AI in swift
Generated on 3/18/2025
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At WWDC 2024, Apple introduced several enhancements related to AI in Swift. The Platforms State of the Union session highlighted the integration of AI and machine learning capabilities into Apple's development ecosystem. Key points include:
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Machine Learning Frameworks: Apple offers built-in machine learning frameworks with APIs for natural language processing, sound analysis, speech understanding, and vision intelligence. The Vision framework, in particular, has received a new Swift API, making it easier to integrate computer vision into apps (Platforms State of the Union).
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Swift Assist: This tool is designed to enhance developer productivity by providing predictive code completions in Xcode, marking the beginning of integrating more intelligence into Apple's development tools (Platforms State of the Union).
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Vision Framework Enhancements: The Vision framework now supports Swift concurrency and has a streamlined syntax for Swift, allowing developers to write more performant apps (Discover Swift enhancements in the Vision framework).
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Machine Learning on Apple Platforms: Apple continues to push the boundaries of machine learning and AI, providing APIs powered by Apple models and frameworks to deploy AI models directly on devices (Explore machine learning on Apple platforms).
These updates reflect Apple's commitment to integrating AI and machine learning into its development tools and frameworks, making it easier for developers to create intelligent and efficient applications.
Platforms State of the Union
Discover the newest advancements on Apple platforms.
A Swift Tour: Explore Swift’s features and design
Learn the essential features and design philosophy of the Swift programming language. We’ll explore how to model data, handle errors, use protocols, write concurrent code, and more while building up a Swift package that has a library, an HTTP server, and a command line client. Whether you’re just beginning your Swift journey or have been with us from the start, this talk will help you get the most out of the language.
Discover Swift enhancements in the Vision framework
The Vision Framework API has been redesigned to leverage modern Swift features like concurrency, making it easier and faster to integrate a wide array of Vision algorithms into your app. We’ll tour the updated API and share sample code, along with best practices, to help you get the benefits of this framework with less coding effort. We’ll also demonstrate two new features: image aesthetics and holistic body pose.
Platforms State of the Union 5-Minute Recap
Watch a quick recap of the newest advancements on Apple platforms.
What’s new in SwiftData
SwiftData makes it easy to add persistence to your app with its expressive, declarative API. Learn about refinements to SwiftData, including compound uniqueness constraints, faster queries with #Index, queries in Xcode previews, and rich predicate expressions. Join us to explore how you can use all of these features to express richer models and improve performance in your app. To discover how to build a custom data store or use the history API in SwiftData, watch “Create a custom data store with SwiftData” and “Track model changes with SwiftData history”.
Migrate your app to Swift 6
Experience Swift 6 migration in action as we update an existing sample app. Learn how to migrate incrementally, module by module, and how the compiler helps you identify code that’s at risk of data races. Discover different techniques for ensuring clear isolation boundaries and eliminating concurrent access to shared mutable state.
Swift Charts: Vectorized and function plots
The plot thickens! Learn how to render beautiful charts representing math functions and extensive datasets using function and vectorized plots in your app. Whether you’re looking to display functions common in aerodynamics, magnetism, and higher order field theory, or create large interactive heat maps, Swift Charts has you covered.
Explore machine learning on Apple platforms
Get started with an overview of machine learning frameworks on Apple platforms. Whether you’re implementing your first ML model, or an ML expert, we’ll offer guidance to help you select the right framework for your app’s needs.