samples with machine learning

Apple's WWDC 2024 introduced several advancements in machine learning, particularly in the Create ML framework. One of the key updates is the introduction of a more powerful general-purpose time series classifier and a new time series forecasting model. These models can be used to predict future values based on historical data, which is useful for applications like sales forecasting in a food truck app.

Additionally, Create ML has enhanced its app with new features for visualizing and debugging annotations, which is crucial for improving model accuracy. For instance, when building an app to detect breakfast items, you can now better visualize and correct annotation issues to avoid duplicate predictions.

Another exciting feature is the introduction of object tracking, designed for spatial computing experiences, particularly on Apple Vision Pro. This allows developers to create immersive experiences by tracking real-world objects and augmenting them with digital content.

For those interested in deploying machine learning models on Apple devices, the session "Deploy machine learning and AI models on-device with Core ML" covers the use of multifunction models and adapters, which allow for efficient model deployment without altering the base model's weights.

For a comprehensive overview of machine learning on Apple platforms, the session "Explore machine learning on Apple platforms" provides insights into leveraging built-in intelligence, customizing apps with ML-powered APIs, and Apple's research initiatives, including open-source frameworks like MLX and Cornet.

Relevant Sessions

• What’s new in Create ML
• Deploy machine learning and AI models on-device with Core ML
• Explore machine learning on Apple platforms