What’s new in ml
Asked on 06/16/2025
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At WWDC, Apple introduced several updates and new features related to machine learning across its platforms. Here are some highlights:
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Create ML Enhancements: The "What’s new in Create ML" session introduced enhancements to the Create ML app, including new templates for object tracking on Apple Vision Pro and components for building custom time series forecasting and classification models. What’s new in Create ML
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Core ML Updates: Core ML continues to be a key framework for deploying machine learning models on Apple devices. New features include the ML tensor type for simplifying model integration, multifunction models, and updated performance tools. Deploy machine learning and AI models on-device with Core ML
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Metal 4 for ML and Graphics: Metal 4 introduces new features for integrating machine learning workloads into graphics pipelines, including the ML command encoder and ShaderML. These updates allow for seamless integration and optimization of ML tasks with graphics workloads. Combine Metal 4 machine learning and graphics
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MLX for Apple Silicon: MLX is a new framework designed to leverage Apple Silicon's unified memory architecture, allowing for efficient operations across CPU and GPU. It supports advanced machine learning tasks and is available in multiple programming languages. Get started with MLX for Apple silicon
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Exploration and Research: Apple provides tools and resources for exploring the latest advancements in machine learning, including support for large models and unique architectures. The MLX framework and other open-source initiatives are part of this effort. Explore machine learning on Apple platforms
These updates reflect Apple's ongoing commitment to enhancing machine learning capabilities across its ecosystem, providing developers with powerful tools to create innovative applications.
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.
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.
Combine Metal 4 machine learning and graphics
Learn how to seamlessly combine machine learning into your graphics applications using Metal 4. We’ll introduce the tensor resource and ML encoder for running models on the GPU timeline alongside your rendering and compute work. Discover how shader ML lets you embed neural networks directly within your shaders for advanced effects and performance gains. We’ll also show new debugging tools for Metal 4 ML workloads in action using an example app.