Qual o vídeo mais antigo da WWDC que tem no modelo?

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.

Build compelling spatial photo and video experiences

Learn how to adopt spatial photos and videos in your apps. Explore the different types of stereoscopic media and find out how to capture spatial videos in your iOS app on iPhone 15 Pro. Discover the various ways to detect and present spatial media, including the new QuickLook Preview Application API in visionOS. And take a deep dive into the metadata and stereo concepts that make a photo or video spatial.

Accelerate machine learning with Metal

Learn how to accelerate your machine learning transformer models with new features in Metal Performance Shaders Graph. We’ll also cover how to improve your model’s compute bandwidth and quality, and visualize it in the all new MPSGraph viewer.

Platforms State of the Union

Discover the newest advancements on Apple platforms.

Explore multiview video playback in visionOS

Learn how AVExperienceController can enable playback of multiple videos on Apple Vision Pro. Review best practices for adoption and explore great use cases, like viewing a sports broadcast from different angles or watching multiple games simultaneously. And discover how to design a compelling and intuitive multiview experience in your app.

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.