Machine LearningResearch at Apple
Machine Learning
Research at Apple
Research highlights
Ratings and reviews are an invaluable resource for users exploring an app on the App Store, providing insights into how others have experienced the app. With review summaries now available in iOS 18.4, users can quickly get a high-level overview of what other users think about an app, while still having the option to dive into individual reviews for more detail. This feature is powered by a novel, multi-step LLM-based system that periodically…
Read moreApple Machine Learning Research at ICLR 2025
April 21, 2025research area Computer Vision, research area Methods and Algorithms, research area Speech and Natural Language Processingconference ICLR
Apple researchers are advancing machine learning (ML) and AI through fundamental research that improves the world’s understanding of this technology and helps to redefine what is possible with it. To support the broader research community and help accelerate progress in this field, we share much of our research through publications, open source resources, and engagement at conferences.
This week, the Thirteenth International Conference on…
Read moreRecent publications
AuthorsArwen Bradley, Preetum Nakkiran
AuthorsGuy Kornowski†, Daogao Liu†, Kunal Talwar
Events
ACM Human-Computer Interaction Conference (CHI) 2025
April 17, 2025research area Human-Computer Interaction
Apple is presenting new research at the ACM annual conference on Human-Computer Interaction (CHI), which takes place in person in Yokohama, Japan, from April 26 to May 1. We are proud to again sponsor the conference, which brings together the scientific and industrial research communities focused on interactive technology. Below is an overview of Apple’s participation at CHI 2025.
Schedule
Stop by the Apple booth (304 & 305) in the…
Read moreApple 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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