时事热点语法填空AI相关话题专题练-2026届高三英语一轮复习

时事热点语法填空 AI相关话题专题练

Under the “AI” concept, a new business model in the education industry — “AI self-study rooms” —     1     (emerge) in China recently and is attracting increasing attention and sparking mixed reactions.

Compared to traditional self-study rooms, AI self-study rooms offer a tablet computer for each desk,     2     handles the teaching and exercises for each student. AI self-study rooms integrate AI learning devices, study supervisors, and a conducive environment. Students use AI-powered devices to practice, supervisors ensure discipline, and the quiet environment     3     (foster) focus.

In AI self-study rooms, students use devices for online courses and exercises, while supervisors leverage AI to identify knowledge gaps and create     4     (personalize) study plans. The rooms also provide real-time learning reports     5     parents to track progress. So far, this new model has sparked mixed opinions. Some see them as gimmicks (噱头), as they feel the learning devices in the study rooms are not truly AI.     6     highlight their benefits in enhancing learning     7     (efficient), quality, and resource equality.

According to China News Weekly, experts affirm AI’s positive role in education but note that AI self-study rooms, as     8     emerging industry, face challenges like low integration and inconsistent quality, which has fueled debate. The rise of the AI-assisted learning model brings about many benefits,     9     (enable) remote students to access quality education. Despite debates, ongoing technological advances and broader applications will make AI-assisted learning     10     (increasing) vital to future education.

 

In the fictional worlds of film and TV, artificial intelligence (AI) has been described as so advanced that it is indistinguishable from humans. But what if we’re actually getting closer to a world where Al is capable of thinking and feeling?

Tech company UneeQ is heading for its “digital humans”,     11     appear life like on the screen not only in terms of language, but also because of facial movements: raised eyebrows, a smile, even a nod. They look close to a human, but not quite.

What lies beneath UneeQ9 s digital humans? Their 3D faces     12     (model) on actual human features. Speech recognition enables them to understand what a person is saying, and natural language processing is used     13     (work)out a response. Meanwhile, another Al company, Soul Machines, is taking a more biological approach, with a “digital brain”, imitates aspects of the human brain to adjust the emotions “felt” and “expressed” by its “digital people”.

Shiwali Mohan,     14     Al scientist at the Palo Research Center, is skeptical of these digital beings. “They’re humanlike in their looks and the way they sound,     15     that in itself is not being human,” she says.

“Human qualities also involve how you think, how you approach problems, and how you break them down; and that takes a lot of algorithmic (算法) design.    16     (design) for human-level intelligence is a different attempt than designing images that behave like humans.” She then continues, “If something looks like a human, we have high expectations     17     them, but they might behave differently in ways that humans just instinctively (直觉地) know     18     other humans react.

Yet the demand is there, with UneeQ seeing high adoption of its digital employees across the financial, health care, and commercial sectors (行业). “Unless these sectors make their business models much     19     (efficient)digitally, they might be left behind,” says Chetan Dube, UneeQ9s CEO.

Some other companies are taking their digital beings a step further, enabling organizations and individuals to create digital humans themselves using free-access platforms they provide. “The biggest motivation for such platforms is      20      (popularize) Al,” Dube says.

Mohan is cautious about this approach, yet she supports the purpose behind these digital beings and is optimistic about where they are headed. “As we develop more advanced Al technology, we would then have to use new ways of communicating with that technology,she says. ”‘Hopefully, all of that is designed to support humans in their goals."

 

 

Two early developers of artificial intelligence (AI) have won this year’s Nobel Prize in Physics. American John Hopfield works at Princeton University and Geoffrey Hinton,     21     is from Canada and Britain, works at the University of Toronto. The Royal Swedish Academy of Sciences (RSAS) honored     22     (they) for helping to create methods that are the basis of today’s strong machine learning.

The 76-year-old Hinton is known as the Godfather of AI because he helped develop machine learning. However, he also warned that AI might be dangerous to humans.

“The two scientists used basic ideas from statistics and physics     23     (design) artificial neural networks that work like memories and find     24     (pattern) in large data sets,” says Moons, a member of the Nobel committee. Moons adds that their research     25     (use) to improve physics and has also become part of people’s     26     (day) lives. Technologies like facial     27     (recognize) and language translation are used every day.

Hinton says that AI will have a big effect     28     our world and make productivity and health care better. He told reporters     29     RSAS officials that it would be like the Industrial Revolution. The Industrial Revolution was a time of fast development of machines and manufacturing that       30       (start) more than 250 years ago in Britain.

Chinese tech companies are making every effort to enter the fast-growing artificial intelligence-generated content sector and promote AI-powered chatbots or products similar to ChatGPT, which    31    (take) off since its launch in November 2022.

ChatGPT,    32    (belong) to US-based AI research company OpenAI, is able to mimic (模仿)human-like responses to prompts (提示词) with AI-generated content, and assist people with tasks such as    33    (write) essays, drafting business proposals and even creating poetry.

Nowadays, Al-generated content and ChatGPT-related technologies    34    (consider) to be a new engine driving innovation(创新) in content production and can free human creators    35    boring tasks, enabling them    36    (focus) on creative thinking, with immense application potential in wide-ranging    37    (field) like culture, media, entertainment and education.

China has made    38    (significance) progress in developing the AI industry. A Stanford University report shows that China filed more than half the world's AI patent applications in 2021,    39    continues to lead the world in the number of AI journals, conference papers and related publications.

Baidu, Alibaba and Tencent have invested heavily in promoting the     40     (commerce) use of AI, and some Chinese AI companies have grown rapidly in recent years. There is no doubt that China's AI industry will have an infinitely bright future.

 

As we all know, the call center operators face stress from customers’ anger every day. Therefore, some companies even introduce stress management programs to help reduce their employees’     41     (anxious). However, one Japanese company may have come up     42     a much more efficient solution. They’re using AI to completely remove screaming and aggressive speech. The company claims to have spent three years     43     (create) a voice filter (过滤器) that detects screaming and     44     (automatic) translates it into calm speech.

The company’s voice filter consists of two stages, one in which the AI identifies an angry voice, and a second     45     it uses tools to transform it into a more natural, even polite tone. Interestingly, the filter doesn’t change any of the words     46     (speak) by the person, but significantly softens the intonation (语调).     47     (train) the AI, the company’s engineers asked 10 actors to record at least 100 common phrases including screams, threats, and demands for an apology. In total, more than 10, 000 pieces of voice data     48     (use) to train the AI filter.

Although it’s     49     (clear) when the company plans to use the new scream-filtering AI in their call centers,     50     will be interesting to see how well it works and how it impacts the emotional well-being of operators.