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For decades, environmental scientists have faced a problem too big for any one person to solve. The planet is changing fast, and the data is growing faster than anyone can read. A single satellite can send back thousands of images in a day. A single ocean sensor can record millions of numbers in a week. No human team can keep up. But artificialintelligence can.
AI is changing how we study the environment. Computers can now look at satellite images and identify areas where forests are disappearing, even before people on the ground notice. They can analyzeocean water and predict where pollution will spread next. They can listen to the calls of birds and tell researchers whether a species is growing or declineing. These tasks used to take years. Now they take days, or even hours.
This does not mean that scientists are no longer needed. AI is a tool, not a replacement. It can find patterns in huge amounts of data, but it cannot explain why those patterns exist. It can predict a drought, but it cannot tell farmers what to plant. The best results come when humans and machines work together. The computer does the counting, and the scientist does the thinking. Together, they can see problems earlier and act faster.
There are risks, of course. AI is only as good as the data it learns from. If the data is wrong, the predictions will be wrong too. And no computer can replace the care that comes from a person who truly loves the natural world. But used wisely, AI gives us something we have never had before: the chance to understand the planet in real time, and to protect it before it is too late. The forest that is cut down today cannot be put back tomorrow. But the forest that is watched by AI may never be cut down at all.
几十年来,环境科学家面临着一个任何个人都无法解决的问题。地球变化很快,数据增长的速度超过了任何人的阅读能力。一颗卫星一天可以发回几千张图像。一个海洋传感器一周可以记录数百万个数字。没有人类团队能跟得上。但人工智能可以。AI正在改变我们研究环境的方式。计算机现在可以查看卫星图像,识别森林正在消失的地区,甚至在地面上的人注意到之前。它们可以分析海水,预测污染接下来会扩散到哪里。它们可以听鸟的叫声,告诉研究人员一个物种是在增长还是在减少。这些任务过去需要几年,现在只需要几天,甚至几小时。这并不意味着科学家不再被需要。AI是工具,不是替代品。它可以在海量数据中发现模式,但无法解释这些模式为什么存在。它可以预测干旱,但无法告诉农民该种什么。最好的结果来自人类和机器的合作。计算机做计数,科学家做思考。一起,他们可以更早发现问题,更快采取行动。当然也有风险。AI的好坏取决于它学习的数据。如果数据错了,预测也会错。而且没有计算机能替代一个真正热爱自然世界的人所怀有的关怀。但如果使用得当,AI给了我们前所未有的东西:实时了解地球的机会,以及在为时已晚之前保护它的机会。今天被砍伐的森林明天无法复原。但被AI监控的森林可能根本不会被砍伐。
第一段讲"数据太多,人看不完"。环境scientist(/ˈsaɪəntɪst/,科学家)。planet(/ˈplænɪt/,星球)变化快。data(/ˈdeɪtə/,数据)增长快。satellite(/ˈsætəlaɪt/,卫星)发回image(/ˈɪmɪdʒ/,图像)。海洋sensor(/ˈsensə(r)/,传感器)记录数字。artificial(/ˌɑːtɪˈfɪʃl/,人工的)intelligence(/ɪnˈtelɪdʒəns/,智能)可以跟上。 第二段讲"AI如何帮助环保研究"。研究environment(/ɪnˈvaɪrənmənt/,环境)。forest(/ˈfɒrɪst/,森林)正在disappear(/ˌdɪsəˈpɪə(r)/,消失)。analyze(/ˈænəlaɪz/,分析)ocean(/ˈəʊʃn/,海洋)水。predict(/prɪˈdɪkt/,预测)pollution(/pəˈluːʃn/,污染)spread(/spred/,扩散)。species(/ˈspiːʃiːz/,物种)增长或decline(/dɪˈklaɪn/,下降)。过去几年,现在几小时。 第三段讲"AI是工具不是替代"。不是replacement(/rɪˈpleɪsmənt/,替代品)。发现pattern(/ˈpætn/,模式)但无法解释原因。预测drought(/draʊt/,干旱)但无法告诉农民种什么。人类和机器合作,计算机计数,科学家思考。 第四段讲"风险与希望"。有risk(/rɪsk/,风险)。数据错了prediction(/prɪˈdɪkʃn/,预测)也错。但使用得当,AI给了我们实时了解和protect(/prəˈtekt/,保护)地球的机会。被AI监控的森林可能根本不会被砍伐。 |
【补充参考·本篇单词汇总】 1. environment /ɪnˈvaɪrənmənt/ n. 环境 2. scientist /ˈsaɪəntɪst/ n. 科学家 3. data /ˈdeɪtə/ n. 数据 4. satellite /ˈsætəlaɪt/ n. 卫星 5. image /ˈɪmɪdʒ/ n. 图像 6. sensor /ˈsensə(r)/ n. 传感器 7. artificial /ˌɑːtɪˈfɪʃl/ adj. 人工的 8. intelligence /ɪnˈtelɪdʒəns/ n. 智能 9. forest /ˈfɒrɪst/ n. 森林 10. disappear /ˌdɪsəˈpɪə(r)/ v. 消失 11. analyze /ˈænəlaɪz/ v. 分析 12. ocean /ˈəʊʃn/ n. 海洋 13. predict /prɪˈdɪkt/ v. 预测 14. pollution /pəˈluːʃn/ n. 污染 15. spread /spred/ v. 传播 16. species /ˈspiːʃiːz/ n. 物种 17. decline /dɪˈklaɪn/ v. 下降 18. pattern /ˈpætn/ n. 模式 19. drought /draʊt/ n. 干旱 20. replacement /rɪˈpleɪsmənt/ n. 替代品 21. risk /rɪsk/ n. 风险 22. prediction /prɪˈdɪkʃn/ n. 预测 23. protect /prəˈtekt/ v. 保护 24. planet /ˈplænɪt/ n. 星球 |
💡 互动一下:你觉得AI能帮助解决环境问题吗?这24个词你认识几个?评论区聊聊! |