full transcript

From the Ted Talk by Sims Witherspoon: Can AI help solve the climate crisis?


Unscramble the Blue Letters


In addition to data, we needed to find a partner with domain expertise and the willingness and scale to test new systems. You know, surprisingly, this can be a moajr hlrdue when it comes to dilyenopg AI in the real world. Believe it or not, it's not every wind-farm manager that wants to let a bunch of AI racehrseers test on their multimillion- or multibillion-dollar systems. But the thing is, in order to prove that AI wkors, we have to have deployment oietotppniurs in the real world. Luckily for us, Google was a ready and willing partner. OK, yes, DeepMind is a part of Google, but it's not a given that they would let us test on their systems. Yet they let us test on 700 mtagtawes of their wind-power capacity, which is equivalent to a large wind farm in the untied stteas. This made them an excellent proxy for external wind-farm oerrptoas. They also lent us an expert team to advise on metrics and benchmarks and to share the data that we needed. This is another caitcril component of AI for the real-world deployments. Working with a domain-expert team that can tell you what they need, how they need it to work, which constraints keep the system safe, what quantifiable metrics to use to mseurae AI performance and how much better that AI performance needs to be than their previous systems to make the cost of switching over even wrtoh it. And that's just to name a few.

Open Cloze


In addition to data, we needed to find a partner with domain expertise and the willingness and scale to test new systems. You know, surprisingly, this can be a _____ ______ when it comes to _________ AI in the real world. Believe it or not, it's not every wind-farm manager that wants to let a bunch of AI ___________ test on their multimillion- or multibillion-dollar systems. But the thing is, in order to prove that AI _____, we have to have deployment _____________ in the real world. Luckily for us, Google was a ready and willing partner. OK, yes, DeepMind is a part of Google, but it's not a given that they would let us test on their systems. Yet they let us test on 700 _________ of their wind-power capacity, which is equivalent to a large wind farm in the ______ ______. This made them an excellent proxy for external wind-farm _________. They also lent us an expert team to advise on metrics and benchmarks and to share the data that we needed. This is another ________ component of AI for the real-world deployments. Working with a domain-expert team that can tell you what they need, how they need it to work, which constraints keep the system safe, what quantifiable metrics to use to _______ AI performance and how much better that AI performance needs to be than their previous systems to make the cost of switching over even _____ it. And that's just to name a few.

Solution


  1. deploying
  2. works
  3. major
  4. united
  5. opportunities
  6. operators
  7. states
  8. measure
  9. critical
  10. megawatts
  11. worth
  12. researchers
  13. hurdle

Original Text


In addition to data, we needed to find a partner with domain expertise and the willingness and scale to test new systems. You know, surprisingly, this can be a major hurdle when it comes to deploying AI in the real world. Believe it or not, it's not every wind-farm manager that wants to let a bunch of AI researchers test on their multimillion- or multibillion-dollar systems. But the thing is, in order to prove that AI works, we have to have deployment opportunities in the real world. Luckily for us, Google was a ready and willing partner. OK, yes, DeepMind is a part of Google, but it's not a given that they would let us test on their systems. Yet they let us test on 700 megawatts of their wind-power capacity, which is equivalent to a large wind farm in the United States. This made them an excellent proxy for external wind-farm operators. They also lent us an expert team to advise on metrics and benchmarks and to share the data that we needed. This is another critical component of AI for the real-world deployments. Working with a domain-expert team that can tell you what they need, how they need it to work, which constraints keep the system safe, what quantifiable metrics to use to measure AI performance and how much better that AI performance needs to be than their previous systems to make the cost of switching over even worth it. And that's just to name a few.

Frequently Occurring Word Combinations


ngrams of length 2

collocation frequency
climate change 6
real world 3
wind energy 2
meet demand 2
historical data 2
historical weather 2
deploying ai 2
ai performance 2
climate action 2



Important Words


  1. addition
  2. advise
  3. ai
  4. benchmarks
  5. bunch
  6. capacity
  7. component
  8. constraints
  9. cost
  10. critical
  11. data
  12. deepmind
  13. deploying
  14. deployment
  15. deployments
  16. domain
  17. equivalent
  18. excellent
  19. expert
  20. expertise
  21. external
  22. farm
  23. find
  24. google
  25. hurdle
  26. large
  27. lent
  28. luckily
  29. major
  30. manager
  31. measure
  32. megawatts
  33. metrics
  34. needed
  35. operators
  36. opportunities
  37. order
  38. part
  39. partner
  40. performance
  41. previous
  42. prove
  43. proxy
  44. quantifiable
  45. ready
  46. real
  47. researchers
  48. safe
  49. scale
  50. share
  51. states
  52. surprisingly
  53. switching
  54. system
  55. systems
  56. team
  57. test
  58. united
  59. willingness
  60. wind
  61. work
  62. working
  63. works
  64. world
  65. worth