Machine LearningResearch at Apple
Machine Learning
Research at Apple
Research highlights
Our next generation of Apple Intelligence is centered around our users, integrated deeply into our operating systems, and powered by a bold new architecture with privacy at its core.
Recurrent Neural Networks (RNNs) are naturally suited to efficient inference, requiring far less memory and compute than attention-based architectures, but the sequential nature of their computation has historically made it impractical to scale up RNNs to billions of parameters. A new advancement from Apple researchers makes RNN training dramatically more efficient — enabling large-scale training for the first time and widening the set of…
Recent publications
AuthorsHarish Karumuri, Mahesh Vemula, David Lopes Pegna
AuthorsChacha Chen‡, Matthew Jörke†‡**, Adam Goliński, Masha Fedzechkina, Guillermo Sapiro, Sinead Williamson, Nicholas Foti
Events
Apple is presenting new research at the European Conference on Computer Vision (ECCV), which takes place in Malmö, Sweden, from September 8–12. 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 2026.
Apple is presenting new research at the International Conference on Machine Learning (ICML 2026), which takes place in person in Seoul, South Korea, from July 6 – 11. We are proud to again sponsor the conference, which focuses on presenting and publishing cutting-edge research in machine learning, artificial intelligence, statistics, data science, and related application areas like machine vision, computational biology, and robotics. Below is an overview of Apple’s participation at ICML 2026.
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