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Is TinyML a disruptive technology
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Classroom Contents
TinyML Talks France - State of the TinyML Today
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- 1 Introduction
- 2 What kind of AI do we need
- 3 Current neural network architectures
- 4 Hardware acceleration for neural networks
- 5 Power efficiency
- 6 Summary
- 7 Intel
- 8 Etienne
- 9 Commercial applications
- 10 Is TinyML a disruptive technology
- 11 How do we know if a use case is doable
- 12 Negative use cases
- 13 Positive use cases
- 14 Tradeoffs
- 15 Use cases
- 16 Question
- 17 Point of view
- 18 IoT
- 19 Voice Command
- 20 Face ID
- 21 System Dimensions
- 22 The Problem
- 23 Conclusion
- 24 Object detection
- 25 Embedded vs cloud
- 26 AI and Embedded Systems
- 27 Challenges
- 28 Risk 5 and AI modeling
- 29 TinyML vs microcontrollers
- 30 Distributed AI
