What technology has Apple been promoting the longest and most active to the masses? If I were asked this question, I would call augmented reality without hesitation. Despite the fact that the company has not particularly shown itself in this area, the entire top management has been forcing AR for a long time, at each presentation talking about what vast opportunities this technology can offer us. But machine learning in Cupertino for some reason is diligently not mentioned, although in fact, it underlies almost every Apple product, making it better.
Apple uses machine learning technology in a large number of its functions and is constantly increasing its presence. John Giannandrea, senior vice president of the company for the development of machine learning and artificial intelligence, told Ars Technica about this. He went to work for Apple from Google and actually brought the practice of using AI to a qualitatively new level. Despite the use of laboratory intelligence and machine learning in Cupertino and before him, it was Giannandrea who was able to standardize their application and direct them in the right direction.
Machine learning on iOS
Apple today uses machine learning for a wide variety of needs. With its help, the language translation is performed, dictation is recognized, sleep quality is monitored and other mechanisms function that record the user’s health. However, even more, Apple projects that use machine learning affects users only indirectly. This is the formation of maps and panoramas based on lidars and training cars for autonomous driving, which does not require the presence of a live driver.
Why artificial intelligence in smartphones
Frankly, Giannandrea admitted, Apple only actively took up the development of machine learning and artificial intelligence in 2015. Prior to that, the company considered this methodology for improving its systems not sufficiently confidential. The fact is that machine learning is based on the fact that it studies the behavior of many users and, based on the information received, teaches itself. However, Giannandrea’s experience has made it possible to take full advantage of machine learning without sacrificing client privacy.
Perhaps best of all, the development of machine learning and artificial intelligence is noticeable in the example of the cameras of the iPhone 11 line of smartphones . Today, only they offer users the ability to create night photos in excellent quality, which are brightened by special algorithms, creating the impression that the shooting was carried out on professional equipment. Another example is Deep Fusion technology. She processes the frame after creation to improve all its aspects, based on the very technologies of machine learning. Perhaps machine learning is not entirely fair. Still, this technology is aimed at improving everything that it touches. But electricity was once considered a cheat.
