How do I create a virtual machine on a macbook?
Generated on 8/2/2024
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To create a virtual machine on a MacBook, you can use various tools and methods. However, the context provided from the WWDC sessions does not directly address creating virtual machines. Instead, it focuses on machine learning, object tracking, and other development tools on Apple platforms.
If you are interested in machine learning and development on Apple platforms, here are some relevant sessions you might find useful:
- What’s new in Create ML - This session provides an overview of CreateML, which is a tool for building and deploying machine learning models on Apple devices.
- Explore object tracking for visionOS - This session covers how to create reference objects and anchor virtual content using CreateML and other tools.
- Explore machine learning on Apple platforms - This session discusses running machine learning models on Apple devices, including the use of frameworks like Core ML.
For creating virtual machines specifically, you might want to look into tools like Parallels Desktop, VMware Fusion, or Apple's own Hypervisor framework, which are not covered in the provided WWDC context.
Explore object tracking for visionOS
Find out how you can use object tracking to turn real-world objects into virtual anchors in your visionOS app. Learn how you can build spatial experiences with object tracking from start to finish. Find out how to create a reference object using machine learning in Create ML and attach content relative to your target object in Reality Composer Pro, RealityKit or ARKit APIs.
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.
Customize spatial Persona templates in SharePlay
Learn how to use custom spatial Persona templates in your visionOS SharePlay experience to fine-tune the placement of Personas relative to your app. We’ll show you how to adopt custom spatial Persona templates in a sample app with SharePlay, move participants between seats, and test your changes in Simulator. We’ll also share best practices for designing custom spatial templates that will make your experience shine.
Bring your machine learning and AI models to Apple silicon
Learn how to optimize your machine learning and AI models to leverage the power of Apple silicon. Review model conversion workflows to prepare your models for on-device deployment. Understand model compression techniques that are compatible with Apple silicon, and at what stages in your model deployment workflow you can apply them. We’ll also explore the tradeoffs between storage size, latency, power usage and accuracy.
Optimize for the spatial web
Discover how to make the most of visionOS capabilities on the web. Explore recent updates like improvements to selection highlighting, and the ability to present spatial photos and panorama images in fullscreen. Learn to take advantage of existing web standards for dictation and text-to-speech with WebSpeech, spatial soundscapes with WebAudio, and immersive experiences with WebXR.