《2025年通成学典课时作业本高中英语选择性必修第一册人教版》

一、阅读理解
(2025·广东省东莞市五校期中联考)
Artificial intelligence (AI) is showing promise in earthquake prediction, challenging the long-held belief that it is impossible. Researchers at the University of Texas at Austin have developed an AI algorithm(算法) that correctly predicted 70% of earthquakes a week in advance during a trial in China and provided accurate strength calculations for the predicted earthquakes.
The research team believe their method succeeded because they stuck with a relatively simple machine learning approach. The AI algorithm was provided with a set of statistical features based on the team's knowledge of earthquake physics, and then instructed to train itself using a five-year database of earthquake recordings. Once trained, the AI provided its prediction by listening for signs of incoming earthquakes within the background rumblings(隆隆声) in the Earth.
This work is clearly a milestone in research on AI-driven earthquake prediction. "You don't see earthquakes coming," explains Alexandros Savvaidis, a senior research scientist who leads the Texas Seismological Network Program (TexNet). "It's a matter of milliseconds, and the only thing you can control is how prepared you are. Even with the 70% accuracy, that's a huge result and could help minimize economic and human losses and has the potential to remarkably improve earthquake preparation worldwide."
While it is unknown whether the same approach will work at other locations, the researchers are confident that their AI algorithm could produce more accurate predictions if used in areas with reliable earthquake tracking networks. The next step is to test it in Texas, where UT's bureau's TexNet has 300 earthquake stations and over six years of continuous records, making it an ideal location for the purpose.
Eventually, the authors hope to combine the system with physics-based models. This strategy could prove especially important where data is poor or lacking. "That may be a long way off, but many advances such as this one, taken together, are what moves science forward," concludes a researcher.
1. How does the AI algorithm forecast earthquakes?
A. By identifying data from the satellites.
B. By analyzing background sounds in the Earth.
C. By modelling data based on earthquake recordings.
D. By monitoring changes in the Earth's magnetic field.
2. What does Alexandros Savvaidis intend to show in Paragraph 3?
A. The ways to reduce losses in earthquakes.
B. The importance of preparing for earthquakes.
C. The significance of developing the AI in earthquake prediction.
D. The limitation of AI algorithms in earthquake prediction.
3. What does the follow-up research focus on?
A. Conducting tests at different locations.
B. Applying the AI approach to other fields.
C. Building more earthquake stations in Texas.
D. Enlarging the database to improve the calculation accuracy.
4. Which words can best describe the earthquake-predicting technology?
A. Stable but outdated.
B. Effective but costly.
C. Potential and economical.
D. Pioneering and promising.

答案： [语篇解读]本文是一篇新闻报道，主要报道了利用人工智能预测地震的新方法，该方法在试验中展现出较高的准确率，为地震预测领域带来了希望。
1. B 细节理解题。根据第二段中“Once trained ... the Earth. ”可知，人工智能算法通过分析地球上的背景隆隆声来预测地震。
2. C 推理判断题。根据第三段内容可知，在本段中Alexandros Savvaidis想要表明在预测地震方面发展人工智能的意义。
3. A 细节理解题。根据第四段中“The next step ... the purpose. ”可知答案。
4. D 推理判断题。通读全文可知，这项技术是一个里程碑，人工智能算法可以生成较为准确的预测。由此可知，地震预测技术是开创性的且充满希望的。