在钢丝绳缠乱时，司机应该怎么办？

Passage Two

In the 1920s, 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 are 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.

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 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 AL 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 missed an important aspect of natural intelligence. "People tend to treat 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 brains’ 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 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 AI rebels could turn out to be the only game in town.

Conrad and his group of AI researchers have been making enormous efforts to （）.

A．find a roundabout way to design powerful computers

B．build a computer using a clever network of switches

C．find out how intelligence developed in nature

D．separate the highest and most abstract levels of thought

什么部件是阻碍存储性能提升的主要瓶颈.（）

A.内存

B.硬盘

C.CPU

D.FC接口

甲状舌管囊肿穿刺检查可抽出（）。

A.黄色液体

B.乳白色液体

C.豆渣样分泌物

D.血性液体

4，5，9，12，14，19，( )

A．27

B．23

C．19

D．17

可引起全身淋巴结肿大的疾病是（）

A.急性咽炎

B.慢性鼻炎

C.白血病

D.鼻咽癌

E.淋巴结结核