SwiftUI和ML的结合

At WWDC 2024, Apple presented several sessions that highlight the integration of SwiftUI and machine learning (ML) on their platforms. While there isn't a specific session that directly combines SwiftUI and ML, there are relevant sessions that discuss each technology individually and their capabilities.

1. SwiftUI: SwiftUI is emphasized as a powerful tool for building apps across all Apple devices. It allows developers to focus on describing the UI they want, while SwiftUI handles details like dark mode and dynamic type. This makes it easier to share code across different platforms. For more details, you can refer to the Platforms State of the Union session.

2. Machine Learning: The session "Explore machine learning on Apple platforms" covers how Core ML is used to deploy models on Apple devices, providing performance and simplifying the development workflow. Core ML automatically segments models across CPU, GPU, and neural engine to maximize hardware utilization. This session also introduces new features for running generative AI models on devices. You can explore more in the Explore machine learning on Apple platforms session.

While these sessions do not directly combine SwiftUI and ML, they provide insights into how each can be used effectively on Apple platforms. If you are interested in integrating ML into a SwiftUI app, you would typically use Core ML to handle the machine learning aspects and SwiftUI to build the user interface.