MIT EI Seminar - Phillip Isola - Emergent Intelligence- Getting More Out of Agents Than You Bake In

MIT EI Seminar - Phillip Isola - Emergent Intelligence- Getting More Out of Agents Than You Bake In

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Selfassembly morphologies

31 of 38

31 of 38

Selfassembly morphologies

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Classroom Contents

MIT EI Seminar - Phillip Isola - Emergent Intelligence- Getting More Out of Agents Than You Bake In

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  1. 1 Introduction
  2. 2 Recipe for intelligence
  3. 3 Representation learning
  4. 4 Colorization
  5. 5 Neural representation
  6. 6 Selfsupervised objectives
  7. 7 The Cave
  8. 8 Multiview representation
  9. 9 Contrastive multiview representation
  10. 10 Data augmentation
  11. 11 Semantics
  12. 12 Morris Different
  13. 13 generative modeling
  14. 14 dream of a model
  15. 15 continuum
  16. 16 latent variable models
  17. 17 camera transformations
  18. 18 latent space vector
  19. 19 word Tyvek
  20. 20 Vectors
  21. 21 Circles
  22. 22 Transformations
  23. 23 Bias
  24. 24 Biases
  25. 25 Multiagent interactions
  26. 26 Emergent arms race
  27. 27 Evolution in nature
  28. 28 Spiral of evolution
  29. 29 Emergence of multicellular life
  30. 30 Primitive agents
  31. 31 Selfassembly morphologies
  32. 32 Long creatures
  33. 33 Training
  34. 34 Modularity
  35. 35 Slime Mold Creatures
  36. 36 Obstacles
  37. 37 Multiagent
  38. 38 Selfassembling

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