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Artificial intelligence (Al)is showing promise in earthquake prediction,challenging the long-heldbelief that it is impossible.Researchers at the University of Texas,Austin,have developed an AI algorithm(that correctly predicted 70%of earthquakes a week in advance during a trial in China and providedaccurate calculations for the predicted earthquakes.The research team believes their method succeeded because they stuck with a relatively simplemachine learning approach.The AI was provided with a set of statistical (features based on theteam's knowledge of earthquake physics,and then instructed to train itself using a five-year database ofearthquake recordings.Once trained,the AI provided its prediction of earthquake by listening for signs ofincoming earthquakes within the background rumblings()in the Earth.This work is clearly a milestone in research for AI-driven earthquake prediction."You don't seeearthquakes coming,"explains Alexandros Savvaidis,a senior research scientist who leads the TexasSeismological Network Program (TexNet)."It's a matter of milliseconds ()and the only thing youcan control is how prepared you are.Even with the 70%accuracy,that's a huge result and could helpminimize economic and human losses and has the potential to remarkably improve earthquake preparationworldwide."While it is unknown whether the same approach will work at other places,the researchers areconfident that their AI algorithm could produce more accurate predictions if used in areas with reliableearthquake tracking networks.So,their next step is to test artificial intelligence in different places in Texas,since UT's Bureau TexNet has 300 earthquake stations there and over six years'worth of continuousrecords,making it ideal for these purposes.Eventually,the authors hope to combine the system with physics-based models.This strategy couldprove especially important where data is poor or lacking."That may be a long way off,but many advancessuch as this one,taken together,are what moves science forward,"concludes Scott Tinker,the bureau'sdirector.28.How does the AI predict earthquakes?A.By analyzing background sounds in the Earth.B.By identifying data from remote sensing satellite.C.By modeling data based on earthquake recordings.D.By monitoring changes in the Earth's magnetic field.29.What does Alexandros Savvaidis intend to show in paragraph 3?A.The ways to reduce losses in earthquakes.B.The accuracy of AI in earthquake prediction.C.The limitation of Al algorithms in earthquake predictionD.The significance of developing AI-driven earthquake prediction.30.What does the follow-up research focus on?A.Conducting tests in different locations.B.Building more earthquake stations in Texas.C.Improving the quality of earthquake tracking networks.D.Applying Al approach to other fields besides earthquake.31.Which words can best describe the earthquake-predicting technology?A.Precise but outdated.B.Effective but costlyC.Advanced and promising.D.Potential and economicalDThree young American men were on a crowded train when they came across a dangerous robberIgnoring their personal safety,they rushed the robber and controlled him.Only some people seem capable4