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[六级大学英语阅读] 英语六级考试冲刺阅读精选二

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  In the 1950sthe pioneers of artificial intelligenceAIpredicted thatby the end of this centurycomputers would be conversing with us at work and robots would be performing our housework. But as useful as computers aretheyre nowhere close to achieving anything remotely resembling these early aspirations for humanlike behavior. Never mind something as complex as conversationthe most powerful computers struggle to reliably recognize the shape of an objectthe most elementary of tasks for a ten-month-old kid.

  A growing group of AI researchers think they know where the field went wrong. The problemthe scientists sayis that AI has been trying to separate the highestmost abstract levels of thoughtlike language and mathematicsand to duplicate them with logicalstep-by-step programs. A new movement in AIon the other handtakes a closer look at the more roundabout way in which nature came up with intelligence. Many of these researchers study evolution and natural adaptation instead of formal logic and conventional computer programs. Rather than digital computers and transistorssome want to work with brain cells and proteins. The results of these early efforts are as promising as they are peculiarand the new nature-based AI movement is slowly but surely moving to the forefront of the field.

  Imitating the brains neural (神经的) network is a huge step in the right directionsays computer scientist and biophysicist Michael Conradbut it still misses an important aspect of natural intelligence. People tend to treat the brain as if it were made up of color-coded transistorshe explainsbut its not simply a clever network of switches. There are lots of important things going on inside the brain cells themselves. SpecificallyConrad believes that many of the brains capabilities stem from the pattern recognition proficiency of the individual molecules that make up each brain cell. The best way to build and artificially intelligent devicehe claimswould be to build it around the same sort of molecular skills.

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