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A New Study Shows That An Apple Watch Can Help To...

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This Article Is Based On The Research 'Evaluation of ECG Transmission and AI Models Using Apple Watch ECGs and Symptoms Data Collected Using a...

Apple ML Researchers Develop ‘Neo’: A Visual Analytics System That Enables...

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This Article Is Based On The Research Paper 'Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels'. All Credit For This Research Goes...

Apple ML Research: Private On-Device Machine Learning to Recognize People in...

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This research summary articles is based on the article from Apple ML team 'Recognizing People in Photos Through Private On-Device Machine Learning' Please don't forget...

Researchers from U Texas and Apple Propose a Novel Transformer-Based Architecture...

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This research summary article is based on the research paper 'Global Tracking Transformers'. Multi-object tracking aims to locate and track all objects in a video...

Apple ML Researchers Introduce ‘MobileViT’: A Light-Weight And General-Purpose Vision Transformer...

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To learn visual representations, self-attention-based models, particularly vision transformers, offer an alternative to convolutional neural networks (CNNs). ViT breaks an image into a series...

Apple ML Researchers Introduce ARKitScenes: A Diverse Real-World Dataset For 3D...

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Understanding indoor 3D scenes are becoming increasingly important in augmented reality, robotics, photography, games, and real estate. Many state-of-the-art scene interpretation algorithms have lately...

Apple Researchers Propose A Method For Reconstructing Training Data From Diverse...

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Model inversion (MI), where an adversary abuses access to a trained Machine Learning (ML) model in order to infer sensitive information about the model's...

Apple AI Researchers Propose ‘Plan-then-Generate’ (PlanGen) Framework To Improve The Controllability...

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In recent years, developments in neural networks have led to the advance of data-to-text generation. However, their inability to control structure can be limiting...

A New Apple AI Study Investigates Whether Self-Supervised and Supervised Methods...

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Self-supervised learning (SSL) is an ML technique that allows computers to predict unknown inputs using observed inputs. One essential goal for self-supervised learning is...

Apple’s Machine Learning Team Introduces ‘GSN’, A Generative Model Which Learns...

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When it comes to the spatial understanding of a scene when observed from any viewpoint or orientation, most geometry and learning-based approaches for 3D...
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