what is machine learning

Machine learning (ML) is a subset of artificial intelligence (AI) that involves the use of algorithms and statistical models to enable computers to perform tasks without explicit instructions. Instead, these systems learn from patterns and inference from data. At WWDC, Apple presented various aspects of machine learning and how it can be leveraged on Apple platforms.

Key Points on Machine Learning from WWDC:

1. Built-in Machine Learning Frameworks:

   • Apple offers a range of built-in ML frameworks that provide intelligence capabilities across various categories such as natural language processing, sound analysis, speech understanding, and vision intelligence. These frameworks can be extended using Create ML to bring in additional data for training. (Platforms State of the Union)

2. Training and Running Models:

   • Apple Silicon's hardware acceleration and unified memory are optimized for training models using frameworks like PyTorch, TensorFlow, JAX, or MLX. This allows for efficient operations across CPU and GPU. (Platforms State of the Union)

3. Core ML:

   • Core ML is a gateway for deploying models on Apple devices, providing performance critical for great user experiences while simplifying the development workflow with Xcode integration. It segments models across CPU, GPU, and neural engine to maximize hardware utilization. (Explore machine learning on Apple platforms)

4. Create ML:

   • Create ML is an important part of Apple's ML ecosystem, allowing users to train models with the click of a button using the Create ML app. It leverages system domain frameworks like Vision, Natural Language, and Sound Analysis to customize ML models to specific use cases. (What’s new in Create ML)

5. Research and Open Source:

   • Apple is actively involved in ML research and has published hundreds of papers with novel approaches to AI models and on-device optimizations. They have also shared many tools for research as open source, such as MLX and Coordinate. (Explore machine learning on Apple platforms)

Relevant Sessions:

• Platforms State of the Union
• Explore machine learning on Apple platforms
• What’s new in Create ML

These sessions provide a comprehensive overview of how machine learning is integrated into Apple platforms and the tools available for developers to create intelligent applications.