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Much of the information that is sent back from space is useless. Pictures taken by

英语试题 05-03
Much of the information that is sent back from space is useless. Pictures taken by satellites orbiting the Earth might take days to download, only to show lots of cloud hiding the area of interest. The subject matter may also be surrounded by irrelevant information.
Processing data in space before sending back would reduce unnecessary information, but this can be tricky. Rays in the universe randomly flip the ones and zeroes that computers operate on, introducing unpredictable errors. High levels of radiation can also damage electronic circuits (电子电路). KP Labs, based in Poland, is building a satellite to overcome some of these problems. Their device, called Inuition-1, is controlled by a neural network, a form of artificial intelligence modeled on the human brain.
Intuition-l will be equipped with a hyper spectral imager (超光谱成像仪), which takes 150 pictures of every scene it looks at. Each picture is at a different frequency, so contains different information. The neural network pieces these together using powerful graphics chips (芯片) hardened against radiation. The developers have also built error correction into their software. But instead of sending back every bit of image data, the satellite will summarize what the user requests as useful information. This might, for instance, be a heat map showing areas of weeds in a field or the location of a forest fire. Reducing the data loud means that some of the information can be sent live.
The satellite will be used to prove that a hardened neural network can survive in space. This could pave the way for other space applications. For example, the Curiosity rover (探测器) on Mars was successfully upgraded in 2016 with a set of algorithms to detect “interesting” rocks for investigation, instead of picking them randomly. A neural network could provide future rovers and deep-space probes with a better ability to make decisions.
The neural network and hyper spectral imager have already been built and tested by KP labs. They will go into a satellite body being constructed by Clyde Space. After that there will be more intelligence in space.
12. Why does the author say processing data in the universe can be very tricky?
A. Rays and radiation disturbs data processing.
B. The pictures taken by satellites are not so clear.
C. The data to be processed are not accurate enough.
D. Processing data in the universe is time-consuming.
13. What do we learn about Intuition-l?
A. It can take pictures much faster.
B. It can survive much longer in space.
C. It can correct mistakes from users’ request.
D. It can improve the stability of data processing.
14. What does the underlined phrase “pave the way” in Paragraph 4 mean?
A. Set an example. B. Remove barriers.
C. Reduce the cost. D. Increase the efficiency.
15. What’s the text mainly about?
A. The ways of dealing with data.
B. The importance of collecting data.
C. The upgrade of processing space images.
D. The potential influence of AI in the universe.

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