Introduction:In the June 2017, Apple has announced the release of two frameworks, Core ML and ARKit. The Core ML is a Machine Learning API, and ARKit is Augmented Reality SDK. Both are altogether different technologies but have a high significance in shaping the future. To learn their impacts on our life let’s understand both one-by-one.
Core ML – Machine Learning Technology on iOS PlatformApple is working in machine learning (ML) and artificial intelligence (AI) since long and Siri is an apparent result of it. With Core ML, Apple has made Machine Learning for everyone
Apple’s Journey from NLP to MLDuring the period of iOS 5, it has introduced natural language processing (NLP) through NSLinguisticTagger framework, and at the time of iOS 8, the Metal framework arrived with enhanced GPUs capabilities to provide immersive gaming experiences. In 2016, Apple has developed an Accelerated framework to process signals and images using the Basic Neural Networks for Subroutines (BNNS) technologies. Now, it has placed Core ML framework on the top of both Metal and BNNS frameworks. The former two frameworks required a centralized server to process the data for NLP and AI processes. With the intro of Core ML on the top, there is no need to send data outside the devices and the data processing accomplished with powerful A9, A10, and A11 chips. It also strengthens the data security within the iOS devices.
Understanding Core MLTo understand how Core ML is working, we can divide the process into two steps. The first one is the creation of Training Model by applying ML algorithms to the available training data sets. The next one is to convert training model into a file as the Core ML Model file. The Core ML Model file helps developers to integrate high-level AI and ML features. The entire function flow of Core ML API helps to make the system “Intelligent” predictions. For iOS developers, X-code IDE is capable of creating Objective-C/Swift wrapper classes once the model Core ML Model included in the app project. The Core ML model consisting of class labels and input/output as well as can describe the layers in the framework. Apple has made decent efforts to help iOS developers to provide maximum support to develop customized AI and ML solutions with ease and speed.
|Core ML Models||Core ML Model Tools||Core ML Model Supports|
|Apple has unveiled five different Core ML models for third-party developers, such as:
||The Core ML Models also supports other t ools including
||The Core ML Models also supports other ML Models like