full transcript
"From the Ted Talk by Greg Gage: This computer is learning to read your mind"

Unscramble the Blue Letters

Did our mind-reading eirxmnepet really work? Yes, but we had to do a lot of cheating. It tunrs out you can find some interesting things in the EEG, for example if you're looking at someone's face, but it does have a lot of limitations. Perhaps adveancs in mcainhe learning will make huge strides, and one day we will be able to decode what's going on in our thoughts. But for now, the next time a company says that they can harness your brainwaves to be able to control devices, it is your right, it is your duty to be skeptical.

Open Cloze

Did our mind-reading __________ really work? Yes, but we had to do a lot of cheating. It _____ out you can find some interesting things in the EEG, for example if you're looking at someone's face, but it does have a lot of limitations. Perhaps ________ in _______ learning will make huge strides, and one day we will be able to decode what's going on in our thoughts. But for now, the next time a company says that they can harness your brainwaves to be able to control devices, it is your right, it is your duty to be skeptical.

Solution

  1. experiment
  2. machine
  3. turns
  4. advances

Original Text

Did our mind-reading experiment really work? Yes, but we had to do a lot of cheating. It turns out you can find some interesting things in the EEG, for example if you're looking at someone's face, but it does have a lot of limitations. Perhaps advances in machine learning will make huge strides, and one day we will be able to decode what's going on in our thoughts. But for now, the next time a company says that they can harness your brainwaves to be able to control devices, it is your right, it is your duty to be skeptical.

ngrams of length 2

collocation frequency
mind reading 4
machine learning 3
real time 3

Important Words

  1. advances
  2. brainwaves
  3. cheating
  4. company
  5. control
  6. day
  7. decode
  8. devices
  9. duty
  10. eeg
  11. experiment
  12. face
  13. find
  14. harness
  15. huge
  16. interesting
  17. learning
  18. limitations
  19. lot
  20. machine
  21. skeptical
  22. strides
  23. thoughts
  24. time
  25. turns
  26. work