2025届高三英语一轮复习：China Daily 人工智能在新的一年重塑全球未来语法填空专项练习（含答案）
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| 名称 | 2025届高三英语一轮复习：China Daily 人工智能在新的一年重塑全球未来语法填空专项练习（含答案） |  | |
| 格式 | docx | ||
| 文件大小 | 23.0KB | ||
| 资源类型 | 教案 | ||
| 版本资源 | 人教版（2019） | ||
| 科目 | 英语 | ||
| 更新时间 | 2025-01-07 14:32:20 | ||
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话题：人工智能在新的一年重塑全球未来
Passage 1
With the unprecedented advancement of technology, artificial intelligence 1_______(be) rapidly transforming societies and elevating global collaboration to new heights. AI has already made groundbreaking strides in the core areas of data, computing power and algorithms, 2_______(usher) in a new era in 3_____ innovation is fueling large - scale applications. Given these developments, there is 4_____ need for the world to engage in dialogue and cooperation, in order to chart new pathways for the development of AI and build 5_____ brighter future.
Data serve as the cornerstone of AI development. Global data generation continues to soar, providing an unprecedented wealth of resources for training and 6_______(optimize) of AI models. Open - source data platforms have fueled the development of general - purpose models, while global internet users and industrial data offer highly customized training resources for industry - specific models, and high - quality data inputs facilitate the development of AI models. However, data monopolization and 7_______(scarce) have become critical bottlenecks, especially in vertical industries, which need to 8_______(address).
Algorithms are the driving force of AI systems. And AI's advancement in algorithms follows two primary 9_______(direction): general - purpose large models and industry - specific large models. General - purpose large models, such as OpenAI's ChatGPT and DeepMind's Gemini, excel in multimodal and multilingual processing, accelerating the adoption of generative AI. 10_______(similarly), industry - specific large models such as AlphaFold have revolutionized biology by predicting protein structures.
is
ushering
which
a
a
optimization
scarcity
be addressed
directions
Similarly
Passage 2
Computing power serves 1_____ the energy source for AI's development. The demand for large - model computational capacity 2_______(surge), while technologies such as NVIDIA's GPUs and Google's TPUs have provided robust computational support for AI models.
More importantly, Google recently unveiled its Willow quantum chip, 3 _____performed a task, which would take a conventional supercomputer 10 septillion years, in five minutes — which is a giant leap forward in quantum technology.
On 4_____ other hand, China's "Eastern Data and Western Computing" initiative has helped expedite the construction of an integrated nationwide computing network, enabling efficient resource coordination. In this process, Fields Medal winner Terence Tao's contributions to harmonic analysis and partial differential equations have helped make AI computational models 5_______(precise) and efficient. And Turing Award winners Allen Newell and Herbert Simon's research on the complexity and computational frameworks of algorithm 6_______(lay) the groundwork for large - scale distributed computing.
Moreover, Nobel Prize winner for Physics Alain Aspect's experimental breakthroughs in quantum entanglement have further expanded the potential applications of quantum computing in enhancing AI's computational power. These breakthroughs, combined with traditional and quantum technologies, are paving the way for more efficient training and practical 7_______(apply) of AI models.
While it is crucial to achieve balanced and coordinated development, it is necessary 8_______(increase) investments in data, algorithms and computing power, so as to synergize AI's core driving forces. The development of algorithms depends on high - quality data, but the scarcity of data and platforms 9_______(limit) potential breakthroughs.
The widespread adoption of AI requires the participation of society as a whole. And more investments in education and skill training are needed to ensure ordinary people acquire AI - related 10_______(skill).
as
has surged
which
the
more precise
have laid
applications
to increase
has limited
skills
Passage 3
Since the development of AI requires collaboration among countries, the global leaders should build a global AI innovation network to advance AI technology. In this regard, China and the US, as the two leading major powers in global AI research and development, should seek common ground while respecting 1_______(they) differences, and boost technology sharing and standard - setting. For example, the two countries could sign data - sharing agreements for AI model training and strengthen collaboration in AI applications in fields such 2_____ medicine and climate change.
Strengthening antitrust regulations is also necessary to prevent monopolization by a few companies, and ensure that AI technologies are accessible and beneficial to everyone.
AI represents a technological leap for humanity, but 3_____ progress should benefit all of humanity, not just a privileged few. So major AI powers must rise above their competition in high - tech and pursue win - win outcomes. By abandoning zero - sum games and embracing cooperation to achieve mutual benefit, countries around the world can embark on a global "AI labor race", turning AI into a powerful force for building a community with a shared future for mankind.
While it is necessary to establish a platform for international dialogue and ethical standards, it is equally essential to develop a shared ethical framework to drive the development of AI, and ensure organizations such as the United Nations play 4_____ leading role in formulating and implementing rules for the use of AI especially in the fields of privacy protection, and algorithmic fairness and safety.
The rapid progress of AI is based on a solid foundation. Data, computing power and algorithms, often referred to as the "three driving forces" of AI's development, are interdependent and mutually 5_______(reinforce). These are continuously pushing the boundaries of innovation, transitioning AI from an abstract concept to tangible applications. Underpinning this development 6_______(be) the foundational contributions of numerous scientists.
Global data generation continues to soar, providing an unprecedented wealth of resources for training and the optimization of AI models. Open - source data platforms have fueled the development of general - purpose models, while global internet users and industrial data offer highly customized training resources for industry - specific models, and high - quality data inputs facilitate the development of AI models.
However, data monopolization and scarcity have become critical bottlenecks, especially in vertical industries, 7_____ need to be addressed.
Algorithms are the driving force of AI systems. And AI's advancement 8._____ algorithms follows two primary directions: general - purpose large models and industry - specific large models. General - purpose large models, such as OpenAI's ChatGPT and DeepMind's Gemini, excel in multimodal and multilingual processing, accelerating the adoption of generative AI. Industry - specific large models such as AlphaFold have revolutionized biology by predicting protein structures.
Foundational contributions, such as Fields Medal winner Stephen Smale's work on saddle points in optimization theory, and Nobel Prize winner for Physics and the Turing Award winner Geoffrey Hinton's deep learning frameworks, have provided crucial mathematical and algorithmic underpinnings for AI models.
Nobel Prize winners for Chemistry Demis Hassabis and John Jumper have demonstrated the immense potential of domain - specific large models in 9.___(address) critical social issues. These pivotal efforts are driving the homomorphic and isomorphic development of problem spectrums, model groups and algorithm clusters within the technological paradigm, laying the foundation for the continuous 10.____(innovate) of AI.
their
as
its
a
reinforcing
are
Which
in
addressing
innovation
Passage 1
With the unprecedented advancement of technology, artificial intelligence 1_______(be) rapidly transforming societies and elevating global collaboration to new heights. AI has already made groundbreaking strides in the core areas of data, computing power and algorithms, 2_______(usher) in a new era in 3_____ innovation is fueling large - scale applications. Given these developments, there is 4_____ need for the world to engage in dialogue and cooperation, in order to chart new pathways for the development of AI and build 5_____ brighter future.
Data serve as the cornerstone of AI development. Global data generation continues to soar, providing an unprecedented wealth of resources for training and 6_______(optimize) of AI models. Open - source data platforms have fueled the development of general - purpose models, while global internet users and industrial data offer highly customized training resources for industry - specific models, and high - quality data inputs facilitate the development of AI models. However, data monopolization and 7_______(scarce) have become critical bottlenecks, especially in vertical industries, which need to 8_______(address).
Algorithms are the driving force of AI systems. And AI's advancement in algorithms follows two primary 9_______(direction): general - purpose large models and industry - specific large models. General - purpose large models, such as OpenAI's ChatGPT and DeepMind's Gemini, excel in multimodal and multilingual processing, accelerating the adoption of generative AI. 10_______(similarly), industry - specific large models such as AlphaFold have revolutionized biology by predicting protein structures.
is
ushering
which
a
a
optimization
scarcity
be addressed
directions
Similarly
Passage 2
Computing power serves 1_____ the energy source for AI's development. The demand for large - model computational capacity 2_______(surge), while technologies such as NVIDIA's GPUs and Google's TPUs have provided robust computational support for AI models.
More importantly, Google recently unveiled its Willow quantum chip, 3 _____performed a task, which would take a conventional supercomputer 10 septillion years, in five minutes — which is a giant leap forward in quantum technology.
On 4_____ other hand, China's "Eastern Data and Western Computing" initiative has helped expedite the construction of an integrated nationwide computing network, enabling efficient resource coordination. In this process, Fields Medal winner Terence Tao's contributions to harmonic analysis and partial differential equations have helped make AI computational models 5_______(precise) and efficient. And Turing Award winners Allen Newell and Herbert Simon's research on the complexity and computational frameworks of algorithm 6_______(lay) the groundwork for large - scale distributed computing.
Moreover, Nobel Prize winner for Physics Alain Aspect's experimental breakthroughs in quantum entanglement have further expanded the potential applications of quantum computing in enhancing AI's computational power. These breakthroughs, combined with traditional and quantum technologies, are paving the way for more efficient training and practical 7_______(apply) of AI models.
While it is crucial to achieve balanced and coordinated development, it is necessary 8_______(increase) investments in data, algorithms and computing power, so as to synergize AI's core driving forces. The development of algorithms depends on high - quality data, but the scarcity of data and platforms 9_______(limit) potential breakthroughs.
The widespread adoption of AI requires the participation of society as a whole. And more investments in education and skill training are needed to ensure ordinary people acquire AI - related 10_______(skill).
as
has surged
which
the
more precise
have laid
applications
to increase
has limited
skills
Passage 3
Since the development of AI requires collaboration among countries, the global leaders should build a global AI innovation network to advance AI technology. In this regard, China and the US, as the two leading major powers in global AI research and development, should seek common ground while respecting 1_______(they) differences, and boost technology sharing and standard - setting. For example, the two countries could sign data - sharing agreements for AI model training and strengthen collaboration in AI applications in fields such 2_____ medicine and climate change.
Strengthening antitrust regulations is also necessary to prevent monopolization by a few companies, and ensure that AI technologies are accessible and beneficial to everyone.
AI represents a technological leap for humanity, but 3_____ progress should benefit all of humanity, not just a privileged few. So major AI powers must rise above their competition in high - tech and pursue win - win outcomes. By abandoning zero - sum games and embracing cooperation to achieve mutual benefit, countries around the world can embark on a global "AI labor race", turning AI into a powerful force for building a community with a shared future for mankind.
While it is necessary to establish a platform for international dialogue and ethical standards, it is equally essential to develop a shared ethical framework to drive the development of AI, and ensure organizations such as the United Nations play 4_____ leading role in formulating and implementing rules for the use of AI especially in the fields of privacy protection, and algorithmic fairness and safety.
The rapid progress of AI is based on a solid foundation. Data, computing power and algorithms, often referred to as the "three driving forces" of AI's development, are interdependent and mutually 5_______(reinforce). These are continuously pushing the boundaries of innovation, transitioning AI from an abstract concept to tangible applications. Underpinning this development 6_______(be) the foundational contributions of numerous scientists.
Global data generation continues to soar, providing an unprecedented wealth of resources for training and the optimization of AI models. Open - source data platforms have fueled the development of general - purpose models, while global internet users and industrial data offer highly customized training resources for industry - specific models, and high - quality data inputs facilitate the development of AI models.
However, data monopolization and scarcity have become critical bottlenecks, especially in vertical industries, 7_____ need to be addressed.
Algorithms are the driving force of AI systems. And AI's advancement 8._____ algorithms follows two primary directions: general - purpose large models and industry - specific large models. General - purpose large models, such as OpenAI's ChatGPT and DeepMind's Gemini, excel in multimodal and multilingual processing, accelerating the adoption of generative AI. Industry - specific large models such as AlphaFold have revolutionized biology by predicting protein structures.
Foundational contributions, such as Fields Medal winner Stephen Smale's work on saddle points in optimization theory, and Nobel Prize winner for Physics and the Turing Award winner Geoffrey Hinton's deep learning frameworks, have provided crucial mathematical and algorithmic underpinnings for AI models.
Nobel Prize winners for Chemistry Demis Hassabis and John Jumper have demonstrated the immense potential of domain - specific large models in 9.___(address) critical social issues. These pivotal efforts are driving the homomorphic and isomorphic development of problem spectrums, model groups and algorithm clusters within the technological paradigm, laying the foundation for the continuous 10.____(innovate) of AI.
their
as
its
a
reinforcing
are
Which
in
addressing
innovation