TinyML Talks France - How to Design a Power Frugal Hardware for AI - The Bio-Inspiration Path

TinyML Talks France - How to Design a Power Frugal Hardware for AI - The Bio-Inspiration Path

tinyML via YouTube Direct link

multicore implementation

24 of 38

24 of 38

multicore implementation

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

TinyML Talks France - How to Design a Power Frugal Hardware for AI - The Bio-Inspiration Path

Automatically move to the next video in the Classroom when playback concludes

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

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.