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00:00 Shivay Lamba
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Classroom Contents
How to Run Secure AI Anywhere with WebAssembly
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- 1 00:00 Shivay Lamba
- 2 03:02 Introduction and Background
- 3 06:02 WebAssembly and AI Integration
- 4 08:47 Machine Learning on the Edge
- 5 11:43 Privacy and Data Security in AI
- 6 15:00 Quantization and Model Optimization
- 7 17:52 Tools for Running AI Models in the Browser
- 8 32:13 Understanding TensorFlow.js and Its Architecture
- 9 37:58 Custom Operations and Model Compatibility
- 10 41:56 Overcoming Limitations in JavaScript ML Workloads
- 11 46:00 Demos and Practical Applications of TensorFlow.js
- 12 54:22 Server-Side AI Inference with WebAssembly
- 13 01:02:42 Building AI Inference APIs with WebAssembly
- 14 01:04:39 WebAssembly and Machine Learning Inference
- 15 01:10:56 Summarizing the Benefits of WebAssembly for Developers
- 16 01:15:43 Learning Curve for Developers in Machine Learning
- 17 01:21:10 Hardware Considerations for WebAssembly and AI
- 18 01:27:35 Comparing Inference Speeds of AI Models
