Machine LearningResearch at Apple
Machine Learning
Research at Apple
Research highlights
Apple is advancing AI and ML with fundamental research, much of which is shared through publications and engagement at conferences in order to accelerate progress in this important field and support the broader community. This week, the Fourteenth International Conference on Learning Representations (ICLR) will be held in Rio de Janeiro, Brazil, and Apple is proud to again participate in this important event for the research…
Apple Machine Learning Research at NeurIPS 2025
November 21, 2025
Apple researchers advance AI and ML through fundamental research, and to support the broader research community and help accelerate progress in this field, we share much of this work through publications and engagement at conferences.
Recent publications
AuthorsKaichao You**†, Runsheng Bai†, Meng Cao, Jianmin Wang†, Ion Stoica‡, Mingsheng Long†
AuthorsDeepro Choudhury†, Sinead Williamson, Adam Goliński, Ning Miao‡, Freddie Bickford Smith†, Michael Kirchhof, Yizhe Zhang, Tom Rainforth†
Events
Apple is presenting new research at the annual International Conference on Learning Representations (ICLR), which takes place in person in Rio de Janeiro, Brazil, from April 23 to 27. We are proud to again sponsor the conference, which brings together the scientific and industrial research communities focused on deep learning. Below is an overview of Apple’s participation at ICLR 2026.
ACM Human-Computer Interaction Conference (CHI) 2026
April 10, 2026research area Human-Computer Interaction
Apple is presenting new research at the annual ACM (Association of Computing Machinery) CHI Conference on Human Factors in Computing Systems, which takes place in person in Barcelona, Spain, from April 13 to 17. We are proud to again sponsor the conference, which brings together the scientific and industrial research communities focused on human-computer interaction. Below is an overview of Apple’s participation at CHI 2026.
Discover opportunities in Machine Learning.
Our research in machine learning breaks new ground every day.