Machine learning
Generated on 9/28/2024
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Apple's WWDC 2024 featured several sessions focused on machine learning and AI, highlighting the advancements and tools available for developers on Apple platforms. Here are some key points from the sessions:
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Platforms State of the Union: This session discussed the integration of machine learning frameworks that offer capabilities in natural language processing, sound analysis, speech understanding, and vision intelligence. It emphasized the new Swift API for the Vision framework and the ability to extend these frameworks using Create ML for custom data training. Additionally, it covered the use of Core ML for running AI models on iOS, iPadOS, and macOS, and the optimization of model execution using Apple's hardware. Platforms State of the Union
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Explore machine learning on Apple platforms: This session provided an overview of machine learning products and offerings, focusing on leveraging built-in intelligence and customizing apps with ML-powered APIs. It also highlighted Apple's research initiatives and open-source contributions, such as MLX, which facilitate exploration and development on Apple silicon. Explore machine learning on Apple platforms
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What’s new in Create ML: This session introduced enhancements to the Create ML app, which allows developers to train models with ease. It discussed the use of system domain frameworks like Vision, Natural Language, and Sound Analysis to customize models for specific use cases. The session also covered the app's ability to create models for image, video, and audio data. What’s new in Create ML
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Deploy machine learning and AI models on-device with Core ML: This session focused on integrating and running machine learning models on Apple devices using Core ML. It introduced new features like the ML tensor type and performance tools to help developers optimize model execution. Deploy machine learning and AI models on-device with Core ML
These sessions collectively provide a comprehensive view of the machine learning capabilities available on Apple platforms, emphasizing on-device processing, privacy, and performance optimization.
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
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.
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.
Platforms State of the Union
Discover the newest advancements on Apple platforms.