AI

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Across
  1. 3. - Computers understanding humans, but not through telepathy. (7)(8)(10)
  2. 6. - Going backwards to move forwards in AI learning.
  3. 7. - Learning together while staying apart. (9)(8)
  4. 8. - Science of automated friends, not just in sci-fi movies.
  5. 12. - Learning without guidance, in a digital world. (12)(8)
  6. 13. - These feel but don't have emotions.
  7. 14. - Fortune telling, but by machines.
  8. 15. - A profound educational experience for AI, not humans. (4)(8)
  9. 17. - Things on the internet, but not websites or emails.
  10. 19. - Huge, but not something you can see or touch. (3)(4)
  11. 22. - An adversarial network, but not of spies.
  12. 24. - A set that's more about numbers than dinnerware.
  13. 25. - This bot loves to talk, but don't expect it to listen.
  14. 26. - When machines get smarter, but not by going to school. (7)(8)
  15. 29. - Learning through trial and error, but not in a classroom. (13)(8)
Down
  1. 1. - A slant in data, not in physical structures.
  2. 2. - Pulling features out, but not from a face. (7)(10)
  3. 4. - When computers 'see,' but not with eyes. (8)(6)
  4. 5. - Computing on a tiny scale, but with huge potential. (7)(9)
  5. 9. - Computing in the clouds, but not with airplanes. (5)(9)
  6. 10. - Think of a brain's web, but made by a computer. (6)(7)
  7. 11. - Intelligence that's made, not born. (10)(12)
  8. 13. - This learning has oversight, but not from a teacher. (10)(8)
  9. 16. - Telling the future with data, not a crystal ball. (10)(9)
  10. 18. - Computing that thinks, but without a brain. (9)(9)
  11. 20. - This set of instructions is crucial for problem-solving, but not just in mathematics.
  12. 21. - Self-governing machines, but not in politics.
  13. 23. - Digging deep into data, but not for gold or silver. (4)(6)
  14. 27. - A flow not of water, but of data and algorithms. (6)(4)
  15. 28. - A moral compass for AI, not just for humans.