《2025年一本英语五合一必刷题高中人教版》

Using only a sensor - filled cap combined with artificial intelligence ( AI ), a team of scientists has announced they can turn a person’s thoughts into written words.
In the study, participants read passages of text while wearing a cap that recorded electrical brain activity through their scalp(头皮). These electroencephalogram (EEG, 脑电图) recordings were then changed into text using an AI model called DeWave. Chin - Teng Lin at the University of Technology Sydney (UTS), Australia, says the technology is relatively inexpensive and easily transportable. While the system is far from perfect, Lin says more recent data currently shows an improved accuracy.
The DeWave model was trained by looking at lots of examples where brain signals match up with specific sentences, says team member Charles Zhou at UTS. “For instance, when you think about saying ‘hello’, your brain sends out certain signals,” says Zhou. “DeWave learns how these signals relate to the word ‘hello’ by seeing many examples of these signals for different words or sentences.”
When DeWave understood the brain signals well, the team connected it to an open - source large language model (LLM), similar to the AI that powers ChatGPT. “This LLM is like a brainy writer that can make sentences. We tell this writer to pay attention to the signals from DeWave and use them as a guide to create sentences,” says Zhou.
Finally, the team trained both DeWave and the language model together to get even better at writing sentences based on the EEG data.
With further improvement, the researchers hope that the system could revolutionize communication for people who have lost speech, such as those affected by a stroke(中风), and could also have applications in robotics.
Craig Jin at the University of Sydney says he is impressed with the work by Lin’s team. “It’s great progress,” he says. “People have been wanting to turn EEG into text for a long time and the team’s model is showing a remarkable amount of correctness. Several years ago, the changes from EEG to text were complete nonsense.”
12. What does Charles Zhou want to show by the example of “hello”?
A. The advantage of DeWave.
B. The reason DeWave was used.
C. The improvement of DeWave.
D. The way DeWave was trained.
13. What do the underlined words “this writer” in paragraph 4 refer to?
A. A DeWave model.
B. An electroencephalogram.
C. A person whose job is writing books.
D. An open - source large language model.
14. Which of the following will probably benefit from the system of Lin’s team?
A. A person who has a risk of a stroke.
B. A person who is interested in robotics.
C. A person who has difficulty speaking.
D. A person who lacks public - speaking skills.
15. What is Craig Jin’s attitude to the creation of the system of Lin’s team?
A. Cautious.
B. Favorable.
C. Ambiguous.
D. Disapproving.

答案： DDCB