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英語 高校生

不適切なものを選ぶ問題です! 解答の根拠を教えていただきたいです🙇‍♀️ 答えは上から、 2.3.3.2.4.1.3.3.3.4.です。

(1) Earthquake drills are important and should do on a regular basis in preparation for emergencies. 11 2 3 (2) It is known to everyone that Nancy is the most talented than any other student in the village. 12 2 3 2 3 (3) In contrast to its low price, this hotel has the best service of any I was experienced and I am very satisfied with it. 13 (4) Marie Curie was famous for being a first woman to win a Nobel Prize in Physics, and later I another one in Chemistry. 14 3 4 2 3 (5) While eating and sleeping are indeed essential for humans to lead active lives, we recognize 1 that there could have emerged many other important factors. 15 (6) Preserving traditional customs and to take in new cultures have been discussed by many researchers in various academic journals. 16 2 3 (7) The island I live on is only 50 kilometers from a neighboring country, which is so close that the land is visibly to the naked eye. 17 3 1 2 (8) In determining the class president, three students applied for the position, but in them only 1 2 Thomas succeeded in making a good impression. 18 3 (9) Thanks to Barbara's contribution, we were able to finish the event successfully. If she had not 1 2 constant directed the staff, it would have been an absolute failure. 19 3 (10) A number of protests by dissatisfied employees of the company occurred mainly in Boston ī there in the 1980s. 20 2 3

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英語 高校生

線を引いたところの訳し方を丁寧に教えて頂きたいです🙇‍♀️

L American poet Ralph Waldo Emerson once said, "Every artist was first an amateur." He likely never thought those words would apply to machines. Yet artificial intelligence (AI) has demonstrated a growing talent for creativity, whether writing a heavy-metal rock album or producing an original portrait that is strikingly similar to a Rembrandt. Applying AI to the art world might seem unoriginal; there are, of course, plenty of humans delivering awe-inspiring work. Supporters say, however, the real beauty of training AI to be creative does not lie in the end product-but rather in the technology's potential to expand on its own machine-learning education, and to solve problems by thinking in different ways far faster and better than humans can. For example, creative problem-solving AI could someday make snap decisions that save the lives of the passengers in a self-driving car if its sensors fail. AI with a creative component will be essential in developing highly automated systems that can respond appropriately to human life, says Mark Riedl, an associate professor at Georgia Institute of Technology's School of Interactive Computing. "The fact is, we do lots of little bits of creativity every single day; lots of problem-solving goes on," Riedl says. "If my son gets a toy stuck under the couch, I have to devise a tool from a hanger to get it out." Riedl points out human creativity is also important in human social interactions, even telling a well-timed joke or recognizing a pun. Computers struggle with such subtleties. An incomplete understanding of how humans construct metaphors, for example, was all it took for an experiment in Al-generated literature to compose a new Harry Potter chapter filled with nonsensical sentences such as, "The floor of the castle seemed like a large pile

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英語 高校生

(4)について This is why にしてしまいました。  This is becauseというようなThis is whyの表現ではだめな理由を教えてください

(60分) Ⅰ 次の英文を読んで、下の設問 (1)~ (11) の語には注が付いています。 に答えなさい。 なお、 Food is fuel. When your body needs energy, you eat. When it doesn't you don't. It should be so simple when you think about it, but that's exactly the problem: us big smart humans can and do think about it, (, introduces all manner of problems and neuroses*. Have you noticed how you always have "room for dessert"? You might have just eaten the best part of a cow, or enough cheesy pasta to sink a gondola, but you can manage that fudge brownie or sundae. Why? How? If your stomach is full, how ice cream triple-scoop b) eating more even physically possible? It's largely because your brain makes an executive decision and decides that, no, you still have room. The sweetness of desserts is a palpable* reward (7)that the brain recognizes and wants so it overrules the stomach. C Exactly {c case is ③ is 4 the this why) uncertain. It may be that humans need quite a complex diet in order to remain in tip-top* condition, so rather than just relying on our basic metabolic systems to eat whatever is available, the brain steps in and tries to regulate our diet better. And this would be fine if that was all the brain does. But it doesn't. So it isn't. Learned associations are incredibly powerful when it comes ( d ) eating. You may be a big fan of something like, say, cake. You can be eating cake for years without any bother, then one day you eat some cake that makes you vomit. Could be some of the cream in it has gone sour; it might contain an ingredient you're allergic to; or (and here's the annoying one) it could be that something else entirely made you throw up shortly after eating cake. out of The disgust eating poiso g And it consider th The brain than food, it doesn't worryingl needlessl one of li shovelin the brai (注) (1) (2

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TOEIC・英語 大学生・専門学校生・社会人

下線部(1)の文構造が分かりません。特に2行目の文構造が分かりません。強調のdoであることは分かりますが、その後のthat以降が関係詞?かすらも分からないので、誰か教えて下さい!

次の英文は1991年に出版された本からのもので、 研究分野としての「人工知 能」 (Artificial Intelligence) について述べています。 下線部(1)~(3)を日本語に訳 しなさい。 What is Artificial Intelligence (AI)? Just about the only characterization of Al that would meet with universal acceptance is that it involves trying to make machines do tasks which are normally seen as requiring intelligence. There are countless refinements of this characterization: what sort of machines we want to consider; how we decide what tasks require intelligence and so on. One of the most important questions concerns the reasons why we want to make machines do such tasks. AI has always been split between people who want to make machines do tasks that require intelligence because they want more useful machines, and people who want to do it because they see it as a way of exploring how humans do such tasks. We will call the two approaches the engineering approach and the cognitive-science respectively. (2) (1) approach The techniques required for the two approaches are not always very different. For many of the tasks that engineering AI wants solutions to, the only systems we know about that can perform them are humans), so that, at least initially, the obvious way to design solutions is to try to mimic what we know about humans. For many of the tasks that cognitive-science Al wants solutions to, the evidence on how humans do them is too hard to interpret to enable us to construct computational models, so the only approach is to try to design solutions from scratch" and then see how well they fit what we know about humans. The main visible difference between the two approaches is in (3) their criteria for success; an engineer would be delighted to have create something that outperformed a person; a cognitive scientist would regard it as a failure. -1- M7 (492-61

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