63. According to the passage, why data is seen as the new coal?
- A. It can drive the steam engine to pump water.
- B. It can help people make more coals.
- C. It can help the areas of deep learning.
- D. It can help cure diagnose rare illnesses.
答案：C
答案句：The problem is similar: there are a lot of Newcomens in the world of deep learning. Startups like London’s Magic Pony and SwiftKey are coming up with revolutionary new ways to train machines to do impressive feats of cognition, from reconstructing facial data from grainy images to learning the writing style of an individual user to better predict which word they are going to type in a sentence. And yet, like Newcomen, their innovations are so much more useful to the people who actually have copious(丰富的) amounts of raw material to work from.
参考译文：问题类似：深度学习领域有很多像纽科门一样的人。像伦敦的Magic Pony和SwiftKey这样的初创公司正在提出革命性的新方法来训练机器完成令人印象深刻的认知壮举，从从模糊图像中重建面部数据到学习个人用户的写作风格以更好地预测他们将在句子中输入哪个单词。然而，像纽科门一样，他们的创新对实际拥有大量原材料可供使用的人来说更有用。
定位线索：题干“why data is seen as the new coal”→答案句“The problem is similar”和“their innovations are so much more useful to the people who actually have copious amounts of raw material”；文中“copious amounts of raw material”对应选项C“the areas of deep learning”（即拥有大量数据的深度学习领域）。
解析：题干问数据为何被视为新煤，答案句指出深度学习领域的创新对拥有大量原材料（即数据）的人更有用，这与煤对拥有煤矿的人更有用的类比一致，因此选C。选项A和B是原文中关于纽科门蒸汽机的内容，与数据无关，属于偷换概念；选项D是原文提到的深度学习应用之一，但并非数据被视为煤的原因，答非所问。
64. According to Lawrence, why big data is less helpful to diagnose rare illnesses?
- A. Because there is no such demand.
- B. Because it can only use to categorize images of cats.
- C. Because it’s unethical to acquire data by forcing people to become sick.
- D. Because it needs too much data.
答案：C
答案句：That’s great if you want to categorize images of cats, but less helpful if you want to use deep learning to diagnose rare illnesses. ‘‘It’s generally considered unethical to force people to become sick in order to acquire data.
参考译文：如果你想对猫的图片进行分类，那很好，但如果你想用深度学习来诊断罕见疾病，那就没那么有用了。‘通常认为，为了获取数据而强迫人们生病是不道德的。’
定位线索：题干“why big data is less helpful to diagnose rare illnesses”→答案句“less helpful if you want to use deep learning to diagnose rare illnesses”和“It’s generally considered unethical to force people to become sick in order to acquire data”；文中“unethical to force people to become sick”对应选项C“it’s unethical to acquire data by forcing people to become sick”。
解析：题干问大数据为何对诊断罕见疾病帮助不大，答案句明确指出因为获取数据需要强迫人生病，这被认为不道德，因此选C。选项A无中生有，原文未提及需求问题；选项B偷换概念，原文说对猫图片分类“很好”，并非“只能”用于此；选项D虽提到数据需求，但未解释为何不道德，不如C直接对应原文。
65. Which areas are most likely to be successful in in-depth learning?
- A. Some small start-ups.
- B. Areas with large amounts of data.
- C. Coal and Petroleum Development Field.
- D. Areas for tackling rare diseases.
答案：B
答案句：“If you look at all the areas where deep learning is successful, they’re all areas where there’s lots of data,” points out Lawrence.
参考译文：“如果你看看深度学习成功的所有领域，它们都是数据量很大的领域，”劳伦斯指出。
定位线索：题干“Which areas are most likely to be successful in in-depth learning”→答案句“all the areas where deep learning is successful, they’re all areas where there’s lots of data”；文中“areas where there’s lots of data”对应选项B“Areas with large amounts of data”。
解析：题干问深度学习最可能在哪些领域成功，答案句直接指出成功领域都是数据量大的领域，因此选B。选项A无中生有，原文提到初创公司但未说它们成功；选项C偷换概念，原文用煤和油作类比，并非指实际领域；选项D与原文相反，原文说罕见疾病领域数据少，因此不成功。
66. According to the content of the article, which is NOT TRUE about the big data?
- A. We still have a lot of work to study the big data.
- B. It requires countless data to be collected.
- C. The purpose of studying big data is to save parents’ costs.
- D. “Data efficiency” is a critical step to explore more data.
答案：C
答案句：a lot of work is going into trying to make sure we can do more, with less. It’s not as impressive as teaching a computer to play Go or Pac-Man better than any human alive, but “data efficiency” is a crucial step if deep learning is going to move away from simply gobbling up oodles of data and spitting out the best correlations possible.
参考译文：大量工作正致力于确保我们能以更少的数据做更多的事情。这虽然不如教计算机下围棋或玩吃豆人比任何活人更好那么令人印象深刻，但如果深度学习要摆脱简单地吞噬大量数据并吐出最佳相关性的模式，“数据效率”是至关重要的一步。
定位线索：题干“which is NOT TRUE about the big data”→答案句“a lot of work is going into trying to make sure we can do more, with less”和“data efficiency is a crucial step”；文中“do more, with less”对应选项A“We still have a lot of work to study”；文中“gobbling up oodles of data”对应选项B“It requires countless data to be collected”；文中“data efficiency is a crucial step”对应选项D“Data efficiency is a critical step”；选项C“save parents’ costs”在原文中无对应。
解析：题干问关于大数据哪项不正确，答案句提到大量工作致力于提高数据效率，对应选项A和D；提到深度学习需要大量数据，对应选项B；但全文未提及“节省父母成本”，选项C无中生有，因此选C。选项A、B、D均能在原文中找到依据，故排除。