Machine Learning & AI
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103:37 Code along with the Foundation Models framework
7:28 Design interactive snippets
23:45 What’s new in BNNS Graph
30:32 Code-along: Bring on-device AI to your app using the Foundation Models framework
32:59 Optimize CPU performance with Instruments
29:40 Combine Metal 4 machine learning and graphics
24:36 Get to know App Intents
19:29 Get started with MLX for Apple silicon
25:31 Deep dive into the Foundation Models framework
17:54 Dive deeper into Writing Tools
22:11 Explore prompt design & safety for on-device foundation models
20:08 Explore large language models on Apple silicon with MLX
23:24 Meet the Foundation Models framework
19:27 Discover machine learning & AI frameworks on Apple platforms
26:49 Explore new advances in App Intents
18:56 Develop for Shortcuts and Spotlight with App Intents
20:22 Read documents using the Vision framework
19:07 Bring advanced speech-to-text to your app with SpeechAnalyzer
20:03 Support real-time ML inference on the CPU
12:24 Get started with Writing Tools
11:32 What’s new in Create ML
18:15 Deploy machine learning and AI models on-device with Core ML
17:01 Explore object tracking for visionOS
16:06 What’s new in DockKit
16:49 Discover Swift enhancements in the Vision framework
17:33 Explore machine learning on Apple platforms
10:55 Support semantic search with Core Spotlight
23:48 Keep colors consistent across captures
9:19 Design App Intents for system experiences
18:21 Train your machine learning and AI models on Apple GPUs
34:29 Use HDR for dynamic image experiences in your app
21:18 Introducing enterprise APIs for visionOS
16:31 Meet the Translation API
21:49 Bring your app to Siri
22:49 Build a great Lock Screen camera capture experience
26:02 Bring your app’s core features to users with App Intents
17:56 What’s new in App Intents
30:09 Bring your machine learning and AI models to Apple silicon
25:06 Accelerate machine learning with Metal
18:38 Lift subjects from images in your app
13:47 Detect animal poses in Vision
16:50 Discover machine learning enhancements in Create ML
19:56 What’s new in VisionKit
14:25 Explore Natural Language multilingual models
14:38 Explore 3D body pose and person segmentation in Vision
21:15 Optimize machine learning for Metal apps
23:21 Improve Core ML integration with async prediction
25:18 Use Core ML Tools for machine learning model compression
17:35 Integrate with motorized iPhone stands using DockKit
7:52 Customize on-device speech recognition
16:46 What's new in Create ML
25:31 Get to know Create ML Components
12:11 Capture machine-readable codes and text with VisionKit
23:30 Optimize your Core ML usage
13:25 Compose advanced models with Create ML Components
19:48 What's new in Vision
29:51 Accelerate machine learning with Metal
17:19 Explore the machine learning development experience
15:48 Improve Object Detection models in Create ML
23:48 Explore and manipulate data in Swift with TabularData
25:18 Convert PyTorch models to Core ML
36:34 The process of inclusive design
32:44 Discoverable design
19:16 Discover built-in sound classification in SoundAnalysis
17:58 Detect people, faces, and poses using Vision
26:49 Classify hand poses and actions with Create ML
16:49 Build dynamic iOS apps with the Create ML framework
19:12 Extract document data using Vision
14:22 Use Accelerate to improve performance and incorporate encrypted archives
24:30 Tune your Core ML models
29:12 Accelerate machine learning with Metal Performance Shaders Graph
26:06 Build an Action Classifier with Create ML
24:42 Use model deployment and security with Core ML
24:21 Detect Body and Hand Pose with Vision
36:27 Explore the Action & Vision app
24:35 Explore Computer Vision APIs
41:04 Make apps smarter with Natural Language
11:48 Build Image and Video Style Transfer models in Create ML
18:39 Control training in Create ML with Swift
39:35 Build customized ML models with the Metal Performance Shaders Graph
31:16 Get models on device using Core ML Converters
14:34 Introducing the Create ML App
40:38 Core ML 3 Framework
14:49 What's New in Machine Learning
6:10 Advances in Speech Recognition
20:11 Training Sound Classification Models in Create ML
15:41 Training Object Detection Models in Create ML
12:05 Training Text Classifiers in Create ML
39:50 Understanding Images in Vision Framework
10:31 Training Recommendation Models in Create ML
15:01 Building Activity Classification Models in Create ML
39:19 Advances in Natural Language Framework
29:43 Creating Great Apps Using Core ML and ARKit
38:15 Text Recognition in Vision Framework
57:45 Designing Great ML Experiences
41:25