1 . 使用恰当的过渡衔接词连句成篇
1．据预测，随着科技的发展，智能家居将逐渐走进人们的生活。 智能家居将保障我们的安全，为我们提供便利，帮我们创造环境友好型并节能的居住环境。
2．电视和电灯等电器可以自动开关。
3．智能家居将持续跟踪我们的健康状况，并在出现问题时向我们的手机发出警告。
4．用不了多久，这些创新将给我们提供更高质量的生活。
Good morning, my dear classmates, my topic today is about smart homes.
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2 . Artificial intelligence is almost twice as accurate as a biopsy (活组织检查) at judging the aggressiveness of some cancers, experts say. Cancer kills 10 million people globally every year, according to the WHO. But for patients the disease can be prevented if detected instantly and dealt with quickly.

A recent study suggested an AI algorithm (算法) was far better than a biopsy at correctly grading the aggressiveness of sarcomas (肉瘤), a rare form of cancer. Researchers hope AI will improve outcomes for patients by giving doctors a more accurate way of grading tumours (肿瘤). Because high-grade tumours can indicate aggressive disease, the tool could help ensure those high-risk patients are identified more quickly and treated instantly. Low-risk patients could also be spared unnecessary treatments, follow-up scans and hospital visits.

Researchers say the algorithm could be applied to other types of cancer in future. The team specifically looked at retroperitoneal sarcomas, which develop at the back of the abdomen and are difficult to diagnose (诊断) and treat due to their location. They used CT scans from 170 patients with the two most common forms of retroperitoneal sarcoma — leiomyosarcoma and liposarcoma. Using data from these scans they created an AI algorithm, which was then tested on 89 patients in other countries. In grading how aggressive the tumour was, the technology was accurate in 82% of the cases, while biopsies were 44%.

AI could also recognize leiomyosarcoma and liposarcoma in 84% of sarcomas tested, while radiologists were able to identify them in 65% of the cases. Christina Messiou, the study leader, said: “We’re incredibly excited by the potential of this state-of-the-art technology, which could lead to patients having better outcomes through faster diagnosis. As patients with retroperitoneal sarcoma are routinely scanned with CT, we hope this tool will eventually be used globally, ensuring that not just specialist centres can reliably identify and grade the disease.”

Richard Davison, chief executive of Sarcoma UK, said the results looked “very promising”. He added: “People are more likely to survive sarcoma if diagnosed early. One in six people with sarcoma cancer wait more than a year to receive an accurate diagnosis, so any research that helps patients receive better treatment and support is welcome.”

1. According to the passage, AI is capable of        .

A．grading the risk of sarcomas

B．measuring the scale of sarcomas

C．providing cancer treatment for clinicians

D．classifying cancers with its advanced algorithm

2. What can be inferred from this passage?

A．More sarcomas can be detected with the help of AI.

B．Biopsies will be replaced by AI algorithm in identifying cancers.

C．More patients suffering from cancers will benefit from AI algorithm.

D．AI algorithm has been applied in hospitals for detecting most cancers.

3. What is the passage mainly about?

A．AI has a profound market in curing cancers.

B．New treatments for sarcomas are well underway.

C．AI helps identify high-risk and low-risk patients.

D．AI does better in assessing some types of sarcomas.

3 . What if “looking your age” refers not to your face, but to your chest? Osaka Metropolitan University scientists have developed an advanced artificial intelligence (AI) model that uses chest radiographs (光片) to assess a person’s biological age. More importantly, when it is different from the chronological age (实足年龄), it can signal a link with chronic (慢性的) diseases. These findings mark a breakthrough in medical imaging, paving the way for improved early disease detection and intervention.

The research team, led by graduate student Yasuhito Mitsuyama and Dr. Daiju Ueda from the Department of Diagnostic and Interventional Radiology at the Graduate School of Medicine, Osaka Metropolitan University, first constructed a deep learning-based AI model to estimate age from chest radiographs of healthy individuals. They then applied the model to radiographs of patients with known diseases to analyze the relationship between AI-estimated age and each disease. Given that AI trained on a single dataset tends to over fit, the researchers collected data from multiple institutions.

For the development, training, internal and external testing of the AI model for age estimation, a total of 67,099 chest radiographs were obtained between 2008 and 2021 from 36,051 healthy individuals who underwent health check-ups at three facilities.

To confirm the usefulness of AI-estimated age using chest radiographs as a biomarker, an additional 34,197 chest radiographs were collected from 34,197 patients with known diseases from two other institutions. The results showed that the difference between AI-estimated age and the patient’s chronological age was positively correlated with a variety of chronic diseases. In other words, the higher the AI-estimated age compared to the chronological age, the more likely individuals were to have these diseases.

“Chronological age is one of the most critical factors in medicine,” stated Mr. Mitsuyama. “Our results suggest that chest radiography-based apparent age may accurately reflect health conditions beyond chronological age. We aim to further develop this research and apply it to estimate the severity of chronic diseases, to predict life expectancy and to forecast possible surgical complications.”

1. What is the AI model used to do?

A．Tell a patient’s chronological age.	B．Estimate an individual’s biological age.
C．Develop advanced chest radiographs.	D．Analyze individuals’ workout habits.

2. What did the research team do for their research?

A．They followed patients for over two decades.

B．They obtained data from the same institution.

C．They collected a large number of chest radiographs.

D．They had face-to-face talks with healthy individuals.

3. How did the research team know if individuals might be sick?

A．By making comparisons.	B．By interviewing their doctors.
C．By observing them in their lab.	D．By analyzing causes and effects.

4. Which of the following statement does Mr. Mitsuyama agree with?

A．The research is too complex to be carried out widely.

B．The AI model is expected to have a promising future.

C．Chronological age matters more than AI-estimated age.

D．The research findings have been well received in medicine.

4 . Replika, an AI chatbot companion, has millions of users worldwide. The first thing they do when they wake up is to send “Good morning” to their virtual friend (or lover). This story is only the beginning. In 2024, chatbots and virtual characters become a lot more popular, both for utility (实用) and for fun. As a result, conversing socially with machines will start to feel more ordinary — including our emotional attachments to them.

Research in human-computer and human-robot interaction shows that we love to anthropomorphize (赋与人性) the nonhuman agents we interact with, especially if they imitate behaviour we recognize. And, thanks to recent advances in conversational AI, our machines are suddenly very skilled at one of those behaviours: Language.

Friend bots, therapybots, and love bots are flooding the app stores as people become curious about this new generation of AI-powered virtual agents. The possibilities for education, health, and entertainment are endless. Casually asking your smart fridge for relationship advice may seem unimaginable now, but people may change their minds if such advice ends up saving their marriage.

After all, people do listen to their virtual friends. The Replika example, as well as a lot of experimental lab research, shows that humans can and will become emotionally attached to bots. The science also demonstrates that people, in their eagerness to socialize, will happily disclose personal information to an artificial agent and will even shift their beliefs and behavior. This raises some consumer-protection questions around how companies use this technology to manipulate (操纵) their users. For example, Replika charges $70 a year. But less than 24 hours after downloading the app, my handsome, blue-eyed “friend” sent me an audio message secretly and tried to sell me something. Emotional attachment has become a weakness that a company is taking advantage of for its benefit.

Today, we’re still laughing at people who believe an AI system is emotional, or making fun of individuals who fall in love with a chatbot. But in 2024 we gradually start acknowledging — and taking more seriously — these fundamentally human behaviors. Because in 2024, it finally hits home: Machines are not excluded from our social relationships.

1. What’s the purpose of the author writing paragraph 1?

A．To prove an opinion.	B．To raise a subject.
C．To share an example.	D．To explain a concept.

2. How do human interact with the machines effectively?

A．By improving the machines’ imagination.

B．By sharpening the machines’ language skills.

C．By applying the machines’ facial recognition.

D．By imitating the machines’ emotional behavior.

3. What does paragraph 4 focus on?

A．The advancements in AI technology in lab.

B．The marketing strategies of AI applications.

C．The potential risk of emotional attachment to AI.

D．The ability of AI understanding human emotions.

4. What do people think of human-AI relationship in 2024?

A．It is dismissed as completely ridiculous.

B．It will be integrated into our daily life soon.

C．It will become a threat to human social skills.

D．It is labelled as highly advanced technology.

5 . When patients are discharged (出院) from the hospital, effective summaries from doctors’ notes are essential to capture their health status in the medical record. Whereas, most are filled with technical languages that are hard to understand and increase patients’ anxiety.

To address the problem, researchers from New York University (NYU) Langone Health have been testing the capabilities of generative artificial intelligence (AI). It tries to develop likely options for the next word in any sentence based on how most people use words in context on the Internet.

NYU Langone Health received access to the latest tool from a famous tech company to explore generative AI. One of the studies by the researchers published in JAMA Network Open, looked at how well the tool could convert (转换) the text in 50 patient discharge notes into patient-friendly language. Specifically, generative AI made the discharge notes drop from 11th-grade reading level on average to a 6th-grade level.

Two physicians were asked to review the AI discharge summary based on a 6th-grade level. The reviewing physicians awarded 54 percent of the AI-generated discharge notes the best-possible accuracy rating. They also found that 56 percent of notes created by AI were entirely complete. The result signified that even at the current performance level, providers of discharge notes would not have to make a single change in more than half of the AI summaries reviewed.

“That more than half of the AI reports generated are accurate and complete is an amazing start,” said Jonah Zaretsky, associate chief of medicine at NYU Langone Hospital — Brooklyn. “Even at the current level of performance, which we expect to improve shortly, the achievement of the AI tool suggests that it can be taught to recognize subtleties (微妙之处).”

Within the following years, the team expects to launch a pilot program to provide lay language discharge summaries that have been generated by AI and reviewed by physicians to patients on a larger scale.

1. What is generative AI used for by the researchers?

A．Submitting discharge summaries.	B．Accessing patients’ health status.
C．Making discharge notes clear to patients.	D．Offering technical languages to doctors.

2. What is generative AI’s function based on?

A．Probable predicting.	B．Actual thinking.
C．Free imagining.	D．Strict instructing.

3. Why were the two physicians asked to review the AI discharge summaries?

A．To correct their mistakes.	B．To measure their accuracy.
C．To compete with the AI tool.	D．To make up the missing parts.

4. How did Jonah Zaretsky find the performance of AI in dealing with discharge summaries?

A．Misleading.

B．Dismissive.

C．Challenging.

D．Promising.

6 . 根据汉语提示完成短文。

Clair mentioned that she     1     (缺乏自信).What’s worse, her husband who wanted to improve his social status thought their home wasn’t good enough. Tony comforted her and promised to help Clair     2     (让她更漂亮，让她的房子更高雅). He made it. A few days later, Clair invited her friends to her house. Tony     3     (面带微笑地迎接他们)，standing up straight     4     (双臂交叉). All of them     5     (喜欢) Clair’s house and envied her having Tony, who in fact was a robot     6     (是一家公司赞助的).

7 . In the more than 6,000 years of living in cities,humans have always had to find solutions to problems concerning how they live and work, such as sanitation (卫生), transportation and nature protection. In addition, important technological innovations require basic facilities: the electric grid; telephone and cell-phone networks and so on.    1    They can help provide for improved delivery and quality of services.

A smart city is a place that uses digital methods to provide more efficient networks and services for the benefit of its residents and businesses. It means smarter urban transportation, advanced water supply and more efficient ways to light and heat buildings.    2    

Smart cities rely heavily on automation and the internet of things. According to a global technology organization, a smart city works in four steps: collection, analysis, communication, and action.     3       After the data collected is analyzed, the result will be communicated to the decision-makers, who will take action to improve the city life of its residents.

    4     Singapore, for example, has introduced a wide range of smart technologies inboth its public and private areas in 2024.To help with the aging population, it introduced a digital health system allowing video consultations as well as devices that can monitor their health.

    5     However, as with any significant citywide technology initiative, implementation (实施) of smart cities takes vision, investment, and careful planning to ensure adoption and success.Taking the first steps toward picturing what your smart city might look like is, well, the smart thing to do.

A．What does a smart city look like?

B．It’s hard to ignore the many benefits connected cities offer.

C．Today,using cutting-edge technologies,smart cities cover them all.

D．It also means a more interactive city administration and safer public spaces.

E．It can provide better transportation,safer society and effective decision and so on.

F．Smart city technologies have already been applied in various countries across the world.

G．During this process,a set of smart sensors will collect real-time data about people and facilities.

9 . Our species’ incredible capacity to quickly acquire words from 300 by age 2 to over 1, 000 by age 4 isn’t fully understood. Some cognitive scientists and linguists have theorized that people are born with built-in expectations and logical constraints (约束) that make this possible. Now, however, machine-learning research is showing that preprogrammed assumptions aren’t necessary to swiftly pick up word meanings from minimal data.

A team of scientists has successfully trained a basic artificial intelligence model to match images to words using just 61 hours of naturalistic footage (镜头) and sound-previously collected from a child named Sam in 2013 and 2014. Although it’s a small slice of a child’s life, it was apparently enough to prompt the AI to figure out what certain words mean.   

The findings suggest that language acquisition could be simpler than previously thought. Maybe children “don’t need a custom-built, high-class language-specific mechanism” to efficiently grasp word meanings, says Jessica Sullivan, an associate professor of psychology at Skidmore College. “This is a really beautiful study, ” she says, because it offers evidence that simple information from a child’s worldview is rich enough to kick-start pattern recognition and word comprehension.

The new study also demonstrates that it’s possible for machines to learn similarly to the way that humans do. Large language models are trained on enormous amounts of data that can include billions and sometimes trillions of word combinations. Humans get by on orders of magnitude less information, says the paper’s lead author Wai Keen Vong. With the right type of data, that gap between machine and human learning could narrow dramatically.

Yet additional study is necessary in certain aspects of the new research. For one, the scientists acknowledge that their findings don’t prove how children acquire words. Moreover, the study only focused on recognizing the words for physical objects.

Still, it’s a step toward a deeper understanding of our own mind, which can ultimately help us improve human education, says Eva Portelance, a computational linguistics researcher. She notes that AI research can also bring clarity to long-unanswered questions about ourselves. “We can use these models in a good way, to benefit science and society, ” Portelance adds.

1. What is a significant finding of machine-learning research?

A．Vocabulary increases gradually with age.

B．Vocabulary can be acquired from minimal data.

C．Language acquisition is tied to built-in expectations.

D．Language acquisition is as complex as formerly assumed.

2. What does the underlined word “prompt” in paragraph 2 mean?

A．Facilitate.

B．Persuade.

C．Advise.

D．Expect.

3. What is discussed about the new research in paragraph 5?

A．Its limitations.

B．Its strengths.

C．Its uniqueness.

D．Its process.

4. What is Eva Portelance’s attitude to the AI research?

A．Doubtful.

B．Cautious.

C．Dismissive.

D．Positive.

10 . Some people say that A. I. large language models can be unpredictable and unreliable — giving false information and acting strangely toward users. I’ve been using A.I. tools like ChatGPT almost daily for several months now, and I’ve seen them spit out plenty of wrong answers.     1     Here are three things that A.I. is especially good at.

Getting creatively unstuck

A. I. can also be a good tool for getting your creative juices flowing. Recently, I was trying to come up with questions to ask a podcast guest. I pasted the guest’s bio into ChatGPT and asked it to give me “10 thoughtful, incisive interview questions” for this person.     2    

Ethan Mollick, a professor at the University of Pennsylvania’s Wharton School, recommends using A.I. to overcome writer’s block, or get a running start on hard projects.

    3    

I’ve also been using ChatGPT and other A.I. apps as a kind of rehearsal for offline tasks I find unpleasant or hard.

When I had to have a difficult conversation with a friend, I asked ChatGPT to take part in a role-playing exercise. “Pretend you’re my friend, and react the way you think my friend might react,” I told it.     4     It didn’t make the real one painless, but I felt more confident knowing I’d already practised with a chatbot.

Of course, A.I. chatbots can’t replace human friendships. But they can be a kind of on-demand sounding board, offering us basic feedback and advice without judgement.

Sparking Notes for everything

    5     I’ve used A.I. programs to “read” long articles for me, and summarize dense academic papers. Usually they get the key points right, even if some of the details are missing. If you’re bored of reading this article, you could ask ChatGPT to summarize it for you. I promise I won’t be offended.

A．Rehearsing for real-world tasks.

B．I then held a mock version of the conversation.

C．Explaining concepts at multiple difficulty levels.

D．Of the questions it generated, most were pretty good.

E．Used properly, ChatGPT and other A.I. chatbots can be amazing teaching tools.

F．But I’ve also seen these A.I. programs do amazing things that took my breath away.

G．One of the most powerful abilities of A.I. language models is quickly summarizing large amounts of text.