elspethjane
stevewoolf:

For the last three years, I.B.M. scientists have been developing what they expect will be the world’s most advanced “question answering” machine, able to understand a question posed in everyday human elocution — “natural language,” as computer scientists call it — and respond with a precise, factual answer. In other words, it must do more than what search engines like Googleand Bing do, which is merely point to a document where you might find the answer. It has to pluck out the correct answer itself. Technologists have long regarded this sort of artificial intelligence as a holy grail, because it would allow machines to converse more naturally with people, letting us ask questions instead of typing keywords. Software firms and university scientists have produced question-answering systems for years, but these have mostly been limited to simply phrased questions. Nobody ever tackled “Jeopardy!” because experts assumed that even for the latest artificial intelligence, the game was simply too hard: the clues are too puzzling and allusive, and the breadth of trivia is too wide.
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stevewoolf:

For the last three years, I.B.M. scientists have been developing what they expect will be the world’s most advanced “question answering” machine, able to understand a question posed in everyday human elocution — “natural language,” as computer scientists call it — and respond with a precise, factual answer. In other words, it must do more than what search engines like Googleand Bing do, which is merely point to a document where you might find the answer. It has to pluck out the correct answer itself. Technologists have long regarded this sort of artificial intelligence as a holy grail, because it would allow machines to converse more naturally with people, letting us ask questions instead of typing keywords. Software firms and university scientists have produced question-answering systems for years, but these have mostly been limited to simply phrased questions. Nobody ever tackled “Jeopardy!” because experts assumed that even for the latest artificial intelligence, the game was simply too hard: the clues are too puzzling and allusive, and the breadth of trivia is too wide.

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138 notes Reblogged from stevewoolf

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  1. katyisntfunny reblogged this from spytap and added:
    I might have to dig through my stack of old copies of Wired soon… There was an article a while back about this (or...
  2. kshift reblogged this from newsweek
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  4. pseudonym reblogged this from stevewoolf
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  7. nothingcorp reblogged this from ilgobbomalefico and added:
    Pensiero Profondo!
  8. fuckyeahengineers reblogged this from whisperoftheshot
  9. ilgobbomalefico reblogged this from rispostesenzadomanda
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  11. maybesomethingbeautiful reblogged this from newsweek
  12. opencontainer reblogged this from rispostesenzadomanda
  13. pegobry reblogged this from newsweek and added:
    And you guys think you’re kidding! This is amazing. Reblogged for this “everyday human elocution — “natural language,”...
  14. thisjourney reblogged this from newsweek and added:
    HAL came before skynet.
  15. whisperoftheshot reblogged this from newsweek
  16. microbatdynamo reblogged this from newsweek and added:
    In the immortal words of a wise, wise Great Dane: Ruh-roh!
  17. uniquelythesame reblogged this from newsweek and added:
    As predicted in 2001, HAL will destroy us all.
  18. casiotrumpetmetal reblogged this from gadgetry
  19. snowmandroide reblogged this from newsweek
  20. xx-rapunzel-xx reblogged this from gadgetry and added:
    ————————————— It’s like Deep Thought IRL!
  21. naturewolf reblogged this from abbyjean
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  24. dmtri007 reblogged this from ranajune and added:
    mmm… IBM monolith. ranajune:
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