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【单选题】

第三篇
In the 1950s, the pioneers of artificial intelce (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 tenmonth-old kid.
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 intelce. 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 (神经) network is a huge step in the right direction, says computer scientist and biophysicist Michael Conrad, but is still misses an important aspect of natural intelce. "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 intelt device, he claims, would be to build it around the same sort of molecular skills.
Right now, the notion 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 A1 rebels could turn out to be the only 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
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题目标签:神经
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【单选题】交感神经的作用是

A.
促进肝糖原分解和糖异生增强,具有升血糖作用
B.
促进肝糖原分解和糖异生增强,具有降血糖作用
C.
促进肝糖原分解和糖异生减弱,具有升血糖作用
D.
促进肝糖原分解和糖异生减弱,对血糖不影响
E.
促进肝糖原分解和糖异生减弱,具有降血糖作用

【单选题】支配斜方肌的神经是( )

A.
副神经
B.
舌咽神经
C.
迷走神经
D.
颈丛
E.
臂丛

【单选题】分布至角膜的神经是

A.
眼神经
B.
动眼神经
C.
视神经
D.
眶下神经
E.
滑车神经

【单选题】不属于臂丛的神经是

A.
膈神经
B.
肌皮神经
C.
桡神经
D.
腋神经
E.
尺神经

【多选题】交感神经

A.
低级中枢位于脊髓胸1至腰3的中间带外侧核
B.
节前纤维短,节后纤维长
C.
兴奋时支气管舒张,瞳孔扩大
D.
周围的分布范围较副交感神经广
E.
节前纤维全部终止于椎旁节

【单选题】出切牙孔的神经为( )

A.
颧神经
B.
腭中神经
C.
鼻腭神经
D.
腭前神经
E.
上牙槽前神经

【单选题】拔除时应麻醉的神经是

A.
眶下神经+腭后神经
B.
上牙槽前神经+上牙槽后神经+腭前神经
C.
上牙槽后神经+上牙槽中神经+鼻腭神经
D.
上牙槽后神经+上牙槽中神经+腭前神经
E.
上牙槽后神经+腭前神经