压轴题12 阅读理解CD篇+语法填空+读后续写（原卷版）-2023年高考英语压轴题专项训练（新高考专用）

压轴题12 阅读理解CD篇+语法填空+读后续写 （时间：60分钟 满分：60分） 第一节 （共8小题；每小题2.5分，满分20分） A （2023·山东泰安·统考一模）How can people speak their mind without saying anything? This is a question that scientists have aimed to answer for a long time.Researchers recently brought an upgraded device that can translate users’ brain waves into daily speech. Previously,the team led by Edward Chang at the University of California, San Francisco, developed an Al-based system that can identify up to 50 commonly used words based on the participant’s brain waves. The participant was a paralyzed (瘫痪的) man who had been implanted with 16 electrodes (电极) under his skull. According to their paper published in November, the team upgraded the system which can now translate thoughts into complete sentences on a computer screen. Their tests showed that the device could decode silently spoken letters from a 1,152-word vocabulary at a speed of about 29 characters per minute. The accuracy was up to 94 percent. “It shows strong promise for restoring communication by tapping into the brain’s natural speech machinery,”Chang said to the university’s news website. However, this method can still be problematic since users still need to undergo surgery. Scientists at the University of Texas, US, have tried to translate people’s thoughts without even touching their heads, reported Live Science. The new technique is called fMRI, or functional magnetic resonance imaging (功能性磁共振成像). It’s a safer way of “reading”brain activity. Active brain cells have more oxygen. By tracking these cells, scientists can translate brain activity. The team asked participants to listen to 16 hours of radio shows while scanning their brains. Then they used a computer algorithm (算法) to create a story based on the fMRI recording. It matched the radio shows pretty well. Also, the algorithm could basically explain the story of a silent movie that the participants watched. The team aims to develop this technology so that it can be used in brain-computer interf