Machine Learning
Research at Apple

Apple Machine Learning Research at NeurIPS 2024

Apple researchers are advancing the field of ML through fundamental research that improves the world’s understanding of this technology and helps to redefine what is possible with it. This work may lead to advancements in Apple's products and services, and the benefits of the research extend beyond the Apple ecosystem as it is shared with the broader research community through publication, open source resources, and engagement at industry and…
See highlight details

Recent research

Explore all research

BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale

content type paperresearch area Knowledge Bases and Search, research area Methods and Algorithmsconference AAAIPublished year 2024
AuthorsRandy Ardywibowo, Rakesh Sunki, Lucy Kuo, Sankalp Nayak
Read paper

Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models

content type paperresearch area Fairness, research area Speech and Natural Language Processingconference NeurIPSPublished year 2024
AuthorsNatalie Mackraz*, Nivedha Sivakumar*, Samira Khorshidi, Krishna Patel, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
Read paper

Explore all research

Research highlights

View all 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…
See highlight details

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…
See highlight details

View all highlights

All events

View all events

Neural Information Processing Systems (NeurIPS) 2024

Apple is presenting new research at the annual conference on Neural Information Processing Systems (NeurIPS), which takes place in person in Vancouver, Canada, from December 10 - 15. We are proud to again sponsor the multi-track interdisciplinary conference, which brings together the scientific and industrial research communities surrounding Machine Learning. Below is an overview of Apple’s participation at NeurIPS 2024.

See event details

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.

See event details

View all events