This tutorial walks through creating a custom iOS SMS spam filter app, covering extraction of personal SMS data from an iPhone backup, training a CoreML text‑classification model with CreateML, implementing a Message Filter Extension in Xcode, and exploring advanced update strategies.
This guide shows how to recreate iOS 16’s lock‑screen Depth Effect by integrating Apple’s pre‑trained DeeplabV3 CoreML model with Vision, running a VNCoreMLRequest on a resized image in a background thread, converting the output to a binary mask, and overlaying it on the original photo to simulate foreground‑background depth, with code examples and GitHub source.
Developers built a lightweight on‑device CNN that recognizes PUBG Mobile kill counts and player numbers in real time, merging MNIST and custom digit data, shrinking the model to under 500 KB, achieving over 99 % accuracy with sub‑10 ms latency, and deploying it via CoreML on iOS and TensorFlow Lite on Android for cross‑platform live‑stream integration.
The article outlines emerging iOS development trends for 2018, including ARKit-powered augmented reality, CoreML machine‑learning integration, Swift 4 enhancements, Apple Pay adoption, and HomeKit home‑automation, while reflecting on 2017's device releases and iOS 11 updates.
The article shares a developer’s experience at WWDC 2017, highlighting Xcode 9’s new Swift support, Wi‑Fi debugging, iOS 11 requirements, CoreML and ARKit introductions, and practical advice for presenting apps to Apple’s design team.
Three Liulishuo iOS engineers attended WWDC 2017 and report on Apple’s new iPad productivity features, App Store redesign, Swift updates, Xcode enhancements, and the introduction of CoreML, ARKit, and HomePod, offering developers valuable insights into the evolving iOS ecosystem.
