Vicarious Systems at Singularity Summit 2011

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  • haha.. the video keeps popping up here!

    anyway, fascinating stuff! good luck going forward!
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Vicarious Systems at Singularity Summit 2011

  1. 1. From Planes to BrainsBuilding AI the Wright WayScott Brown + Dileep George
  2. 2. Roadmap
  3. 3. PhilosophyRoadmap
  4. 4. PhilosophyRoadmap Science
  5. 5. PhilosophyRoadmap Science Engineering
  6. 6. PhilosophyRoadmap Science Engineering
  7. 7. Invention
  8. 8. Humans have beeninventing for a long time
  9. 9. ?
  10. 10. ?
  11. 11. ?
  12. 12. Flight circa 1900
  13. 13. Flight circa 1900 replicate natural phenomena
  14. 14. Flight circa 1900 replicate natural phenomena high level of public excitement
  15. 15. Flight circa 1900 replicate natural phenomena high level of public excitement many approaches and teams
  16. 16. Flight circa 1900 replicate natural phenomena high level of public excitement many approaches and teams government and private funding
  17. 17. Flight circa 1900 replicate natural phenomena high level of public excitement many approaches and teams government and private funding lots of crackpots
  18. 18. Flight circa 1900 replicate natural phenomena high level of public excitement many approaches and teams government and private funding lots of crackpots experts arguing it can’t be done
  19. 19. Flight circa 1900 replicate natural phenomena high level of public excitement many approaches and teams government and private funding lots of crackpots experts arguing it can’t be done
  20. 20. 20 11Flighti rc a 1900 circaA Ic replicate natural phenomena high level of public excitement many approaches and teams government and private funding lots of crackpots experts arguing it can’t be done
  21. 21. { Movement Flapping Gliding Freq. Amp. Pos. Body Head Wings TailFlight Bones Muscles Feathers Contour Down Bristle Vane Barbule Barbicels
  22. 22. { Behavior Cognition Perception Inter-region connectivity Cortical ColumnsIntelligence Networks of Simple Neurons Synapses Learning Rules Dendrites Spines Spikes Glia Ion Proteins
  23. 23. Old brain
  24. 24. Neocortex Old brain
  25. 25. Common set of principles
  26. 26. Face Non-face
  27. 27. Face Non-face 256 1024
  28. 28. Number of seconds in a human’s life: 3153600000
  29. 29. Assumptions Learning efficiency Generality
  30. 30. Assumptions Learning efficiency Generality
  31. 31. Assumptions Learning efficiency Generality
  32. 32. Assumptions Learning efficiency Generality
  33. 33. Neocortex works on several different modalities
  34. 34. Neocortex works on several different modalities +Neocortex learns efficiently
  35. 35. Neocortex works on several different modalities +Neocortex learns efficiently + Necortical structure is largely uniform
  36. 36. Neocortex works on several different modalities A common + assumption-setNeocortex learns works well efficiently for a large set of problems + Necortical structure is largely uniform
  37. 37. What are the algorithms?
  38. 38. What are the algorithms?
  39. 39. ✓What are the assumptions?
  40. 40. PhilosophyRoadmap Science Engineering
  41. 41. PhilosophyRoadmap Science Engineering
  42. 42. Behavior Cognition Perception Inter-region connectivity Cortical ColumnsNetworks of Simple NeuronsSynapses Learning RulesDendrites Spines Spikes Glia Ion Proteins
  43. 43. What is the right level of abstraction?
  44. 44. Information processing
  45. 45. Information processing
  46. 46. Information processingCommunication between neurons
  47. 47. Information processingCommunication between neurons Staying alive
  48. 48. Behavior Cognition Perception Inter-region connectivity Cortical ColumnsNetworks of Simple NeuronsSynapses Learning RulesDendrites Spines Spikes Glia Ion Proteins
  49. 49. Behavior Cognition Perception Inter-region connectivity Cortical ColumnsNetworks of Simple NeuronsSynapses Learning RulesDendrites Spines Spikes Glia Ion Proteins
  50. 50. Behavior Cognition Perception Inter-region connectivity Cortical ColumnsNetworks of Simple NeuronsSynapses Learning RulesDendrites Spines Spikes Glia Ion Proteins
  51. 51. Behavior Cognition Perception Inter-region connectivity Cortical ColumnsNetworks of Simple NeuronsSynapses Learning RulesDendrites Spines Spikes Glia Ion Proteins
  52. 52. What is the right level of abstraction?
  53. 53. What is the right level of abstraction?
  54. 54. Neocortex Computational FrameworkPhysics of World’s Data
  55. 55. NeocortexSource of assumptions/ constraints
  56. 56. Neocortex Source of assumptions/ constraints Physics of World’s Data To find correspondencewith neocortex properties
  57. 57. Neocortex Source of assumptions/ constraints Computational Framework Physics of World’s Data Understand why neocortex To find correspondence does what it does to designwith neocortex properties algorithms
  58. 58. Observed hierarchy in the cortex Hierarchical Efficiency and re-use.structure of data Dynamic programming.
  59. 59. Spikes? ?
  60. 60. Blue brain project
  61. 61. Machine learning, statistics
  62. 62. Brain corporation
  63. 63. Did Wright brothers observe birds tolearn flying?
  64. 64. “Airplanes don’t flap their wings”
  65. 65. “Airplanes don’t flap their wings”
  66. 66. “Airplanes don’t flap their wings”This is precisely what the Wrights learnedby observing birds!
  67. 67. PhilosophyRoadmap Science Engineering
  68. 68. PhilosophyRoadmap Science Engineering
  69. 69. Kite
  70. 70. Kite Glider
  71. 71. Wind Kite GliderTunnel
  72. 72. Engineering process Biological circuit Explanation for Biological biological model for Constraints phenomena inference Non-biological Predictions learning algorithm Hard Mathematical Computational EmpiricalProblem model for Requirements results inference
  73. 73. Engineering process Biological circuit Explanation for Biological biological model for Constraints phenomena inference Non-biological Predictions learning algorithm Hard Mathematical Computational EmpiricalProblem model for Requirements results inference
  74. 74. picture ofbird wings
  75. 75. picture ofbird wings
  76. 76. picture ofbird wings
  77. 77. Banking turn
  78. 78. Banking turn Wing warping
  79. 79. I II/III IV V VIBiological circuit diagram
  80. 80. I II/III IV V VIBiological circuit diagram
  81. 81. Mathematical model
  82. 82. (1) Coincidence likelihood(2) Markov chain likelihood(3) Coincidence Belief (4) Feedback messages
  83. 83. 2 D 3 D D D D D D D D D D D D D Belief1 4
  84. 84. III/III IV V VI
  85. 85. Davide Maltoni
  86. 86. Solving problems in the right order
  87. 87. Powerful motor Control
  88. 88. Is detailed brain connectivity a required first step?
  89. 89. We are building a vision system first...
  90. 90. We are building a vision system first...because, higher level reasoning requiresgrounding in a perception-action system.
  91. 91. A) After wading barefoot in the lake, Erik used his shirt to dry his feet.
  92. 92. A) After wading barefoot in the lake, Erik used his shirt to dry his feet.B) After wading barefoot in the lake,Erik used his glasses to dry his feet.
  93. 93. A) After wading barefoot in the lake, Erik used his shirt to dry his feet.B) After wading barefoot in the lake,Erik used his glasses to dry his feet.Watson?
  94. 94. A) After wading barefoot in the lake, Erik used his shirt to dry his feet.B) After wading barefoot in the lake,Erik used his glasses to dry his feet.Watson?
  95. 95. Performance of hierarchies
  96. 96. Performance of hierarchies Performance metric 3 Levels 2 Levels 1 Level Existing systems
  97. 97. Performance of hierarchies 3 Levels Performance metric 3 Levels 2 Levels 2 Levels 1 Level 1 Level Existing systems Our system
  98. 98. Future
  99. 99. 1903:The first flight was only 59 secs andcovered less than 100 feet1919:First nonstop trans-atlantic flight.
  100. 100. Thank You

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