Machine Learning
Research at Apple.

Recent papers.

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Learning Insulin-Glucose Dynamics in the Wild

research area Healthconference MLHCPublished year 2020
AuthorsAndrew C. Miller, Nicholas J. Foti, Emily Fox
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MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering

research area Speech and Natural Language Processing, research area Knowledge Bases and SearchPublished year 2020
AuthorsShayne Longpre, Yi Lu, Joachim Daiber
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Double-talk Robust Multichannel Acoustic Echo Cancellation Using Least Squares MIMO Adaptive Filtering: Transversal, Array, and Lattice Forms

research area Methods and AlgorithmsPublished year 2020
AuthorsSarmad Malik, Jason Wung, Joshua Atkins, Devang Naik
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Improving Discrete Latent Representations With Differentiable Approximation Bridges

research area Computer Vision, research area Methods and Algorithmsconference IJCNNPublished year 2020
AuthorsJason Ramapuram, Russ Webb
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Updates and events.

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Introducing the AI/ML residency program

The AI/ML residency program invites experts in various fields to apply their expertise to build revolutionary machine learning and AI empowered products and experiences.

Apple's on-device machine learning enables intelligent experiences across our integrated hardware, software, and services. As these intelligent experiences solve our users' problems across disciplines, the need for domain experts to understand machine learning grows. This is why the AI/ML residency program aims to immerse these experts in the ML space.

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Apple at SIGIR 2020

Apple is sponsoring the forty-third Special Interest Group on Information Retrieval (SIGIR) Conference, which will be held virtually from July 25 to 30. SIGIR is a leading international forum focused on presenting new research in the informational retrieval field.

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