Period Three Lesson 2 Aha Moment 【语言知识梳理】 词汇点睛 1.(1)①Emerging ②emergence ③emergency (2)①emerged from the bottom of my heart ②With the emergence of the mobile Internet; With the mobile Internet emerging/As the mobile Internet is emerging 2.(1)①evaluation(s) ②Evaluating ③To evaluate (2)to make an evaluation ofPeriod Three Lesson 2 Aha Moment Ⅰ.1.emergence 2.evaluation 3.clueless 4.occurrence 5.discovery 6.inspirational 7.elaboration Ⅱ.1.by coincidence 2.All of a sudden 3.getting involved in 4.burying herself in 5.shouting out Ⅲ.1.As is known to all 2.what mum received was not only a bunch of flowers 3.that we are lucky enough to have clean water 4.while others are struggling to make/earn a living 5.It suddenly occurred to me Ⅳ.A 【文章大意】 本篇是说明文,介绍了一项对鸽子的研究发现:鸽子通过是否得到食物来判断自己的对错从而不断提高自己辨别物体的准确性,鸽子解决问题的能力和人工智能相似。 1.A 细节理解题。文章第一段讲到“Each bird had to peck (啄) a button on the right or left to decide which category they belonged to. If they got it correct, they got food;if they got it wrong, they got nothing.”可知,研究人员给鸽子布置的任务是让它们把相似的物品归类,也就是辨别相似的物件。故选A。 2.C 细节理解题。文章第一段讲到“If they got it correct, they got food; if they got it wrong, they got nothing.”以及文章第二段讲到“Instead they learn through trial and error.”可知,鸽子通过是否得到食物来判断自己的对错从而不断提高自己辨别物体的准确性。故选C。 3.C 推理判断题。文章倒数第二段内容可知,鸽子解决问题的能力和人工智能相似。故选C。 4.B 推理判断题。文章最后一段讲到“They are hoping that these findings can have practical applications in better understanding human brain damage.‘Maybe we can get some further insight into what is going on in that little bird brain.’”可知,作者是在谈论对未来研究的期待。故选B。 B 【文章大意】 本文是说明文。文章主要讲述了开发新材料需要大量的时间和劳动力,但一个化学家研究团队研发出一种人工智能模型ChatGPT用来执行搜索科学文献的任务。有了这些数据,他们建立了第二个工具,一个预测实验结果的模型,被他们称为“ChatGPT化学助手”。 5.B 细节理解题。根据第一段“In a new study in the Journal of the American Chemical Society, a team used a popular AI model, ChatGPT, to perform one particularly time-consuming task: searching scientific literature. With that data, they built a second tool, a new model to predict experimental results.”可知,研究小组希望这个新模型能分析数据并预测实验室结果。故选B项。 6.B 推理判断题。根据第二段“For example, those interested in designing highly porous, crystalline (晶体) metal-organic frameworks (MOFs)—which have potential applications in areas such as clean energy—must sort through hundreds of scientific papers describing a variety of experimental conditions. Researchers have previously attempted to let AI take over this task; however, the language processing models they used required significant technical expertise,and applying them to new topics meant changing the program.”可知,文中提 ... ...
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