Why You Need Apple iOS 11

Today iOS 11 has become the most interesting and standard world’s most advanced mobile operating system. With iOS 11 your apps become more intelligent because of the power of machine learning and  Core ML integrated into the software. when using Apple iOS 11 you can easily create incredible augmented reality experiences with ARKit.

 You will also be able to deliver a more unified and immersive user experience with new multitasking features, including drag and drop for iPad, the new Files app, new camera APIs, new SiriKit domains, Apple Music integration, and more.
 Apple iOS11 Developers have built amazing operating system into iOS 11. This software allows you to use your mobile device to the fullest, including the camera, GPS, and sensors to connect to the real world apart from one’s mentioned above. These features are beautiful and immersive, with Material Design and smooth animations running at 60 frames per second. 
Today you have access to identity and payments to create seamless experiences.
But yet Apple developers tell us they wish they could bring users into their apps more quickly and easily. With the web, so that you can click on a link and land on a web page — it takes one click and just a few seconds. It should be easier for users to access a wider range of what apple has in store for its users, and for them to reach even more people.
Today we are experiencing more intelligent apps with machine learning.
Take advantage of Core ML a new foundational machine learning framework used across Apple products, including Siri, Camera, and QuickType. Core ML delivers blazingly fast performance with easy integration of machine learning models enabling you to build apps with intelligent new features using just a few lines of code.
A Brief Of What’s New With Apple iOS 11
With Apple’s Core ML integrated into iOS 11 you can integrate a broad variety of machine learning model types into your app on your own. In addition to supporting extensive deep learning with over 30 layer types, it also supports standard models such as tree ensembles, SVMs, and generalized linear models. Because it’s built on top of low level technologies like Metal and Accelerate, Core ML seamlessly takes advantage of the CPU and GPU to provide maximum performance and efficiency. You can run machine learning models on the device so data doesn’t need to leave the device to be analyzed.

Face tracking and detection.

As a result of iOS 11 you  can easily build computer face tracking machine learning features into your app. Supported features include face tracking, face detection, landmarks, text detection, rectangle detection, barcode detection, object tracking, and image registration.
Natural Language Processing
The natural language processing APIs in Foundation use machine learning to deeply understand text using features such as language identification, tokenization, lemmatization, part of speech, and named entity recognition.

Leave a Reply

Your email address will not be published. Required fields are marked *