Machine Learning
Research at Apple

Research highlights

Mac with Apple silicon is increasingly popular among AI developers and researchers interested in using their Mac to experiment with the latest models and techniques. With MLX, users can explore and run LLMs efficiently on Mac. It allows researchers to experiment with new inference or fine-tuning techniques, or investigate AI techniques in a private environment, on their own hardware. MLX works with all Apple silicon systems, and with the latest…

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A recent paper from Apple researchers, “The Super Weight in Large Language Models,” reveals that an extremely small subset of parameters in LLMs (in some cases, a single parameter) can exert a disproportionate influence on an LLM’s overall functionality (see Figure 1). This work highlights the critical role of these “super weights” and their corresponding “super activations,”…

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Recent publications

Apple is presenting new work at the annual Empirical Methods in Natural Language Processing (EMNLP) conference, which takes place in person from November 4 - 9, in Suzhou, China. EMNLP focuses on research surrounding the science and technology of spoken language processing.

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Apple is presenting new work at the biennial International Conference on Computer Vision (ICCV), which takes place in person from October 19 to 23, in Honolulu, Hawai’i. The conference alternates each year with the European Conference on Computer Vision (ECCV), and focuses on important topics the field of computer vision.

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