Aprendizado de máquina e IA
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35:08 Melhore o desempenho gráfico com as GPUs dos chips M5 e A19
34:26 Acelere suas cargas de trabalho de aprendizado de máquina com as GPUs dos chips M5 e A19
23:48 Explore and manipulate data in Swift with TabularData
Apple Intelligence — Laboratório em grupo
Disponível June 11
Inteligência de programação, aprendizado de máquina e IA — Laboratório em grupo
Disponível June 9
Aprendizado de máquina e IA — Laboratório em grupo
Disponível June 12
Codificação guiada usando o framework Foundation Models
103:37 Codificação guiada usando o framework Foundation Models
19:07 Integre a conversão de fala em texto avançada ao seu app com o SpeechAnalyzer
20:22 Leia documentos usando o framework Vision
23:24 Conheça o framework Foundation Models
19:27 Conheça os frameworks de aprendizado de máquina e IA nas plataformas Apple
32:59 Otimize o desempenho da CPU com o Instruments
22:11 Explore a criação de prompts e a segurança de IA para modelos base no dispositivo
25:31 Aprofunde-se no framework Foundation Models
19:29 Introdução ao MLX para Apple Silicon
29:40 Combine o aprendizado de máquina e os gráficos do Metal 4
18:56 Desenvolva para o app Atalhos e o Spotlight com o App Intents
24:36 Conheça o App Intents
30:32 Codificação guiada: integre a IA no dispositivo ao seu app usando o framework Foundation Models
23:45 Novidades do BNNSGraph
7:28 Crie snippets interativos
20:08 Explore os LLMs (grandes modelos de linguagem) no Apple Silicon com o MLX
17:54 Saiba mais sobre as Ferramentas de Escrita
26:49 Explore os novos avanços do framework App Intents
18:15 Deploy machine learning and AI models on-device with Core ML
12:24 Get started with Writing Tools
17:56 What’s new in App Intents
11:32 What’s new in Create ML
17:33 Explore machine learning on Apple platforms
16:06 What’s new in DockKit
9:19 Design App Intents for system experiences
21:49 Bring your app to Siri
10:55 Support semantic search with Core Spotlight
16:31 Meet the Translation API
22:49 Build a great Lock Screen camera capture experience
34:29 Use HDR for dynamic image experiences in your app
18:21 Train your machine learning and AI models on Apple GPUs
17:01 Explore object tracking for visionOS
16:49 Discover Swift enhancements in the Vision framework
26:02 Bring your app’s core features to users with App Intents
23:48 Keep colors consistent across captures
21:18 Introducing enterprise APIs for visionOS
20:03 Support real-time ML inference on the CPU
30:09 Bring your machine learning and AI models to Apple silicon
25:06 Accelerate machine learning with Metal
Q&A: Machine learning open forum
14:38 Explore 3D body pose and person segmentation in Vision
14:25 Explore Natural Language multilingual models
Q&A: Image understanding and the Vision framework
19:56 What’s new in VisionKit
Q&A: Natural Language and Speech
25:18 Use Core ML Tools for machine learning model compression
13:47 Detect animal poses in Vision
Q&A: Machine learning open forum
17:35 Integrate with motorized iPhone stands using DockKit
21:15 Optimize machine learning for Metal apps
Q&A: Live Text and data scanning
7:52 Customize on-device speech recognition
Q&A: Machine learning open forum
Q&A: Core ML
Q&A: Create ML
23:21 Improve Core ML integration with async prediction
16:50 Discover machine learning enhancements in Create ML
Q&A: Subject lifting
18:38 Lift subjects from images in your app
Q&A: Machine learning open forum
Meet the Presenter: Get to know Create ML Components
25:31 Get to know Create ML Components
Q&A: Create ML
12:11 Capture machine-readable codes and text with VisionKit
16:46 What's new in Create ML
Meet the Presenter: Compose advanced models with Create ML Components
13:25 Compose advanced models with Create ML Components
23:30 Optimize your Core ML usage
Q&A: Core ML
19:48 What's new in Vision
Q&A: Vision
Meet the Presenter: Accelerate machine learning with Metal
Meet the Presenter: Create custom catalogs at scale with ShazamKit
Meet the Presenter: Explore the machine learning developer experience
17:19 Explore the machine learning development experience
29:51 Accelerate machine learning with Metal
36:34 The process of inclusive design
26:49 Classify hand poses and actions with Create ML
19:16 Discover built-in sound classification in SoundAnalysis
16:49 Build dynamic iOS apps with the Create ML framework
17:58 Detect people, faces, and poses using Vision
32:44 Discoverable design
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
24:21 Detect Body and Hand Pose with Vision
26:06 Build an Action Classifier with Create ML
24:42 Use model deployment and security with Core ML
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
31:16 Get models on device using Core ML Converters
39:35 Build customized ML models with the Metal Performance Shaders Graph
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
Create ML for Object Detection and Sound Classification
39:50 Understanding Images in Vision Framework
29:43 Creating Great Apps Using Core ML and ARKit
41:25 Metal for Machine Learning
39:19 Advances in Natural Language Framework
Create ML for Activity, Text, and Recommendations
10:31 Training Recommendation Models in Create ML
15:01 Building Activity Classification Models in Create ML
12:05 Training Text Classifiers in Create ML
14:34 Introducing the Create ML App
38:15 Text Recognition in Vision Framework
40:38 Core ML 3 Framework
57:45