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Classroom Contents
TinyML Talks France - How to Design a Power Frugal Hardware for AI - The Bio-Inspiration Path
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- 1 Introduction
- 2 Welcome
- 3 Start
- 4 AI at the edge
- 5 Trends in computing
- 6 Inmemory compute
- 7 Nonwater memory
- 8 Memory requirements
- 9 Future applications
- 10 Bioinspired
- 11 Proof of concept
- 12 topology
- 13 classical domain
- 14 receptive fields
- 15 resistive rams
- 16 analog nuance
- 17 fabrication
- 18 classification accuracy
- 19 demo
- 20 scaling
- 21 multiple values
- 22 viability
- 23 unit topologies
- 24 multicore implementation
- 25 conclusion
- 26 embedded RAM
- 27 tinyML resources
- 28 Mass testing
- 29 Compression
- 30 Other labs
- 31 Image classification
- 32 Bioinspired path
- 33 Depth analysis
- 34 Unsupervised learning
- 35 Rules for unsupervised learning
- 36 Flexibility
- 37 Research
- 38 Sponsors
