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Asked on 2024-07-30
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Sessions Mentioned
- Migrate your app to Swift 6
- Platforms State of the Union 5-Minute Recap
- Platforms State of the Union
- Support real-time ML inference on the CPU
- Go small with Embedded Swift
Key Highlights
Swift 6 Migration
- Swift 6 introduces full data isolation enforcement, which helps in identifying and fixing potential data races in your code.
- The migration process involves enabling Swift 6 mode and using compiler diagnostics to guide you through necessary changes.
- The session Migrate your app to Swift 6 provides a detailed strategy for this migration.
Xcode 16 and Swiftassist
- Xcode 16 introduces a new code completion engine powered by generative models, which runs locally on your Mac for fast and private code suggestions.
- Swiftassist is a new feature that helps with coding tasks, answering questions, and experimenting with new APIs. It leverages a powerful model running in the cloud.
- These features are highlighted in the Platforms State of the Union session.
Real-time ML Inference
- The session Support real-time ML inference on the CPU introduces BNNS Graph, which allows for efficient real-time processing on the CPU.
- BNNS Graph optimizes performance and energy efficiency by being aware of the entire model and performing optimizations automatically.
Embedded Swift
- The session Go small with Embedded Swift demonstrates how to use Swift for embedded systems, including interoperability with C-based SDKs and using Swift's features to control hardware components like LEDs.
Additional Resources
- For a quick overview of the major announcements, you can watch the Platforms State of the Union 5-Minute Recap.
If you have any specific questions or need timestamps for particular topics, feel free to ask!

Platforms State of the Union 5-Minute Recap
Watch a quick recap of the newest advancements on Apple platforms.

Go small with Embedded Swift
Embedded Swift brings the safety and expressivity of Swift to constrained environments. Explore how Embedded Swift runs on a variety of microcontrollers through a demonstration using an off-the-shelf Matter device. Learn how the Embedded Swift subset packs the benefits of Swift into a tiny footprint with no runtime, and discover plenty of resources to start your own Embedded Swift adventure.

Support real-time ML inference on the CPU
Discover how you can use BNNSGraph to accelerate the execution of your machine learning model on the CPU. We will show you how to use BNNSGraph to compile and execute a machine learning model on the CPU and share how it provides real-time guarantees such as no runtime memory allocation and single-threaded running for audio or signal processing models.
