corelocation

Generated on 9/11/2024

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It seems like you're interested in CoreLocation, but the provided context doesn't include specific information about CoreLocation from the WWDC sessions. However, I can provide information on related topics such as machine learning, AI models, and memory management discussed at WWDC 2024.

For example, if you're interested in machine learning on Apple platforms, you might want to check out the session titled "Deploy machine learning and AI models on-device with Core ML," which covers new features in Core ML that help efficiently deploy and run machine learning models on devices. You can explore the session here.

If you have any specific questions about these topics or need information on a different aspect of WWDC, feel free to ask!

What’s new in Xcode 16

What’s new in Xcode 16

Discover the latest productivity and performance improvements in Xcode 16. Learn about enhancements to code completion, diagnostics, and Xcode Previews. Find out more about updates in builds and explore improvements in debugging and Instruments.

Analyze heap memory

Analyze heap memory

Dive into the basis for your app’s dynamic memory: the heap! Explore how to use Instruments and Xcode to measure, analyze, and fix common heap issues. We’ll also cover some techniques and best practices for diagnosing transient growth, persistent growth, and leaks in your app.

Bring your machine learning and AI models to Apple silicon

Bring your machine learning and AI models to Apple silicon

Learn how to optimize your machine learning and AI models to leverage the power of Apple silicon. Review model conversion workflows to prepare your models for on-device deployment. Understand model compression techniques that are compatible with Apple silicon, and at what stages in your model deployment workflow you can apply them. We’ll also explore the tradeoffs between storage size, latency, power usage and accuracy.

Explore machine learning on Apple platforms

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.

What’s new in Create ML

What’s new in Create ML

Explore updates to Create ML, including interactive data source previews and a new template for building object tracking models for visionOS apps. We’ll also cover important framework improvements, including new time-series forecasting and classification APIs.

Deploy machine learning and AI models on-device with Core ML

Deploy machine learning and AI models on-device with Core ML

Learn new ways to optimize speed and memory performance when you convert and run machine learning and AI models through Core ML. We’ll cover new options for model representations, performance insights, execution, and model stitching which can be used together to create compelling and private on-device experiences.

Discover Swift enhancements in the Vision framework

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.

Dive deep into volumes and immersive spaces

Dive deep into volumes and immersive spaces

Discover powerful new ways to customize volumes and immersive spaces in visionOS. Learn to fine-tune how volumes resize and respond to people moving around them. Make volumes and immersive spaces interact through the power of coordinate conversions. Find out how to make your app react when people adjust immersion with the Digital Crown, and use a surrounding effect to dynamically customize the passthrough tint in your immersive space experience.