人工智能Artificial Intelligence双语翻译
大学人工智能英语教材翻译
大学人工智能英语教材翻译IntroductionIn recent years, artificial intelligence (AI) has become a ubiquitous presence in our lives, revolutionizing various industries and fields. To meet the growing demand for AI professionals, universities have started offering courses and developing textbooks on the subject. This article aims to translate key contents of a university-level AI English textbook into Chinese, providing students with a comprehensive resource to enhance their understanding of this rapidly evolving field.Chapter 1: Introduction to Artificial Intelligence人工智能简介Artificial intelligence, often referred to as AI, is a branch of computer science that focuses on the creation of intelligent machines capable of performing tasks that typically require human intelligence. AI can be divided into two categories: narrow AI, which is designed to perform a specific task, and general AI, which aims to replicate human-level intelligence across a wide range of domains.Chapter 2: Machine Learning机器学习Machine learning is a subset of AI that enables computers to learn and improve from experience without being explicitly programmed. It involves the development of algorithms and models that allow computers to analyze and interpret data, identify patterns, and make predictions or decisions basedon the observed information. Supervised learning, unsupervised learning, and reinforcement learning are the three main types of machine learning techniques.Chapter 3: Neural Networks神经网络Neural networks are a fundamental concept in AI. Inspired by the structure and function of the human brain, neural networks consist of interconnected nodes or artificial neurons. These networks learn from training data by adjusting the connections between nodes to optimize their performance. Deep learning, a subfield of AI, utilizes neural networks with multiple layers to solve complex problems and achieve higher accuracy in tasks such as image recognition and natural language processing.Chapter 4: Natural Language Processing自然语言处理Natural language processing (NLP) focuses on enabling computers to interact and understand human language in a natural and meaningful way. It involves the development of algorithms and models that can process, analyze, and generate human language, enabling tasks such as machine translation, sentiment analysis, and chatbot development. NLP plays a crucial role in bridging the gap between humans and AI systems.Chapter 5: Computer Vision计算机视觉Computer vision is an interdisciplinary field that deals with the extraction, analysis, and understanding of visual information from images or videos. Through the use of AI techniques, computers can recognize objects, detect and track motion, and perform tasks such as facial recognition and image classification. Computer vision has various applications, including autonomous vehicles, surveillance systems, and augmented reality.Chapter 6: Robotics and Artificial Intelligence机器人与人工智能The integration of AI and robotics has led to significant advancements in the field of robotics. AI-powered robots can perceive their environment, make autonomous decisions, and interact with humans and other robots effectively. This chapter explores the role of AI in robotics, discussing topics such as robot perception, robot control, and human-robot interaction.Chapter 7: Ethical and Social Implications of AI人工智能的伦理和社会影响As AI continues to advance, ethical considerations and potential societal impact become increasingly important. This chapter delves into the ethical dilemmas surrounding AI, including privacy concerns, biases in AI systems, and the impact of AI on employment and workforce. It emphasizes the need for responsible development and deployment of AI technologies, ensuring that they benefit humanity and uphold ethical standards.ConclusionIn conclusion, this article has provided a translated overview of key topics in a university-level AI English textbook. By familiarizing themselves with these concepts, students can deepen their understanding of artificial intelligence and its various applications. Moreover, this translation serves as a valuable resource for educators and researchers in the Chinese-speaking community who seek to expand their knowledge in this rapidly advancing field. With the continued development of AI, it is imperative to bridge language barriers and foster global collaboration in order to drive innovation and ensure responsible AI implementation.。
Artificial_Intelligence人工智能(AI)英语演讲
Artificial_Intelligence人工智能(AI)英语演讲Artificial Intelligence: Revolutionizing the FutureIntroduction:Ladies and gentlemen,Today, I stand before you to shed light on one of the most transformative technologies of our time, Artificial Intelligence (AI). It is an honor to deliver this speech on the potential, challenges, and impact of AI in shaping our future. AI, often referred to as the pinnacle of human innovation, carries immense potential to revolutionize various aspects of our lives, from healthcare to transportation, from education to entertainment. With its ever-expanding capabilities, AI has the power to redefine the boundaries of human achievement. So let us delve into the realm of Artificial Intelligence and explore its significance.I. Understanding Artificial Intelligence:Artificial Intelligence is a branch of computer science that focuses on the development of intelligent machines capable of performing tasks that would typically require human intelligence. These tasks encompass problem-solving, learning, speech recognition, decision-making, and much more. AI systems are designed to analyze vast amounts of data, identify patterns, and generate insights, enabling them to emulate human cognitive abilities.II. Applications of Artificial Intelligence:1. Healthcare:AI has the potential to revolutionize healthcare by enabling accurate diagnostics, personalized treatment plans, and drug discovery. Medical professionals can rely on AI systems to analyze patient data, suggest treatment options, and predict disease outcomes. Furthermore, AI-powered robots can assist in surgeries, making procedures more precise and reducing human errors.2. Transportation:The transportation industry is already witnessing the integration of AI technology. Self-driving cars guided by AI algorithms are reducing accidents and improving efficiency. AI also plays a crucial role in optimizing traffic control systems, leading to smoother traffic flow and reduced congestion.3. Education:AI has the power to transform the education sector by personalizing the learning experience for students. Adaptive learning platforms powered by AI algorithms can tailor educational content to individual needs, enhancing engagement and knowledge retention. Additionally, AI-powered chatbots can provide instant support to students, answering their queries and facilitating a seamless learning process.4. Entertainment:AI is revolutionizing the entertainment industry by enabling personalized recommendations, content creation, and virtual reality experiences. Streaming platforms utilize AI algorithms to analyze user preferences andsuggest relevant content. Moreover, AI algorithms can generate music, movies, and art, showcasing the endless possibilities of AI-driven creativity.III. Challenges and Ethical Considerations:While the potential of AI is vast, its development does not come without challenges and ethical considerations. It is essential to address these concerns to ensure that the deployment of AI adheres to ethical standards.1. Job Displacement:AI has raised concerns about job displacement, as automation threatens to replace certain job roles. However, history has shown that technological advancements create new job opportunities as old ones become obsolete. It is crucial to foster a workforce that embraces the changes brought by AI technology through upskilling and reskilling initiatives.2. Data Privacy:AI systems rely heavily on vast amounts of data, raising concerns about data privacy and security. Striking a balance between utilizing data for innovation and safeguarding individuals' privacy rights is of utmost importance. Strict regulations and robust data protection measures are necessary to prevent misuse of personal information.3. Bias and Fairness:AI algorithms are only as unbiased as the data they are trained on. If fed biased or incomplete data, AI systems can perpetuate societal biases. It is crucial to ensure the development of AI systems that are fair, transparent,and accountable. Ethical guidelines and diverse development teams can help address this concern.IV. Conclusion:In conclusion, Artificial Intelligence is an awe-inspiring technology that continues to shape our world. From healthcare to transportation, education to entertainment, the potential of AI knows no bounds. It is essential for us as a society to embrace the opportunities presented by AI while addressing the challenges it poses. By doing so, we can harness the power of AI to create a better and more prosperous future for all.Thank you all for your kind attention.。
人工智能的英语解释
人工智能的英语解释英文回答：Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. AI research has been highly successful in developing effective techniques for solving a wide range of problems in many fields, including computer vision, natural language processing, and machine learning.Applications of AI.AI has a wide range of applications in variousindustries and sectors, including:Healthcare: AI-powered systems are used for disease diagnosis, drug discovery, and personalized treatment plans.Finance: AI algorithms are employed for fraud detection, risk assessment, and trading decisions.Transportation: AI is used for autonomous driving, traffic management, and route optimization.Manufacturing: AI techniques are utilized for predictive maintenance, process optimization, and quality control.Retail: AI systems are used for personalized recommendations, demand forecasting, and inventory management.Types of AI.AI can be categorized into different types based on the level of intelligence and autonomy exhibited by the system:Reactive Machines: These AI systems react to the current environment without the ability to learn or remember past experiences.Limited Memory: AI systems with limited memory canstore past experiences and use them to inform current decisions.Theory of Mind: These AI systems can understand the mental states of other entities, such as beliefs, desires, and intentions.Self-Awareness: AI systems with self-awareness are able to reflect on their own thoughts and actions.Benefits of AI.The adoption of AI technology offers numerous potential benefits, such as:Efficiency: AI systems can automate repetitive and time-consuming tasks, freeing up human workers for more complex and creative endeavors.Accuracy: AI algorithms can process large volumes of data and extract patterns and insights that are difficult for humans to identify.Consistency: AI systems can consistently perform tasks without the errors or biases that can affect humandecision-making.Innovation: AI technology drives innovation by enabling the development of new products, services, and processes.Economic Growth: AI has the potential to contribute to economic growth by increasing productivity and creating new job opportunities.Challenges of AI.While AI holds great promise, it also presents several challenges that need to be addressed:Job Displacement: AI systems can displace human workers in certain job roles, raising concerns about unemployment.Bias: AI algorithms can inherit biases from the data they are trained on, leading to unfair or discriminatory outcomes.Security: AI systems can be vulnerable to hacking and misuse, potentially leading to security breaches.Ethics: The rapid advancement of AI raises ethical questions about the responsible development and use of AI technology.Future of AI.The future of AI is highly anticipated, with researchers and industry leaders envisioning a world where AI systems seamlessly collaborate with humans to solve complex problems and enhance human capabilities. As AI technology continues to evolve, it is expected to play an increasingly significant role in shaping the future of society and the economy.中文回答：什么是人工智能？人工智能（AI）是指机器（尤其是计算机系统）模拟人类智能过程的能力。
人工智能英文文献原文及译文
附件四英文文献原文Artificial Intelligence"Artificial intelligence" is a word was originally Dartmouth in 1956 to put forward. From then on, researchers have developed many theories and principles, the concept of artificial intelligence is also expands. Artificial intelligence is a challenging job of science, the person must know computer knowledge, psychology and philosophy. Artificial intelligence is included a wide range of science, it is composed of different fields, such as machine learning, computer vision, etc, on the whole, the research on artificial intelligence is one of the main goals of the machine can do some usually need to perform complex human intelligence. But in different times and different people in the "complex" understanding is different. Such as heavy science and engineering calculation was supposed to be the brain to undertake, now computer can not only complete this calculation, and faster than the human brain can more accurately, and thus the people no longer put this calculation is regarded as "the need to perform complex human intelligence, complex tasks" work is defined as the development of The Times and the progress of technology, artificial intelligence is the science of specific target and nature as The Times change and development. On the one hand it continues to gain new progress on the one hand, and turning to more meaningful, the more difficult the target. Current can be used to study the main material of artificial intelligence and artificial intelligence technology to realize the machine is a computer, the development history of artificial intelligence is computer science and technology and the development together. Besides the computer science and artificial intelligence also involves information, cybernetics, automation, bionics, biology, psychology, logic, linguistics, medicine and philosophy and multi-discipline. Artificial intelligence research include: knowledge representation, automatic reasoning and search method, machine learning and knowledge acquisition and processing of knowledge system, natural language processing, computer vision, intelligent robot, automatic program design, etc.Practical application of machine vision: fingerprint identification,face recognition, retina identification, iris identification, palm, expert system, intelligent identification, search, theorem proving game, automatic programming, and aerospace applications.Artificial intelligence is a subject categories, belong to the door edge discipline of natural science and social science.Involving scientific philosophy and cognitive science, mathematics, neurophysiological, psychology, computer science, information theory, cybernetics, not qualitative theory, bionics.The research category of natural language processing, knowledge representation, intelligent search, reasoning, planning, machine learning, knowledge acquisition, combined scheduling problem, perception, pattern recognition, logic design program, soft calculation, inaccurate and uncertainty, the management of artificial life, neural network, and complex system, human thinking mode of genetic algorithm.Applications of intelligent control, robotics, language and image understanding, genetic programming robot factory.Safety problemsArtificial intelligence is currently in the study, but some scholars think that letting computers have IQ is very dangerous, it may be against humanity. The hidden danger in many movie happened.The definition of artificial intelligenceDefinition of artificial intelligence can be divided into two parts, namely "artificial" or "intelligent". "Artificial" better understanding, also is controversial. Sometimes we will consider what people can make, or people have high degree of intelligence to create artificial intelligence, etc. But generally speaking, "artificial system" is usually significance of artificial system.What is the "smart", with many problems. This involves other such as consciousness, ego, thinking (including the unconscious thoughts etc. People only know of intelligence is one intelligent, this is the universal view of our own. But we are very limited understanding of the intelligence of the intelligent people constitute elements are necessary to find, so it is difficult to define what is "artificial" manufacturing "intelligent". So the artificial intelligence research often involved in the study of intelligent itself. Other about animal or other artificial intelligence system is widely considered to be related to the study of artificial intelligence.Artificial intelligence is currently in the computer field, the moreextensive attention. And in the robot, economic and political decisions, control system, simulation system application. In other areas, it also played an indispensable role.The famous American Stanford university professor nelson artificial intelligence research center of artificial intelligence under such a definition: "artificial intelligence about the knowledge of the subject is and how to represent knowledge -- how to gain knowledge and use of scientific knowledge. But another American MIT professor Winston thought: "artificial intelligence is how to make the computer to do what only can do intelligent work." These comments reflect the artificial intelligence discipline basic ideas and basic content. Namely artificial intelligence is the study of human intelligence activities, has certain law, research of artificial intelligence system, how to make the computer to complete before the intelligence needs to do work, also is to study how the application of computer hardware and software to simulate human some intelligent behavior of the basic theory, methods and techniques.Artificial intelligence is a branch of computer science, since the 1970s, known as one of the three technologies (space technology, energy technology, artificial intelligence). Also considered the 21st century (genetic engineering, nano science, artificial intelligence) is one of the three technologies. It is nearly three years it has been developed rapidly, and in many fields are widely applied, and have made great achievements, artificial intelligence has gradually become an independent branch, both in theory and practice are already becomes a system. Its research results are gradually integrated into people's lives, and create more happiness for mankind.Artificial intelligence is that the computer simulation research of some thinking process and intelligent behavior (such as study, reasoning, thinking, planning, etc.), including computer to realize intelligent principle, make similar to that of human intelligence, computer can achieve higher level of computer application. Artificial intelligence will involve the computer science, philosophy and linguistics, psychology, etc. That was almost natural science and social science disciplines, the scope of all already far beyond the scope of computer science and artificial intelligence and thinking science is the relationship between theory and practice, artificial intelligence is in the mode of thinking science technology application level, is one of its application. From the view of thinking, artificial intelligence is not limited to logicalthinking, want to consider the thinking in image, the inspiration of thought of artificial intelligence can promote the development of the breakthrough, mathematics are often thought of as a variety of basic science, mathematics and language, thought into fields, artificial intelligence subject also must not use mathematical tool, mathematical logic, the fuzzy mathematics in standard etc, mathematics into the scope of artificial intelligence discipline, they will promote each other and develop faster.A brief history of artificial intelligenceArtificial intelligence can be traced back to ancient Egypt's legend, but with 1941, since the development of computer technology has finally can create machine intelligence, "artificial intelligence" is a word in 1956 was first proposed, Dartmouth learned since then, researchers have developed many theories and principles, the concept of artificial intelligence, it expands and not in the long history of the development of artificial intelligence, the slower than expected, but has been in advance, from 40 years ago, now appears to have many AI programs, and they also affected the development of other technologies. The emergence of AI programs, creating immeasurable wealth for the community, promoting the development of human civilization.The computer era1941 an invention that information storage and handling all aspects of the revolution happened. This also appeared in the U.S. and Germany's invention is the first electronic computer. Take a few big pack of air conditioning room, the programmer's nightmare: just run a program for thousands of lines to set the 1949. After improvement can be stored procedure computer programs that make it easier to input, and the development of the theory of computer science, and ultimately computer ai. This in electronic computer processing methods of data, for the invention of artificial intelligence could provide a kind of media.The beginning of AIAlthough the computer AI provides necessary for technical basis, but until the early 1950s, people noticed between machine and human intelligence. Norbert Wiener is the study of the theory of American feedback. Most familiar feedback control example is the thermostat. It will be collected room temperature and hope, and reaction temperature compared to open or close small heater, thus controlling environmental temperature. The importance of the study lies in the feedback loop Wiener:all theoretically the intelligence activities are a result of feedback mechanism and feedback mechanism is. Can use machine. The findings of the simulation of early development of AI.1955, Simon and end Newell called "a logical experts" program. This program is considered by many to be the first AI programs. It will each problem is expressed as a tree, then choose the model may be correct conclusion that a problem to solve. "logic" to the public and the AI expert research field effect makes it AI developing an important milestone in 1956, is considered to be the father of artificial intelligence of John McCarthy organized a society, will be a lot of interest machine intelligence experts and scholars together for a month. He asked them to Vermont Dartmouth in "artificial intelligence research in summer." since then, this area was named "artificial intelligence" although Dartmouth learn not very successful, but it was the founder of the centralized and AI AI research for later laid a foundation.After the meeting of Dartmouth, AI research started seven years. Although the rapid development of field haven't define some of the ideas, meeting has been reconsidered and Carnegie Mellon university. And MIT began to build AI research center is confronted with new challenges. Research needs to establish the: more effective to solve the problem of the system, such as "logic" in reducing search; expert There is the establishment of the system can be self learning.In 1957, "a new program general problem-solving machine" first version was tested. This program is by the same logic "experts" group development. The GPS expanded Wiener feedback principle, can solve many common problem. Two years later, IBM has established a grind investigate group Herbert AI. Gelerneter spent three years to make a geometric theorem of solutions of the program. This achievement was a sensation.When more and more programs, McCarthy busy emerge in the history of an AI. 1958 McCarthy announced his new fruit: LISP until today still LISP language. In. "" mean" LISP list processing ", it quickly adopted for most AI developers.In 1963 MIT from the United States government got a pen is 22millions dollars funding for research funding. The machine auxiliary recognition from the defense advanced research program, have guaranteed in the technological progress on this plan ahead of the Soviet union. Attracted worldwide computer scientists, accelerate the pace of development of AI research.Large programAfter years of program. It appeared a famous called "SHRDLU." SHRDLU "is" the tiny part of the world "project, including the world (for example, only limited quantity of geometrical form of research and programming). In the MIT leadership of Minsky Marvin by researchers found, facing the object, the small computer programs can solve the problem space and logic. Other as in the late 1960's STUDENT", "can solve algebraic problems," SIR "can understand the simple English sentence. These procedures for handling the language understanding and logic.In the 1970s another expert system. An expert system is a intelligent computer program system, and its internal contains a lot of certain areas of experience and knowledge with expert level, can use the human experts' knowledge and methods to solve the problems to deal with this problem domain. That is, the expert system is a specialized knowledge and experience of the program system. Progress is the expert system could predict under certain conditions, the probability of a solution for the computer already has. Great capacity, expert systems possible from the data of expert system. It is widely used in the market. Ten years, expert system used in stock, advance help doctors diagnose diseases, and determine the position of mineral instructions miners. All of this because of expert system of law and information storage capacity and become possible.In the 1970s, a new method was used for many developing, famous as AI Minsky tectonic theory put forward David Marr. Another new theory of machine vision square, for example, how a pair of image by shadow, shape, color, texture and basic information border. Through the analysis of these images distinguish letter, can infer what might be the image in the same period. PROLOGE result is another language, in 1972. In the 1980s, the more rapid progress during the AI, and more to go into business. 1986, the AI related software and hardware sales $4.25 billion dollars. Expert system for its utility, especially by demand. Like digital electric company with such company XCON expert system for the VAX mainframe programming. Dupont, general motors and Boeing has lots of dependence of expert system for computer expert. Some production expert system of manufacture software auxiliary, such as Teknowledge and Intellicorp established. In order to find and correct the mistakes, existing expert system and some other experts system was designed，such as teach users learn TVC expert system of the operating system.From the lab to daily lifePeople began to feel the computer technique and artificial intelligence. No influence of computer technology belong to a group of researchers in the lab. Personal computers and computer technology to numerous technical magazine now before a people. Like the United States artificial intelligence association foundation. Because of the need to develop, AI had a private company researchers into the boom. More than 150 a DEC (it employs more than 700 employees engaged in AI research) that have spent 10 billion dollars in internal AI team.Some other AI areas in the 1980s to enter the market. One is the machine vision Marr and achievements of Minsky. Now use the camera and production, quality control computer. Although still very humble, these systems have been able to distinguish the objects and through the different shape. Until 1985 America has more than 100 companies producing machine vision systems, sales were us $8 million.But the 1980s to AI and industrial all is not a good year for years. 1986-87 AI system requirements, the loss of industry nearly five hundred million dollars. Teknowledge like Intellicorp and two loss of more than $6 million, about one-third of the profits of the huge losses forced many research funding cuts the guide led. Another disappointing is the defense advanced research programme support of so-called "intelligent" this project truck purpose is to develop a can finish the task in many battlefield robot. Since the defects and successful hopeless, Pentagon stopped project funding.Despite these setbacks, AI is still in development of new technology slowly. In Japan were developed in the United States, such as the fuzzy logic, it can never determine the conditions of decision making, And neural network, regarded as the possible approaches to realizing artificial intelligence. Anyhow, the eighties was introduced into the market, the AI and shows the practical value. Sure, it will be the key to the 21st century. "artificial intelligence technology acceptance inspection in desert storm" action of military intelligence test equipment through war. Artificial intelligence technology is used to display the missile system and warning and other advanced weapons. AI technology has also entered family. Intelligent computer increase attracting public interest. The emergence of network game, enriching people's life.Some of the main Macintosh and IBM for application software such as voice and character recognition has can buy, Using fuzzy logic,AI technology to simplify the camera equipment. The artificial intelligence technology related to promote greater demand for new progress appear constantly. In a word ，Artificial intelligence has and will continue to inevitably changed our life.附件三英文文献译文人工智能“人工智能”一词最初是在1956 年Dartmouth在学会上提出来的。
1-7 Artificial Intelligence(AI)
systems that learn new concepts and tasks ,systems that can reason and draw useful conclusions about the world around us, systems that can understand a natural language or perceive and comprehend a visual scene, and systems that perform
确实，在不同地执行某些任 务中它们会实际上超过人的 一些能力。重要的一点是这 些系统都能有效而高效率地 执行智能任务。
Key words: exceed [ɪkˈsi:d] vt. 超过; 超越; 胜过
它具体体现了有意识地和无 意识地通过学习和经验获得 的所有知识和技艺：高度精 确的视觉和听觉感知；思维； 想象；交谈、读、写、驾车、 记忆和回忆事实、表达和感 受情感的能力，以及更多。
Expanded vocabulary: embody [ɪmˈbɒdi] vt. 表现 conscious [ˈkɒnʃəs] adj. 有意识的 refine[rɪˈfaɪn] vt. 提炼; 改善
1-7Artificial Intelligence(AI)
In spite of these impressive achievements,
we still have not been able to produce co-
ordinated, autonomous systems which
1-7Artificial Intelligence(AI)
Can we ever expect to build systems which exhibit these characteristics? The answer to this question is yes! Systems have already been developed to perform many types of intelligent tasks, and expectations are high for near term development of even more impressive systems. We now have systems which can learn from examples, from being told, from past related experiences, and through reasoning.
Lesson_2_Artificial_Intelligence
an interview with Ananova
Ananova: ________. The only ________ of being a computer is that I have no feelings ___________.
an interview with Ananova
Presenter: So what next? I mean what are the plans for Ananova?
Presenter: Hi, and welcome to this week’s Computer World. To start off ... Ananova: Good evening. Here is the news. Presenter: Yes, Ananova, the world’s first ________ news reader. She _______ the news twenty-four hours a day on . And tonight she ’s in the studio for an interview with us, well, what I mean is, she’s here on screen, of course, because she’s not _____. She ______________________being a virtual character – just an _____. Is that clear? And another thing, it’s not a real interview. What I’m trying to say is that we sent the questions to her programmers _________. She can do nothing ____________ but she certainly sounds good. Ananova, welcome to the program.
人工智能ArtificialIntelligen
人工智能ArtificialIntelligen人工智能 Artificial IntelligenceToday, with the fast development of science and technology, the artificial intelligence has gone much further than people can imagine, such as the robot. Now the first robot is admitted to be a citizen, which scares so many people. Many scientists had predicted that someday robots would replace human being not only in physical work, but also in minds. How terrible it would be. It is said that scientists saw two robots discussing by creating a new language, then they decided to turn down the machine and made them stop working. They knew clearly the danger may happen in the future. Most people have thought about self-consciousness that robot may have some day, but scientists still have a lot of passion in searching the robots. They want to complete everything. But no one can make sure what they can bring for human being.今天，随着科技的快速发展，人工智能比人们想象中走得更远，比如机器人。
2021考研英语热词之人工智能
版权所有 翻版必究1 中公学员内部专用人工智能artificial intelligence （AI ）人工智能DeepMind 深度思维（一家著名的人工智能企业） tech giants 科技巨头the Information Commissioner 英国信息委员会；信息专员 maladapted [ˌmælə'dæptid] a.不适应的revolution [ˌrevəˈluːʃn]革命digital feudalism 数字封建主义monopoly [məˈnɑːpəli] n.垄断application [ˌæplɪˈkeɪʃn] n.应用foreshadow [fɔːrˈʃædoʊ] v.预示；是…的预兆technology [tekˈnɑːlədʒi] n.科技identity [aɪˈdentəti] n.身份consciousness [ˈkɑːnʃəsnəs] n.意识；知觉machine [məˈʃiːn]n. 机器imitate [ˈɪmɪteɪt] v.模仿complex [ˈkɑːmpleks] a.复杂的 sophisticated [səˈfɪstɪkeɪtɪd] a.复杂的reproduce [ˌriːprəˈduːs] v.复制；再生产neuroscientist [ˌnjuərəu'saiəntist] n.神经科学家autonomous vehicles 自动驾驶汽车imaginable [ɪˈmædʒɪnəbl] a.可想象的programming [ˈproʊɡræmɪŋ] n.编程；程序设计masses of data 大量数据ethical questions 道德问题版权所有 翻版必究2中公学员内部专用 code [koʊd] n.代码surveillance [sɜːrˈveɪləns] n 监视.international norms 国际规范violate [ˈvaɪəleɪt] v.违反deploy [dɪˈplɔɪ] v.部署human rights 人权system [ˈsɪstəm] n.系统out -of -control 无法控制algorithm [ˈælɡərɪðəm] 算法pattern [ˈpætərn] 模式binary [ˈbaɪnəri] 二进制的challenge [ˈtʃælɪndʒ] 挑战breakthrough [ˈbreɪkθruː] 突破funding [ˈfʌndɪŋ] 投资initiative [ɪˈnɪʃətɪv] n. 倡议innovation [ˌɪnəˈveɪʃn] 创新sensor [ˈsensər] 感应器analyze [ˈænəlaɪz] 分析complex [kəmˈpleks] 复杂的conscious machines 有意识的机器engineering [ˌendʒɪˈnɪrɪŋ] n.工程学existential threat 生存威胁machine learning 机器学习deep learning 深度学习natural language processing 自然语言处理AlphaGo 阿尔法狗（一款围棋人工智能程序）版权所有 翻版必究3中公学员内部专用 artificial intelligence lab 人工智能实验室 Silicon Valley 硅谷Machine Learning (ML) 机器学习Automatic Speech Recognition (ASR) 语音识别技术 Image Recognition Technology (IRT) 图像识别技术 voice recognition system 语音识别系统face recognition 人脸识别Virtual Reality (VR) 虚拟现实Augmented Reality (AR) 增强现实data mining 数据挖掘supervised learning 监督学习big data 大数据cloud computing 云计算autonomic computing 自主计算。
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人工智能Artificial Intelligence
感知perception
推理reasoning
学习learning
交流communicating
自适应acting in complex environments
符号主义Symbolism
连接主义Connectionism
行为主义actionism
具有智能的实体agent
自动定理证明ATP(Automatic Theorem Proving)
智能管理信息系统IMIS-Intelligent Management Information System
一种语言A language
推理规则Inference rules
命题演算propositional calculus
谓词演算predicate calculus
命题联结词connective
析取disjunction
合取conjunction
非negation
蕴涵implication
等值equivalence
合式公式well-formed formulas, wff
原子atom
永真蕴涵式valid implication
公式的析取范式DNF- disjunctive normal form
公式的合取范式CNF-conjunctive normal form
个体individual
谓词predicate
全称量词universal quantifier
存在量词existential quantifier
辖域scope
谓词公式predicate formula
符号symbol
项term
原子atom
前束范式prenex form
文字literal
子句clause
子句集set of clause
基例ground instangce
语义树sematic tree
替换substitution
合一unification
合一算法unification algorithm
最一般合一most general unifer-MGU
函数型语言Lisp
逻辑型语言Prolog—Programming in Logic
面向对象语言Smalltalk
混合型语言POPLOG
匹配合一matching unification
回溯backtracking
常量说明语句constants
域说明语句domains
数据库说明语句database
谓词说明语句predicates
目标语句goal
子句集clauses
内部谓词internal predicate
字符串处理string processing
动态数据库dynamic database
递归recursion
知识表示knowledge representation
框架frames
语义网络semantic networks
产生式规则production rule
专用的框架表示语言FRL Frame Representation Language
节点node
弧线arc
有向图directed graph
状态图state-space graph
状态state
算符operator
盲目搜索uninformed search
宽度优先搜索breadth-first search
深度优先搜索depth-first search
启发式搜索heuristically search
估价函数evaluation function
启发函数heuristic function。