科技與自然
With the number of serious natural disasters on the rise worldwide as an effect of climate change, “the need for accurate predictions and early warnings has never been greater.”
由於氣候變遷的影響，全球嚴重自然災害的次數呈上升趨勢，「準確預測和預警的需求從未如此迫切。」
severe(adj.)嚴重的on the rise=on the increase上升中、增加中as an effect of~作為～的影響、由於～的緣故accurate(adj.)精確的accuracy(n.)精確
As a result, artificial intelligence — with its ability to “quickly and efficiently” process data — is becoming a key element in predicting everything from typhoons to wildfires in order to help save lives and lessen the impact of natural disasters.
因此，人工智慧憑藉其「快速且高效」處理數據的能力，正成為預測颱風和野火等自然災害的關鍵要素，以幫助拯救生命並減少自然災害的影響。
as a result因此=consequently=thereforeartificial intelligence人工智慧(AI)efficiently(adv.)有效率地process(v.)(n.)處理in the process of~在～的過程中a key element in... ...的關鍵因素lessen(v.)減少
Traditionally, the prediction of natural hazards has relied heavily on the processing of historical data, but has struggled with integrating up-to-the-minute environmental changes into forecasting.
傳統上，自然災害的預測主要依賴歷史數據的處理，但在將最新的環境變化納入預測方面卻遭遇困難。
hazard(n.)危險=dangeroccupational hazards職業災害rely on仰賴、依賴=depend onhistorical(adj.)歷史的historic(adj.)有歷史價值或意義的historic building古蹟struggle with V-ing因～掙扎、遭遇困難integrate A into B將～融入、整合進～
According to AI Insights, this is where AI, especially machine learning, comes into play.
根據美國公司AI Insights的說法，這正是人工智慧，特別是機器學習的用武之地。
insight(n.)(深入的)見解come into play投入使用、起作用
Through the use of algorithms, machine learning models can not only analyze patterns and trends of natural hazards from the past but also “process real-time data” to help scientists better predict and prepare for natural disasters.
透過使用演算法，機器學習模型不僅可以分析過去自然災害的模式和趨勢，還能「處理即時數據」，幫助科學家更準確地預測和防範自然災害。
through(prep.)透過algorithm(n.)演算法not only...but also...不僅...而且...analyze(v.)、analysis(n.)分析process(v.)處理real-time(adj.)即時的
As noted in a December 2023 FedScoop article, AI is a critical component of “forecasting models for…severe storms, hurricanes, floods, and wildfires.”
根據FedScoop 2023年12月的一篇文章，人工智慧是「針對⋯⋯強烈暴風、颶風、洪水和野火的預測模型」的重要組成部分。
as noted in...正如同...中所提到的(as為準關係代名詞的用法)component(n.)組成部分
In a study from the same month, the U.S. Government Accountability Office found that the use of machine learning can reduce the time in forecasting natural hazards while increasing the accuracy and reducing uncertainty in prediction models.
美國政府問責署在同月的一項研究中發現，使用機器學習可以縮短預測自然災害所需的時間，同時提高模型的準確性，並減少不確定性。
accountability(n.)負責;問責accountable(adj.)有責任的hold sb. accountable for sth.要某人為某事負責certain(adj.)確定的uncertain(adj.)不確定的uncertainty(n.)不確定性
Consequently, authorities have been using AI to help them make more informed decisions that can save lives and improve disaster response.
因此，當局一直在使用人工智慧幫助他們做出更明智的決策，從而挽救生命，並改善災害應對。
authorities(n.)當局informed(adj.)明智的;知情的
Finally, AI Insights points out that while machine learning is also used to help predict the “likelihood and severity” of earthquakes in certain regions, it is also an important part of early warning systems.
最後，AI Insights指出，雖然機器學習也被用於幫助預測某些地區發生地震的「可能性和嚴重性」，但它也是早期預警系統的重要組成部分。
point out指出likelihood(n.)可能性severity(n.)嚴重性
Through real-time data analysis from various sources, AI can detect potential risks and automatically alert authorities and the public of possible approaching dangers.
透過對各種來源的數據進行即時分析，人工智慧可以偵測到潛在風險，並自動提醒當局和大眾有危險正在逼近。
detect(v.)檢測、偵測、探測automatically(adv.)自動地alert sb. of sth.警告某人某事the public大眾approach(v.)逼近;靠近;親近approachable(adj.)和藹可親的