Downloaded 36 times
More Related Content
![[Talk]](https://cdn.slidesharecdn.com/ss_thumbnails/talk3457-thumbnail.jpg?width=640&height=640&fit=bounds)
Similar to Vicarious Systems at Singularity Summit 2011
![Coded Agents – with UiPath SDK + LangGraph [Virtual Hands-on Workshop]](https://cdn.slidesharecdn.com/ss_thumbnails/codedagentsdeck-251215155422-5497c599-thumbnail.jpg?width=640&height=640&fit=bounds)
Vicarious Systems at Singularity Summit 2011
- 1. From Planes toBrains Building AI the Wright Way Scott Brown + Dileep George
- 2.
- 3.
- 4. Philosophy Roadmap Science
- 5. Philosophy Roadmap Science Engineering
- 6. Philosophy Roadmap Science Engineering
- 7.
- 8. Humans have been inventingfor a long time
- 17.
- 18.
- 19.
- 20.
- 21. Flight circa 1900 replicate natural phenomena
- 22. Flight circa 1900 replicate natural phenomena high level of public excitement
- 23. Flight circa 1900 replicate natural phenomena high level of public excitement many approaches and teams
- 24. Flight circa 1900 replicate natural phenomena high level of public excitement many approaches and teams government and private funding
- 25. Flight circa 1900 replicate natural phenomena high level of public excitement many approaches and teams government and private funding lots of crackpots
- 26. 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
- 27. 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
- 28. 20 11 Flighti rca 1900 circa A 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
- 29. { Movement Flapping Gliding Freq. Amp. Pos. Body Head Wings Tail Flight Bones Muscles Feathers Contour Down Bristle Vane Barbule Barbicels
- 30. { Behavior Cognition Perception Inter-region connectivity Cortical Columns Intelligence Networks of Simple Neurons Synapses Learning Rules Dendrites Spines Spikes Glia Ion Proteins
- 32.
- 33. Neocortex Old brain
- 35. Common set ofprinciples
- 36. Face Non-face
- 37. Face Non-face 256 1024
- 42. Number of secondsin a human’s life: 3153600000
- 43. Assumptions Learning efficiency Generality
- 44. Assumptions Learning efficiency Generality
- 45. Assumptions Learning efficiency Generality
- 46. Assumptions Learning efficiency Generality
- 48. Neocortex works on several different modalities
- 49. Neocortex works on several different modalities + Neocortex learns efficiently
- 50. Neocortex works on several different modalities + Neocortex learns efficiently + Necortical structure is largely uniform
- 51. Neocortex works on several different modalities A common + assumption-set Neocortex learns works well efficiently for a large set of problems + Necortical structure is largely uniform
- 52. What are thealgorithms?
- 53. What are thealgorithms?
- 54. ✓What are theassumptions?
- 55. Philosophy Roadmap Science Engineering
- 56. Philosophy Roadmap Science Engineering
- 58. Behavior Cognition Perception Inter-region connectivity Cortical Columns Networks of Simple Neurons Synapses Learning Rules Dendrites Spines Spikes Glia Ion Proteins
- 59. What is theright level of abstraction?
- 62.
- 63.
- 64.
- 65. Information processing Communication between neurons Staying alive
- 66. Behavior Cognition Perception Inter-region connectivity Cortical Columns Networks of Simple Neurons Synapses Learning Rules Dendrites Spines Spikes Glia Ion Proteins
- 67. Behavior Cognition Perception Inter-region connectivity Cortical Columns Networks of Simple Neurons Synapses Learning Rules Dendrites Spines Spikes Glia Ion Proteins
- 68. Behavior Cognition Perception Inter-region connectivity Cortical Columns Networks of Simple Neurons Synapses Learning Rules Dendrites Spines Spikes Glia Ion Proteins
- 69. Behavior Cognition Perception Inter-region connectivity Cortical Columns Networks of Simple Neurons Synapses Learning Rules Dendrites Spines Spikes Glia Ion Proteins
- 70. What is theright level of abstraction?
- 71. What is theright level of abstraction?
- 72. Neocortex Computational Framework Physics of World’s Data
- 74. Neocortex Source of assumptions/ constraints
- 75. Neocortex Source of assumptions/ constraints Physics of World’s Data To find correspondence with neocortex properties
- 76. Neocortex Source of assumptions/ constraints Computational Framework Physics of World’s Data Understand why neocortex To find correspondence does what it does to design with neocortex properties algorithms
- 78. Observed hierarchy in the cortex Hierarchical Efficiency and re-use. structure of data Dynamic programming.
- 79. Spikes ? ?
- 81.
- 82.
- 83.
- 84. Did Wright brothersobserve birds to learn flying?
- 86. “Airplanes don’t flaptheir wings”
- 87. “Airplanes don’t flaptheir wings”
- 88. “Airplanes don’t flaptheir wings” This is precisely what the Wrights learned by observing birds!
- 90. Philosophy Roadmap Science Engineering
- 91. Philosophy Roadmap Science Engineering
- 93.
- 94. Kite Glider
- 95. Wind Kite Glider Tunnel
- 96. Engineering process Biological circuit Explanation for Biological biological model for Constraints phenomena inference Non-biological Predictions learning algorithm Hard Mathematical Computational Empirical Problem model for Requirements results inference
- 97. Engineering process Biological circuit Explanation for Biological biological model for Constraints phenomena inference Non-biological Predictions learning algorithm Hard Mathematical Computational Empirical Problem model for Requirements results inference
- 98.
- 99.
- 100.
- 101.
- 102. Banking turn Wing warping
- 103. I II/III IV V VI Biological circuit diagram
- 104. I II/III IV V VI Biological circuit diagram
- 109.
- 114. (1) Coincidence likelihood (2) Markov chain likelihood (3) Coincidence Belief (4) Feedback messages
- 115. 2 D 3 D D D D D D D D D D D D D Belief 1 4
- 116.
- 117.
- 118. Solving problems inthe right order
- 119. Powerful motor Control
- 120. Is detailed brainconnectivity a required first step?
- 121. We are buildinga vision system first...
- 122. We are buildinga vision system first... because, higher level reasoning requires grounding in a perception-action system.
- 124. A) After wadingbarefoot in the lake, Erik used his shirt to dry his feet.
- 125. A) After wadingbarefoot 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.
- 126. A) After wadingbarefoot 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?
- 127. A) After wadingbarefoot 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?
- 128.
- 129. Performance of hierarchies Performance metric 3 Levels 2 Levels 1 Level Existing systems
- 130. Performance of hierarchies 3 Levels Performance metric 3 Levels 2 Levels 2 Levels 1 Level 1 Level Existing systems Our system
- 131.
- 132. 1903: The first flightwas only 59 secs and covered less than 100 feet 1919: First nonstop trans-atlantic flight.
- 137.