AI and ML

Apple's WWDC 2024 covered a wide range of topics related to AI and machine learning (ML) across several sessions. Here are some key points:

1. Machine Learning Frameworks and APIs:

   • Apple offers built-in machine learning frameworks that provide intelligence capabilities across various categories, including natural language processing, sound analysis, speech understanding, and vision intelligence. The Vision framework, for instance, has received a new Swift API this year (Platforms State of the Union).
   • Core ML is the most commonly used framework for running AI models on iOS, iPadOS, and macOS. It helps in efficiently deploying and running machine learning models on-device (Platforms State of the Union).

2. On-Device Machine Learning:

   • Apple emphasizes running machine learning tasks on-device to deliver low latency, better user experience, and enhanced privacy. This is made possible by the powerful Apple silicon, which includes ML accelerators in the CPU, GPU, and neural engine (Explore machine learning on Apple platforms).
   • Core ML automatically segments models across CPU, GPU, and neural engine to maximize hardware utilization (Explore machine learning on Apple platforms).

3. Generative AI and Research:

   • Apple is pushing the boundaries with new generative AI models that are powerful yet optimized to run locally on devices. This includes a highly capable large language model that serves as the foundation for Apple Intelligence (Platforms State of the Union).
   • Apple continues to contribute to AI and ML research, publishing hundreds of papers and making tools like MLX available via open source. MLX is designed for researchers to explore new ideas on Apple silicon (Explore machine learning on Apple platforms).

4. Core ML Enhancements:

   • New features in Core ML include the ML tensor type, which simplifies model integration, and performance tools that provide detailed runtime information for each operation (Deploy machine learning and AI models on-device with Core ML).

Relevant Sessions

1. Platforms State of the Union
2. Explore machine learning on Apple platforms
3. Deploy machine learning and AI models on-device with Core ML

These sessions provide a comprehensive overview of the advancements and tools available for integrating AI and ML into applications on Apple platforms.