题目内容
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[单选题]
I’d like the egg cooked ______ side up, fried on only one side, with the yolks intact, and runny.
A.yellow
B.golden
C.sunny
D.soft
提问人：网友twy1119
发布时间：2022-01-07
题目内容
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第2题
2. Greeting is a(n) _______ _______to a conversation when meeting people after some time.
A、good subject
B、proper start
C、interesting beginning
D、all above
第3题
A survey has ________________ with some interesting information about the cost of living in our major cities.
A、A come up
B、B show up
C、C put up
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第4题
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第5题
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第6题
____ refers to a process that continuously identifies, understands, and adapts outstanding processes inside and outside an organization.
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第7题
In the 1950s, the pioneers of artificial intelligence (AI) predicted that, by the end of this century, computers would be conversing with us at work and robots would be performing our housework. But as useful as computers are, they're nowhere close to achieving anything remotely resembling these early aspirations for humanlike behavior. Never mind something as complex as conversation: the most powerful computers struggle to reliably recognize the shape of an object, the most elementary of tasks for a ten-month-old kid.
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A growing group of AI researchers think they know where the field went wrong. The problem, the scientists say, is that AI has been trying to separate the highest, most abstract levels of thought, like language and mathematics, and to duplicate them with logical, step-by-step programs. A new movement in AI, on the other hand, takes 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 transistors, some want to work with brain cells and proteins. The results of these early efforts are as promising as they are peculiar, and the new nature-based AI movement is slowly but surely moving to the forefront of the field.
Imitating the brain's neural network is a huge step in the right direction, says computer scientist and biophysicist Michael Conrad, but it still misses an important aspect of natural intelligence. "People tend to treat the brain as if it were made up of color-coded transistors", he explains, "but it's not simply a clever network of switches. There are lots of important things going on inside the brain cells themselves. " Specifically, Conrad believes that many of the brain's capabilities stem from the pattern recognition proficiency of the individual molecules that make up each brain cell. The best way to build an artificially intelligent device, he claims, would be to build it around the same sort of molecular skills.
Right now, the option that conventional computers and software are fundamentally incapable of matching the processes that take place in the brain remains controversial. But if it proves true, then the efforts of Conrad and his fellow AI rebels could turn out to be the only game in town.
The author says that the powerful computers of today ______.
A．are capable of reliably recognizing the shape of an object
B．are close to exhibiting humanlike behavior
C．are not very different in their performance from those of the 50's
D．still cannot communicate with people in a human language
