Use Cases of Machine Learning in an iPhone

Apple is one of the most loved smartphone brands worldwide. Apple’s iPhone is known for productivity, user experience, and privacy. There are a lot of areas where Apple uses Machine Learning to improve the overall user experience of an iPhone. So, if you want to know how Apple uses Machine Learning in iPhones, this article is for you. In this article, I will take you through some of the use cases of Machine Learning in an iPhone.

Use Cases of Machine Learning in an iPhone

Below are some of the use cases of Machine Learning in iPhones that will help you understand how Apple uses Machine Learning in an iPhone.

Recognizing People in Photos

The Photos app in an iPhone uses several Machine Learning algorithms to provide you with a better user experience. One of the algorithms in the Photos app recognizes people from their visual appearance. For example, look at the image shown below.

Photos App using Machine Learning on iPhone
A) Picture showing the identified people at the bottom left. B) People Album. C) Compound person query search. D) Memories pane showing person-specific memories.
Source: Machine Learning Research at Apple

The Photos app on an iPhone creates albums of everyone in your library by recognizing them from your photos and videos. It helps categorize valuable people in your life and create Memories (a feature of the Photos app that automatically makes videos and slideshows centred around different themes).

Keyboard Suggestions

The keyboard in an iPhone learns from what you type to optimize the overall typing experience. A machine learning algorithm is used in an iPhone to learn from what you type on your keyboard over time.

It helps predict the next word, recommends the most relevant emoji you can use instead of the typed words, and improves the overall typing experience to help you make fewer typing mistakes.

Face ID

The Face ID in an iPhone unlocks your iPhone by recognizing your face. It heavily depends on machine learning for accurate face recognition. One of the best features of the Face ID is that it improves dynamically as the facial appearance of a person changes over time. It could have never been possible without using machine learning algorithms in Face ID.

Summary

So these were some of the use cases of machine learning in an iPhone. I hope these use cases have helped you understand how Apple uses machine learning to improve the overall user experience in iPhones. Please feel free to ask valuable questions in the comments section below.

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Aman Kharwal

Coder with the ♥️ of a Writer || Data Scientist | Solopreneur | Founder

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