vision. Below is an overview of Apple’s participation at ECCV 2024.

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