Machine Learning
Research at Apple

Recent research

Research highlights

Accelerating LLM Inference on NVIDIA GPUs with ReDrafter

Accelerating LLM inference is an important ML research problem, as auto-regressive token generation is computationally expensive and relatively slow, and improving inference efficiency can reduce latency for users. In addition to ongoing efforts to accelerate inference on Apple silicon, we have recently made significant progress in accelerating LLM inference for the NVIDIA GPUs widely used for production applications across the industry. Earlier…
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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…
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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.

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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.

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