AI: A Return to Meaning - From Theory-Driven to Data-Driven Approaches

AI: A Return to Meaning - From Theory-Driven to Data-Driven Approaches

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Intro

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Intro

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AI: A Return to Meaning - From Theory-Driven to Data-Driven Approaches

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  1. 1 Intro
  2. 2 Outline
  3. 3 Artificial Intelligence
  4. 4 MEANING IS NOT EXPLICIT IN LANGUAGE
  5. 5 A practical perspective on Al...
  6. 6 Theory-Driven Beginnings
  7. 7 Data-Driven Success
  8. 8 A Painfully Simple Decision
  9. 9 Galoshes: Theory Version 1.0
  10. 10 Galoshes Data Version 1.0
  11. 11 Galoshes Data Version 1.1
  12. 12 Is Intelligence simply finding the functions that map input data to the output data
  13. 13 Data, Reason and Expected Value
  14. 14 Jeopardyl: A great challenge for advancing Al. Specifically in the areas of natural language understanding
  15. 15 What It Takes to Win!
  16. 16 Decompose and Synthesize
  17. 17 Multi-Step Challenges
  18. 18 The Jeopardy Contest: Human vs. Machine
  19. 19 Reflections on Watson
  20. 20 We need machines to go beyond the words and their patterns. We need them to UNDERSTAND.

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