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For the past four decades that basic tension between artificial intelligence and intelligence augmentation — A.I. versus I.A. — has been at the heart of progress in computing science as the field has produced a ries of ever more powerful technologies that are transforming the world.
思想政治学习Now, as the pace of technological change continues to accelerate, it has become increasingly possible to design computing systems that enhance the human experience, or now — in a growing number of cas —completely dispen with it.
五黄>安胎中药Watson is an effort by I.B.M. rearchers to advance a t of techniques ud to process human language. It provides striking evidence that computing systems will no longer be limited to responding to simple commands. Machines will increasingly be able to pick apart jargon, nuance and even riddles. In attacking the problem of the ambiguity of human language, computer science is now closing in on what rearchers refer to as the “Paris
Hilton problem” — the ability, for example, to determine whether a query is being made by someone who is trying to rerve a hotel in France, or simply to pass time surfing the Internet.后唐皇帝列表
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Traditionally, economists have argued that while new forms of automation may displace jobs in the short run, over longer periods of time economic growth and job creation have continued to outpace any job-killing technologies. For example, over the past century and a half the shift from being a largely agrarian society to one in which less than 1 percent of the United States labor force is in agriculture is frequently cited as evidence of the economy’s ability to reinvent itlf.
水上森林公园That, however, was before machines began to “understand” human language. Rapid progress in natural language processing is beginning to lead to a new wave of automation that promis to transform areas of the economy that have until now been untouched by technological change.
