Apple’s Cutting-Edge AI: Unlocking the Power of Machine Learning in iOS
Apple may not be as flashy as other companies in adopting artificial intelligence features. Still, the company already has a lot of smarts scattered throughout iOS. Apple doesn’t explicitly name-drop artificial intelligence or AI, but it has embraced machine learning as its catch-all for AI initiatives.
Machine learning, a system that can learn and adapt without explicit instructions, has become a popular subfield of artificial intelligence. Apple has been incorporating machine learning features into iOS for several years. In 2023, it is using machine learning extensively across the platform.
One of the first use cases of machine learning in iOS was Apple’s software keyboard on the iPhone. By utilizing predictive machine learning, Apple improved the accuracy of its keyboard by predicting which letter a user was hitting and guessing the next word. This feature has been refined over the years and is still present in iOS.
Siri, Apple’s voice assistant, also relies on AI systems to function. Siri taps into on-device Deep Neural Network (DNN) and machine learning to understand queries and provide responses. Users can ask Siri to perform various tasks like playing music, setting timers, and checking the weather.
Apple’s TrueDepth camera and Face ID, introduced with the iPhone X, utilize machine learning to ensure secure facial recognition. The hardware system projects 30,000 infrared dots to create a depth map of the user’s face, which is then processed through machine learning algorithms on the device. This information is stored locally, ensuring data security and privacy.
The stock Photos app on iOS benefits greatly from machine learning algorithms. It uses facial recognition to identify people in images and allows users to search for specific individuals. Moreover, an on-device knowledge graph powered by machine learning learns a user’s frequently visited places, associated people, and events to automatically create curated collections of photos and videos called Memories.
When it comes to improving the camera experience, Apple relies on software and machine learning. The Neural Engine, integrated with the iPhone’s A11 Bionic processor, boosts the capabilities of the camera. Features like Deep Fusion, a neural image processing technique, enhance sharpness and color accuracy in photos.
In iOS 17, Apple has further expanded its use of machine learning. The stock keyboard will now utilize a transformer language model, significantly improving word prediction. Additionally, Apple introduced a new Journal app that uses machine learning to provide suggestions for users as they add entries, drawing from various sources such as recent activity, photos, workouts, and more.
Machine learning also plays a crucial role in other Apple products and platforms. In watchOS, it helps track sleep, hand washing, heart health, and more.
While some may argue that Apple lags behind Google and Microsoft in terms of AI, it is important to note that Apple has been using machine learning and AI in various forms for years. The company continues to invest in the advancement of AI technologies, evident from its focus on artificial intelligence at a recent summit.
Apple’s commitment to machine learning and AI may also lead to advancements in autonomous systems, potentially contributing to the development of the rumored Apple Car.
In conclusion, Apple may not actively advertise its use of artificial intelligence, but it has been incorporating machine learning into iOS for years. From predictive typing and Siri’s intelligent responses to enhanced camera capabilities and curated photo collections, machine learning is at the heart of Apple’s AI initiatives. As Apple continues to innovate, we can expect even more intelligent features in future iOS updates.
