人工智能英文文献原文及译文
人工智能英语作文书
人工智能英语作文书 Artificial Intelligence。 Artificial Intelligence (AI) is a rapidly advancing field in computer science that focuses on creating intelligent machines that can perform tasks that typically require human intelligence. AI has become increasingly popular and is being applied in various industries, including healthcare, finance, and transportation. In this essay, we will explore the development of AI, its benefits, and potential concerns.
The development of AI has come a long way since its inception. It all started with the development of simple algorithms that could perform basic tasks. Over time, researchers began to develop more complex algorithms that could process large amounts of data and learn from it. This led to the creation of machine learning, a subfield of AI that focuses on developing algorithms that can learn and make predictions or decisions without being explicitly programmed. One of the main benefits of AI is its ability to automate tasks and improve efficiency. For example, in the healthcare industry, AI can analyze medical data and assist doctors in diagnosing diseases. This can help reduce human error and improve patient outcomes. In the finance industry, AI algorithms can analyze market trends and make investment decisions, leading to more accurate predictions and potentially higher returns. Additionally, AI is being used in transportation to develop self-driving cars, which can improve road safety and reduce traffic congestion.
人工智能介绍英文版(竹菊书苑)
1
We know that people are thinking through the neurons, and the computer is through a program to execute the work instructions. So, if one day the procedure can replace the neurons, the computer will not be able to produce ideas?
向上教学
16
The evolution of robots may be faster
than humans, and their ultimate goal will be
unpredictable.
Hawking
Man, are you ready for AI’s revolution?
向上教学
Maybe Terminator is coming!
向上教学
6
At present, artificial intelligence has reached a very high level .
This year in July, Robin Li, has been riding an unmanned car in Beijing on the rings for a ride! The driver's hand, has not touched the steering wheel.
向上教学
5
Artificial intelligence has a saying: singularity! After the singularity, artificial intelligence can create a more intelligent artificial products, and then the development of the slope will suddenly steep up.
人工智的英文作文
人工智的英文作文英文：Artificial intelligence, or AI, is a rapidly growing field that involves the development of intelligent machines that can perform tasks that typically require human intelligence. AI has the potential to revolutionize many industries, from healthcare to finance to transportation.One of the most exciting aspects of AI is its ability to learn and adapt. Machine learning algorithms can analyze vast amounts of data and identify patterns and trends that humans may not be able to see. This has many practical applications, such as predicting which patients are at risk for certain diseases or detecting fraud in financial transactions.However, there are also concerns about the potential negative effects of AI. For example, some worry that AI could lead to job losses, as machines become capable ofperforming tasks that were previously done by humans. There are also concerns about the ethical implications of AI, such as the possibility of biased algorithms or the use of AI for surveillance.Despite these concerns, I believe that AI has the potential to greatly benefit society. By automating routine tasks and freeing up human workers to focus on more complex and creative work, AI could lead to increased productivity and innovation. Additionally, AI could help us address some of the biggest challenges facing our world today, such as climate change and disease outbreaks.Overall, I think that AI is a powerful tool that can be used for both good and bad. It is up to us to ensure that we use this technology in a responsible and ethical way.中文：人工智能，或者说AI，是一个快速发展的领域，它涉及到开发能够执行通常需要人类智能的任务的智能机器。
人工智能英语作文
Artificial Intelligence,often abbreviated as AI,is a branch of computer science that aims to create machines capable of performing tasks that would typically require human intelligence.This includes areas such as problemsolving,learning,understanding natural language,speech recognition,and visual perception.The Evolution of AI:The concept of AI has been around since the mid20th century,with early pioneers like Alan Turing laying the groundwork for what would become a multifaceted field.Over the decades,AI has evolved from simple rulebased systems to complex algorithms capable of learning from data,a process known as machine learning.Applications of AI:AI has found its way into various sectors,transforming industries and daily life.Some of the key applications include:1.Healthcare:AI is used for diagnosing diseases,predicting patient outcomes,and even assisting in surgeries.2.Automotive:Selfdriving cars are a prime example of AIs capabilities in realtime decisionmaking and sensor data processing.3.Finance:AI algorithms are used for fraud detection,risk management,and personalized financial advice.4.Customer Service:Chatbots and virtual assistants provide24/7customer support, handling inquiries and resolving issues efficiently.cation:Adaptive learning systems personalize education to meet the needs of individual students,enhancing learning outcomes.Ethical Considerations:With the rapid advancement of AI,ethical concerns have come to the forefront.Issues such as privacy,bias in algorithms,and the potential for job displacement are being actively discussed and addressed by researchers,policymakers,and the public.The Future of AI:The future holds great promise for AI,with ongoing research into areas like general artificial intelligence AGI,which aims to create machines that possess the ability to understand,learn,and apply knowledge across a wide range of tasks.However,it also presents challenges that need to be navigated carefully to ensure that AI benefits humanity as a whole.Conclusion:AI is not just a technological advancement its a paradigm shift in how we interact withthe world.As we continue to develop and integrate AI into various aspects of life,it is crucial to maintain a balance between innovation and ethical responsibility.The journey of AI is one of exploration,learning,and adaptation,shaping the way we live,work,and understand the world around us.。
AI-人工智能英文介绍
• Stanford University • MIT • Carnegie Mellon University (CMU) • Berkeley
• Top research labs
• Microsoft Research (MSR) • IBM Research • AT&T Labs • Xerox PARC, SRI, ATR (Japan), …
IBM “Deep Blue”（1997）
AI continued progress
1960s-1980s
Professor of University of Toronto， leading authority of machine leaning field
2006
1950s
The rise of AI
Turing test
1990s-2000
Shallow machine learning model
SVM,LR,Boosting
2011-2017
New research climax of AI
AlphaGo
“AlphaGo” vs. Lee Sedo（2016）
Top AI schools and companies
“Strong AI” vs. “Weak AI”
• “Strong AI”
Makes the bold claim that computers can be made to think on a level (at least) equal to humans
• “Weak AI”
Some “thinking-like” features can be added to computers to make them more useful tools
ARTIFICIAL INTELLIGENCE——人工智能(英文)
ARTIFICIAL INTELLIGENCE——人工智能1 Artificial intelligence (AI) is, in theory, the ability of an artificial mechanism to demonstrate some form of intelligent behavior equivalent to the behaviors observed in intelligent living organisms. Artificial intelligence is also the name of the field of science and technology in which artificial mechanisms that exhibit behavior resembling intelligence are developed and studied.2 The term AI itself, and the phenomena actually observed, invite --- indeed demand --- philosophical speculation about what in fact constitutes the mind or intelligence. These kinds of questions can be considered separately, however, from a description of the various endeavors to construct increasingly sophisticated mechanisms that exhibit “intelligence.”3 Research into all aspects of AI is vigorous. Some concern exists among workers in the field, however, that both the progress and expectations of AI have been overstated. AI programs are primitive when compared to the kinds of intuitive reasoning and induction of which the human brain or even the brains of much less advanced organisms are capable. AI has indeed shown great promise in the area of expert systems --- that is, knowledge-based expert programs --- but while these programs are powerful when answering questions within a specific domain, they are nevertheless incapable of any type of adaptable, or truly intelligent, reasoning.4 Examples of AI systems include computer programs that perform such tasks as medical diagnoses and mineral prospecting. Computers have also been programmed to display some degree of legal reasoning, speech understanding, vision interpretation, natural-language processing, problem solving, and learning. Although most of these systems have proved valuable either as research vehicles or in specific, practical applications, most of them are also still very far from being perfected.5 CHARACTERISTICS OF AI: No generally accepted theories have yet emerged within the field of AI, owing in part to the fact that AI is a very young science. It is assumed, however, that on the highest level an AI system must receive input from its environment, determine an action or response, and deliver an output to its environment. A mechanism for interpreting the input is needed. This need has led to research in speech understanding, vision, and natural language. The interpretation must be represented in some form that can be manipulated by the machine.6 In order to achieve this goal, techniques of knowledge representation are invoked. The AI interpretation of this, together with knowledge obtained previously, ismanipulated within the system under study by means of some mechanism or algorithm. The system thus arrives at an internal representation of the response or action. The development of such processes requires techniques of expert reasoning, common-sense reasoning, problem solving, planning, signal interpretation, and learning. Finally, the system must网construct an effective response. This requires techniques of natural-language generation.7 THE FIFTH-GENERATION ATTEMPT: In the 1980s, in an attempt to develop an expert system on a very large scale, the Japanese government began building powerful computers with hardware that made logical inferences in the computer language PROLOG. (Following the idea of representing knowledge declaratively, the logic programming PROLOG had been developed in England and France. PROLOG is actually an inference engine that searches declared facts and rules to confirm or deny a hypothesis. A drawback of PROLOG is that it cannot be altered by the programmer.) The Japanese referred to such machines as “fifth-generation” computers.8 By the early 1990s, however, Japan had forsaken this plan and even announced that they were ready to release its software. Although they did not detail reasons for their abandonment of the fifth-generation program, U.S scientists faulted their efforts at AI as being too much in the direction of computer-type logic and too little in the direction of human thinking processes. The choice of PROLOG was also criticized. Other nations were by then not developing software in that computer language and were showing little further enthusiasm for it. Furthermore, the Japanese were not making much progress in parallel processing, a kind of computer architecture involving many independent processors working together in parallel—a method increasingly important in the field of computer science. The Japanese have now defined a “sixth-generation” goal instead, called the Real World Computing Project, that veers away from the expert-systems approach that works only by built-in logical rules.9 THE FUTURE OF AI RESEARCH: One impediment to building even more useful expert systems has been, from the start, the problem of input---in particular, the feeding of raw data into an AI system. To this end, much effort has been devoted to speech recognition, character recognition, machine vision, and natural-language processing. A second problem is in obtaining knowledge. It has proved arduous toextract knowledge from an expert and then code it for use by the machine, so a great deal of effort is also being devoted to learning and knowledge acquisition.10 One of the most useful ideas that has emerged from AI research, however, is that facts and rules (declarative knowledge) can be represented separately from decision-making algorithms (procedural knowledge). This realization has had a profound effect both on the way that scientists approach problems and on the engineering techniques used to produce AI systems. By adopting a particular procedural element, called an inference engine, development of an AI system is reduced to obtaining and codifying sufficient rules and facts from the problem domain. This codification process is called knowledge engineering. Reducing system development to knowledge engineering has opened the door to non-AI practitioners. In addition, business and industry have been recruiting AI scientists to build expert systems.11 In particular, a large number of these problems in the AI field have been associated with robotics. There are, first of all, the mechanical problems of getting a machine to make very precise or delicate movements. Beyond that are the much more difficult problems of programming sequences of movements that will enable a robot to interact effectively with a natural environment, rather than some carefully designed laboratory setting. Much work in this area involves problem solving and planning.12 A radical approach to such problems has been to abandon the aim of developing “reasoning” AI systems and to produce, instead, robots that function “reflexively”. A leading figure in this field has been Rodney Brooks of the Massachusetts Institute of Technology. These AI researchers felt that preceding efforts in robotics were doomed to failure because the systems produced could not function in the real world. Rather than trying to construct integrated networks that operate under a centralizing control and maintain a logically consistent model of the world, they are pursuing a behavior-based approach named subsumption architecture.13 Subsumption architecture employs a design technique called “layering,”---a form of parallel processing in which each layer is a separate behavior-producing network that functions on its own, with no central control. No true separation exists, in these layers, between data and computation. Both of them are distributed over the same networks. Connections between sensors and actuators in these systems are kept short as well. The resulting robots might be called “mindless,” but in fact they have demonstrated remarkable abilities to learn and to adapt to real-life circumstances.14 The apparent successes of this new approach have not convinced many supporters of integrated-systems development that the alternative is a valid one for drawing nearer to the goal of producing true AI. The arguments that have arisen between practitioners of the two different methodologies are in fact profound ones. They have implications about the nature of intelligence in general, whether natural or artificial。
人工智能英语作文素材
人工智能英语作文素材Title: The Impact of Artificial Intelligence on Society。
Artificial intelligence (AI) has emerged as a transformative force shaping various aspects of our society, from economy and healthcare to education and entertainment. Its development and integration into our daily lives have sparked debates regarding its benefits and challenges. In this essay, we will explore the multifaceted impact of AIon society.Firstly, AI has revolutionized industries by enhancing efficiency and productivity. Through automation and machine learning algorithms, tasks that once required significant human labor can now be performed more quickly andaccurately by AI systems. For example, in manufacturing,AI-powered robots can assemble products with precision and speed, leading to cost savings and higher output. Similarly, in agriculture, AI technologies such as drones and sensors enable farmers to monitor crops, optimize irrigation, anddetect diseases more effectively, thus improving yields and reducing waste.Furthermore, AI has transformed the way we communicate and interact with each other. Natural language processing (NLP) algorithms power virtual assistants like Siri and Alexa, enabling users to perform various tasks using voice commands. These AI-driven platforms also facilitate language translation, breaking down barriers between people from different linguistic backgrounds. Additionally, AI algorithms analyze vast amounts of data from social media and online platforms to personalize content and advertisements, shaping our digital experiences and preferences.In the realm of healthcare, AI has the potential to revolutionize diagnosis, treatment, and patient care. Machine learning algorithms can analyze medical images such as X-rays and MRIs with greater accuracy than human radiologists, leading to early detection of diseases like cancer. Moreover, AI-powered chatbots and virtual nurses provide patients with round-the-clock support andinformation, improving access to healthcare services, especially in remote areas. However, concerns about data privacy and the ethical implications of AI in healthcare remain significant challenges that need to be addressed.Education is another area where AI is makingsignificant strides. Personalized learning platforms use AI algorithms to adapt educational content to individual students' needs and learning styles, enhancing engagement and academic performance. Moreover, AI-powered tutoring systems provide students with instant feedback and assistance, supplementing traditional classroom instruction. However, there are concerns about the digital divide andthe potential for AI to exacerbate inequalities in education, as access to AI-driven resources may be limitedin underserved communities.Despite its numerous benefits, AI also posessignificant challenges and risks to society. One of the primary concerns is the potential impact on employment, as automation and AI-driven technologies replace certain jobs and tasks. While AI creates new opportunities in fieldssuch as data science and machine learning, it also leads to job displacement in sectors like manufacturing and customer service. Addressing the socioeconomic implications of AI, including job displacement and income inequality, requires proactive measures such as retraining programs and social safety nets.Another major concern is the ethical implications of AI, particularly regarding bias and fairness. AI systems learn from data, and if the training data is biased, the algorithms can perpetuate and amplify existing inequalities and discrimination. For example, facial recognition algorithms have been shown to exhibit racial and gender biases, leading to wrongful arrests and surveillance of marginalized communities. Ensuring transparency, accountability, and fairness in AI development and deployment is essential to mitigate these ethical concerns and build trust in AI technologies.In conclusion, artificial intelligence has thepotential to revolutionize society positively, enhancing efficiency, productivity, and quality of life. However,realizing the full benefits of AI requires addressing significant challenges, including job displacement, inequality, and ethical considerations. By fostering collaboration between policymakers, technologists, and society at large, we can harness the power of AI to create a more equitable and prosperous future for all.。
人工智能的英语作文
人工智能的英语作文英文回答：Artificial intelligence, or AI, is a rapidly growingfield that has the potential to revolutionize the way welive and work. It refers to the development of computer systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI has already made significant advancements in various industries, including healthcare, finance, transportation, and entertainment.One of the most well-known examples of AI is virtual personal assistants, such as Apple's Siri, Amazon's Alexa, and Google's Assistant. These virtual assistants use AI algorithms to understand and respond to user commands, making our lives more convenient and efficient. For example, I use Siri on my iPhone to set reminders, send messages,and get directions while driving. It's like having apersonal assistant in my pocket!Another example of AI that has become increasingly prevalent is recommendation systems used by online platforms like Netflix, Amazon, and Spotify. These systems analyze users' past behaviors and preferences to suggest personalized content, such as movies, products, or music. For instance, when I log into Netflix, I often see recommendations for movies and TV shows that align with my interests, thanks to the AI algorithms working behind the scenes.In addition to consumer-facing applications, AI is also being used in more complex and critical tasks, such as medical diagnosis and treatment planning. For instance, researchers are developing AI systems that can analyze medical images, such as MRIs and CT scans, to assist doctors in detecting and diagnosing diseases. This not only speeds up the diagnostic process but also improves the accuracy of diagnoses, ultimately benefiting patients.Despite the many benefits of AI, there are alsoconcerns about its potential impact on the job market and privacy. Some people worry that AI will replace human workers in certain industries, leading to unemployment and economic disruption. Moreover, the collection and analysis of massive amounts of personal data by AI systems raise concerns about privacy and data security. These issues highlight the need for ethical guidelines and regulations to ensure that AI is used responsibly and for the benefit of society.In conclusion, artificial intelligence is a powerful and transformative technology with the potential to improve our lives in countless ways. From virtual assistants to recommendation systems to medical diagnostics, AI is already making a significant impact on various aspects of our daily lives. However, it is essential to address the ethical and societal implications of AI to ensure that it is used in a responsible and beneficial manner.中文回答：人工智能，或者AI，是一个快速发展的领域，有潜力彻底改变我们的生活和工作方式。
- 1、下载文档前请自行甄别文档内容的完整性，平台不提供额外的编辑、内容补充、找答案等附加服务。
- 2、"仅部分预览"的文档,不可在线预览部分如存在完整性等问题,可反馈申请退款(可完整预览的文档不适用该条件!)。
- 3、如文档侵犯您的权益，请联系客服反馈,我们会尽快为您处理(人工客服工作时间：9:00-18:30)。
人工智能英文文献原文及译文 1 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, 人工智能英文文献原文及译文 2 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 problems Artificial 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 intelligence Definition 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 more