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The more time scientists spend designing computers, the more they marvel at

游客2024-06-05  34
问题     The more time scientists spend designing computers, the more they marvel at the human brain. Tasks that stump the most advanced supercomputer—recognizing a face, reading a handwritten note are child’s play for the 3-1b. organ. Most important, unlike any conventional computer, the brain can learn from its mistakes. Researchers have tried for years to program computers to imitate the brain’s abilities, but without success. Now a growing number of designers believe they have the answer: if a computer is to function more like a person and less like an over-grown calculator, it must be built more like a brain, which distributes information across a vast interconnected web of nerve cells, or neurons.
    Conventional computers function by following a chainlike sequence of detailed instructions. Although very fast, their processors can perform only one task at a time. This approach works best in solving problems that can be broken down into simpler logical pieces. The processors in a neural-network computer, by contrast, form a grid much like the nerve cells in the brain. Since these artificial neurons are interconnected, they can share information and perform tasks at the same time. This two-dimensional approach works best at recognizing patterns.
    Instead of programming a neural-network computer to make decisions, its maker trains it to recognize the patterns in any solution to a problem by repeatedly feeding examples to the machine Neural networks come in all shapes and sizes. Until now most existed as software simulations because redesigning computer chips took a lot of time and money. By experimenting with different approaches through software rather than hardware, scientists have been able to avoid costly mistakes. [br] What does the expression "this two-dimensional approach" (Para. 2) refer to?
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答案 Sharing information and performing tasks.
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