full transcript

From the Ted Talk by Briana Brownell: How does artificial intelligence learn?

Unscramble the Blue Letters

There are numerous ways to create these machine-learning systems, and perhaps the most promising models are those that mimic the relationship between neurons in the brain. These artificial nreaul networks can use millions of connections to tlakce difficult tasks like igame recognition, speech rgtinocioen, and even lgaganue translation. However, the more self-directed these models become, the hreadr it is for computer scientists to determine how these self-taught aigorlhmts arrive at their soouitln. Researchers are already looking at ways to make machine learning more transparent. But as AI becomes more involved in our everyday lives, these enigmatic decisions have increasingly large impacts on our work, health, and safety. So as machines continue learning to investigate, negotiate and communicate, we must also consider how to teach them to teach each other to oaertpe ethically.

Open Cloze

There are numerous ways to create these machine-learning systems, and perhaps the most promising models are those that mimic the relationship between neurons in the brain. These artificial ______ networks can use millions of connections to ______ difficult tasks like _____ recognition, speech ___________, and even ________ translation. However, the more self-directed these models become, the ______ it is for computer scientists to determine how these self-taught __________ arrive at their ________. Researchers are already looking at ways to make machine learning more transparent. But as AI becomes more involved in our everyday lives, these enigmatic decisions have increasingly large impacts on our work, health, and safety. So as machines continue learning to investigate, negotiate and communicate, we must also consider how to teach them to teach each other to _______ ethically.

Solution

  1. algorithms
  2. recognition
  3. language
  4. harder
  5. operate
  6. neural
  7. image
  8. tackle
  9. solution

Original Text

There are numerous ways to create these machine-learning systems, and perhaps the most promising models are those that mimic the relationship between neurons in the brain. These artificial neural networks can use millions of connections to tackle difficult tasks like image recognition, speech recognition, and even language translation. However, the more self-directed these models become, the harder it is for computer scientists to determine how these self-taught algorithms arrive at their solution. Researchers are already looking at ways to make machine learning more transparent. But as AI becomes more involved in our everyday lives, these enigmatic decisions have increasingly large impacts on our work, health, and safety. So as machines continue learning to investigate, negotiate and communicate, we must also consider how to teach them to teach each other to operate ethically.

Frequently Occurring Word Combinations

ngrams of length 2

collocation frequency
computer scientists 4
reinforcement learning 3
artificial intelligence 2
patient profiles 2
unsupervised learning 2
healthy patients 2
supervised learning 2
treatment plans 2
learning program 2

Important Words

  1. ai
  2. algorithms
  3. arrive
  4. artificial
  5. brain
  6. communicate
  7. computer
  8. connections
  9. continue
  10. create
  11. decisions
  12. determine
  13. difficult
  14. enigmatic
  15. ethically
  16. everyday
  17. harder
  18. health
  19. image
  20. impacts
  21. increasingly
  22. investigate
  23. involved
  24. language
  25. large
  26. learning
  27. lives
  28. machine
  29. machines
  30. millions
  31. mimic
  32. models
  33. negotiate
  34. networks
  35. neural
  36. neurons
  37. numerous
  38. operate
  39. promising
  40. recognition
  41. relationship
  42. researchers
  43. safety
  44. scientists
  45. solution
  46. speech
  47. systems
  48. tackle
  49. tasks
  50. teach
  51. translation
  52. transparent
  53. ways
  54. work