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  • So really we're on the brink, I think, of a transformation

    是以,我認為,我們確實處於轉型的邊緣。

  • in the way science is done.

    在科學完成的方式。

  • Not only tackling the problem of climate change

    不僅要解決氣候變化的問題

  • and trying to find solutions,

    並試圖找到解決方案。

  • but also actually trying to understand the system itself.

    但實際上也在努力瞭解這個系統本身。

  • So some of the technological advances that we might be able to use

    是以,我們可能能夠使用的一些技術進步

  • to combat climate change involve the ability

    應對氣候變化的能力包括

  • to generate energy in sustainable ways.

    以可持續的方式產生能源。

  • The question today is can we make solar panels or other materials

    今天的問題是,我們能否使太陽能板或其他材料

  • that are capable of generating energy in useful ways?

    能夠以有用的方式產生能量的?

  • In the past, scientists and engineers have developed new materials,

    在過去,科學家和工程師已經開發了新材料。

  • but in rather a haphazard way.

    但是以一種相當草率的方式。

  • Thomas Edison created the lightbulb

    托馬斯-愛迪生創造了電燈泡

  • but he developed the original filament

    但他開發了原始長絲

  • by testing thousands of materials to find eventually the one that worked.

    通過測試數以千計的材料,最終找到一個有效的材料。

  • Today we can use machine learning and artificial intelligence

    今天,我們可以利用機器學習和人工智能

  • in our search for new materials.

    在我們尋找新材料的過程中。

  • The reason that we can do it better in the computer

    我們之所以能在計算機中做得更好,是因為

  • is that the computer allows millions of potential solutions

    是,計算機允許數以百萬計的潛在解決方案

  • to be searched in ways that you couldn't do in the lab.

    以你在實驗室裡做不到的方式進行搜索。

  • The reason that AI is important in the development of our understanding

    人工智能在我們的理解發展中很重要的原因是

  • of the Earth's system is that we're getting more and more data

    地球的系統是,我們正在獲得越來越多的數據

  • about the Earth as time goes on.

    隨著時間的推移,關於地球。

  • So today we collect satellite data,

    所以今天我們收集衛星數據。

  • remote sensing observations allow us now

    遙感觀測使我們現在能夠

  • to look at the patterns of landslides.

    來觀察山體滑坡的模式。

  • As climate is changing, as weather patterns change,

    隨著氣候的變化,隨著天氣模式的變化。

  • is the land being more destabilised by excess water?

    過量的水是否使土地更加不穩定?

  • Or are the erosion patterns in the mountains

    還是山區的侵蝕模式?

  • changing as climate changes?

    隨著氣候的變化而變化?

  • Extreme weather events as a result of climate change

    氣候變化導致的極端天氣事件

  • do appear to be on the increase.

    看起來確實在增加。

  • But there's another aspect of this - cities are getting bigger,

    但這還有另一個方面--城市正在變得更大。

  • areas that have always been vulnerable to natural hazards.

    一直以來都很容易受到自然災害影響的地區。

  • With so many people potentially at risk,

    有如此多的人可能面臨風險。

  • it becomes important to understand the system very quickly.

    迅速瞭解這個系統變得非常重要。

  • Examples include understanding the ways in which

    例子包括瞭解以下方式

  • to respond to a situation.

    以應對某種情況。

  • Where to send the first responders.

    將第一反應者送到哪裡。

  • Which hospital is put on high alert.

    哪家醫院被置於高度警戒狀態。

  • Where to send relief supplies, who needs tents.

    在哪裡發送救援物資,誰需要帳篷。

  • So all of these sorts of disaster relief processes

    是以,所有這類救災過程

  • depend upon information.

    取決於資訊。

  • And we know, as we travel around congested cities,

    而且我們知道,當我們在擁擠的城市中旅行時。

  • that we spend a lot of time sitting in traffic,

    我們花了很多時間坐在交通上。

  • burning energy, getting nowhere.

    燃燒能量,毫無進展。

  • Autonomous vehicles provide routes

    自主車輛提供路線

  • to making transport systems more effective, more efficient,

    使運輸系統更有效、更高效。

  • so that you don't have these waves of static traffic on a motorway.

    這樣,你就不會在高速公路上出現這些靜態的交通浪潮了。

  • That everything is moving at the right speed

    一切都在以正確的速度發展

  • and gets from one place to another in the most effective way,

    並以最有效的方式從一個地方到另一個地方。

  • the most efficient way.

    最有效的方式。

  • That's not something that, as individuals,

    這不是什麼,作為個人。

  • we're very good at planning for ourselves.

    我們非常善於為自己計劃。

  • So if we want to reduce, recycle, reuse, can AI help us?

    是以,如果我們想減少、回收、再利用,人工智能能幫助我們嗎?

  • Well maybe. But it depends upon our motivation.

    嗯,也許吧。但這取決於我們的動機。

  • AI is a tool, it's not a master, and so our responses ultimately

    人工智能是一種工具,它不是主人,是以我們的反應最終是

  • will depend upon our own personal motivations,

    將取決於我們自己的個人動機。

  • and those of the society that we're part of.

    和我們所處的社會的人。

  • But AI and machine learning can help us move in the right direction.

    但人工智能和機器學習可以幫助我們朝著正確的方向前進。

So really we're on the brink, I think, of a transformation

是以,我認為,我們確實處於轉型的邊緣。

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B1 中級 中文 變化 人工 智能 氣候 材料 有效

人工智能幫助應對氣候變化的四種方式 | BBC創意 (Four ways AI can help tackle climate change | BBC Ideas)

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    Summer 發佈於 2021 年 04 月 22 日
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