인공지능

수학노트
둘러보기로 가기 검색하러 가기

노트

위키데이터

말뭉치

  1. Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.[1]
  2. Artificial intelligence (AI) , the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.[1]
  3. Research in AI has focused chiefly on the following components of intelligence: learning, reasoning, problem solving, perception, and using language.[1]
  4. AAAI aims to promote research in, and responsible use of, artificial intelligence.[2]
  5. AAAI will be performing some system maintenance on all AI Magazine archives, as well as some 2019 and 2020 proceedings files from October 20-26.[2]
  6. AAAI would like to wish all of our members, affiliated volunteers, and the greater international AI community all the best during this most challenging time.[2]
  7. If you want to learn more about artificial intelligence or keep up to date with AI from the news, publications and conferences, visit the AITopics site.[2]
  8. On a lighter note, such articles are actually rather impressive, because they succinctly summarize the scenario that AI researchers don’t worry about.[3]
  9. A superintelligent AI is by definition very good at attaining its goals, whatever they may be, so we need to ensure that its goals are aligned with ours.[3]
  10. In fact, the main concern of the beneficial-AI movement isn’t with robots but with intelligence itself: specifically, intelligence whose goals are misaligned with ours.[3]
  11. At it's core, AI is the branch of computer science that aims to answer Turing's question in the affirmative.[4]
  12. The expansive goal of artificial intelligence has given rise to many questions and debates.[4]
  13. The major limitation in defining AI as simply "building machines that are intelligent" is that it doesn't actually explain what artificial intelligence is?[4]
  14. "AI is a computer system able to perform tasks that ordinarily require human intelligence...[4]
  15. Few concepts are as poorly understood as artificial intelligence.[5]
  16. Opinion surveys show that even top business leaders lack a detailed sense of AI and that many ordinary people confuse it with super-powered robots or hyper-intelligent devices.[5]
  17. Turing was followed up a few years later by John McCarthy, who first used the term “artificial intelligence” to denote machines that could think autonomously.[5]
  18. Each of the AI features has the potential to move civilization forward in progressive ways.[5]
  19. Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.[6]
  20. When most people hear the term artificial intelligence, the first thing they usually think of is robots.[6]
  21. As technology advances, previous benchmarks that defined artificial intelligence become outdated.[6]
  22. AI is continuously evolving to benefit many different industries.[6]
  23. In Brief The Problem Cognitive technologies are increasingly being used to solve business problems, but many of the most ambitious AI projects encounter setbacks or fail.[7]
  24. The contrast between the two approaches is relevant to anyone planning AI initiatives.[7]
  25. It is useful for companies to look at AI through the lens of business capabilities rather than technologies.[7]
  26. As companies become more familiar with cognitive tools, they are experimenting with projects that combine elements from all three categories to reap the benefits of AI.[7]
  27. Artificial Intelligence (AI) is rapidly transforming our world.[8]
  28. Remarkable surges in AI capabilities have led to a number of innovations including autonomous vehicles and connected Internet of Things devices in our homes.[8]
  29. AI is even contributing to the development of a brain-controlled robotic arm that can help a paralyzed person feel again through complex direct human-brain interfaces.[8]
  30. AI has the potential to impact nearly all aspects of our society, including our economy, but the development and use of the new technologies it brings are not without technical challenges and risks.[8]
  31. America has long been the global leader in this new era of AI, and is poised to maintain this leadership going forward because of our strong innovation ecosystem.[9]
  32. Realizing the full potential of AI for the Nation requires the combined efforts of industry, academia, and government.[9]
  33. The Administration has been active in developing policies and implementing strategies that accelerate AI innovation in the U.S. for the benefit of the American people.[9]
  34. These activities align with several areas of emphasis: AI for American Innovation, AI for American Industry, AI for the American Worker, and AI with American Values.[9]
  35. Early AI research in the 1950s explored topics like problem solving and symbolic methods.[10]
  36. While Hollywood movies and science fiction novels depict AI as human-like robots that take over the world, the current evolution of AI technologies isn’t that scary – or quite that smart.[10]
  37. Instead, AI has evolved to provide many specific benefits in every industry.[10]
  38. The experts predicted networked artificial intelligence will amplify human effectiveness but also threaten human autonomy, agency and capabilities.[11]
  39. Many focused their optimistic remarks on health care and the many possible applications of AI in diagnosing and treating patients or helping senior citizens live fuller and healthier lives.[11]
  40. All respondents in this non-scientific canvassing were asked to elaborate on why they felt AI would leave people better off or not.[11]
  41. Most AI tools are and will be in the hands of companies striving for profits or governments striving for power.[11]
  42. In computer science, the term artificial intelligence (AI) refers to any human-like intelligence exhibited by a computer, robot, or other machine.[12]
  43. After decades of being relegated to science fiction, today, AI is part of our everyday lives.[12]
  44. AI is completing our words as we type them, providing driving directions when we ask, vacuuming our floors, and recommending what we should buy or binge-watch next.[12]
  45. What’s the difference between artificial intelligence and machine learning?[12]
  46. Graphics card designer Nvidia recently revealed an AI-based system Maxine, which allows people to make good quality video calls, almost regardless of the speed of their internet connection.[13]
  47. A case in point are self-driving cars, which themselves are underpinned by AI-powered systems such as computer vision.[13]
  48. Pioneers in the field of modern AI research such as Geoffrey Hinton, Demis Hassabis and Yann LeCun say society is nowhere near developing AGI.[13]
  49. In 2012, another breakthrough heralded AI's potential to tackle a multitude of new tasks previously thought of as too complex for any machine.[13]
  50. This aspect of AI programming focuses on acquiring data and creating rules for how to turn the data into actionable information.[14]
  51. weak AI AI can be categorized as either weak or strong.[14]
  52. Weak AI, also known as narrow AI, is an AI system that is designed and trained to complete a specific task.[14]
  53. Industrial robots and virtual personal assistants, such as Apple's Siri, use weak AI.[14]
  54. Artificial Intelligence (AI) is the combination of algorithms formulated for the purpose of creating machines that have the same skills as a human being.[15]
  55. For the topic of the abbreviation, see Artificial intelligence (disambiguation) .[16]
  56. A.I. Artificial Intelligence (also known as A.I.) is a 2001 American science fiction drama film directed by Steven Spielberg.[16]
  57. Development of A.I. originally began with producer-director Stanley Kubrick, after he acquired the rights to Aldiss' story in the early 1970s.[16]
  58. In 1995, Kubrick handed A.I. to Spielberg, but the film did not gain momentum until Kubrick's death in 1999.[16]
  59. A quip in Tesler's Theorem says "AI is whatever hasn't been done yet.[17]
  60. Approaches include statistical methods, computational intelligence, and traditional symbolic AI.[17]
  61. Many tools are used in AI, including versions of search and mathematical optimization, artificial neural networks, and methods based on statistics, probability and economics.[17]
  62. AI's founders were optimistic about the future: Herbert Simon predicted, "machines will be capable, within twenty years, of doing any work a man can do".[17]
  63. Your devices fade into the background, working together with AI and software to assist you throughout your day.[18]
  64. In addition to asset-awareness and management, active AI research areas include Computer Vision, automation, autonomy, User Experience, Augmented Reality and Robotics.[19]
  65. The OECD.AI Policy Observatory also hosts the AI Wonk blog, a space where the OECD Network of Experts on AI and guest contributors share their experiences and research.[20]
  66. Artificial Intelligence is the ability of machines to seemingly think for themselves.[21]
  67. AI is demonstrated when a task, formerly performed by a human and thought of as requiring the ability to learn, reason and solve problems, can now be done by a machine.[21]
  68. Converging technologies along with Big Data and the Internet of Things (IoT) are driving the growth of AI and AI technologies.[21]
  69. An introductory course in AI is a good place to start as it will give you an overview of the components bring you up to speed on the AI research and developments to date.[21]
  70. The journal will also consider summary papers that describe challenges and competitions from various areas of AI.[22]
  71. Papers that are only purely mathematical in nature, without demonstrated applicability to artificial intelligence problems may be returned.[22]
  72. The Research Notes section of the Journal of Artificial Intelligence will provide a forum for short communications that cannot fit within the other paper categories.[22]
  73. Competitions between AI systems are now well established (e.g. in speech and language, planning, auctions, games, to name a few).[22]
  74. If you are new to Python programming, we suggest our AI Programming with Python Nanodegree program .[23]
  75. The growth of AI across a range of technical fields raises a number of policy questions with respect to IP.[24]
  76. How big data, artificial intelligence, and other technologies are changing healthcare.[24]
  77. A computer can beat the world chess champion and understand voice commands on your smartphone, but real artificial intelligence has yet to arrive.[25]
  78. Artificial intelligence (AI) is evolving—literally.[26]
  79. Building an AI algorithm takes time.[26]
  80. But Le also believes boosting the number of mathematical operations in the library and dedicating even more computing resources to the program could let it discover entirely new AI capabilities.[26]
  81. Artificial intelligence is a constellation of many different technologies working together to enable machines to sense, comprehend, act, and learn with human-like levels of intelligence.[27]
  82. Some go even further to define artificial intelligence as “narrow” and “general” AI.[27]
  83. Most of what we experience in our day-to-day lives is narrow AI, which performs a single task or a set of closely related tasks.[27]
  84. While machines can perform some tasks better than humans (e.g. data processing), this fully realized vision of general AI does not yet exist outside the silver screen.[27]
  85. Artificial intelligence (AI) refers to complex software that performs tasks in a way similar to human brains, often by sensing and responding to a feature of their environment.[28]
  86. Just as no single quality defines human thinking, no clear line differentiates more basic computer programs from AI.[28]
  87. There are many different fields of AI, including 'robotics', but one of the most commonly known forms is referred to as 'machine learning'.[28]
  88. The use of AI, however, could also be more insidious.[28]
  89. In the present entry, the history of AI is briefly recounted, proposed definitions of the field are discussed, and an overview of the field is provided.[29]
  90. In addition, both philosophical AI (AI pursued as and out of philosophy) and philosophy of AI are discussed, via examples of both.[29]
  91. The field of artificial intelligence (AI) officially started in 1956, launched by a small but now-famous DARPA-sponsored summer conference at Dartmouth College, in Hanover, New Hampshire.[29]
  92. Later, we shall discuss the role that TT has played, and indeed continues to play, in attempts to define AI.[29]
  93. Artificial intelligence ( AI ) has become an area of strategic importance and a key driver of economic development.[30]
  94. The Commission is increasing its annual investments in AI by 70% under the research and innovation programme Horizon 2020.[30]
  95. On 19 February 2020, the European Commission published a White Paper aiming to foster a European ecosystem of excellence and trust in AI and a Report on the safety and liability aspects of AI.[30]
  96. The European AI strategy and the coordinated plan put forward trust as a prerequisite to ensure a human-centric approach to AI .[30]
  97. The Graduate School of AI (GSAI) at Korea Advanced Institute of Science and Technology (KAIST) launched Korea’s first MS and PhD program in Artificial Intelligence in 2019.[31]
  98. Roland Busch, Siemens AG Chief Technology Officer, explains why there is no question that the ascendancy of AI will further change the world of work.[32]
  99. Our prepackaged solutions can help you integrate AI into your products and enjoy the resulting revenue and efficiency gains.[33]
  100. When I started writing about science decades ago, artificial intelligence seemed ascendant.[34]
  101. IEEE Spectrum, the technology magazine for which I worked, produced a special issue on how AI would transform the world.[34]
  102. Not long afterward, the exuberance gave way to a slump known as an “AI winter,” when disillusionment set in and funding declined.[34]
  103. AI had not lived up to expectations, he acknowledged.[34]
  104. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods.[35]
  105. The new White House report on artificial intelligence takes an appropriately skeptical view of that dream.[36]
  106. The report focuses on what might be called mainstream AI tools: machine learning and deep learning.[36]
  107. In a seminal paper, AI researcher Rodney Brooks argued that we should only build machines like this.[36]
  108. These methods do improve the ability of AI systems to play specific games better, but they can’t be easily changed or applied to other situations.[36]
  109. Artificial intelligence is getting smarter by leaps and bounds — within this century, research suggests, a computer AI could be as "smart" as a human being.[37]
  110. Following the information explosion brought by the diffusion of Internet, social networks, cloud computing, and big-data platforms, Artificial Intelligence in Medicine has broadened its perspective.[38]
  111. Artificial Intelligence in Medicine features the following kinds of papers:are regularly published and included among regular issues.[38]
  112. Artificial Intelligence in Medicine special issues deal with current theoretical/methodological research or convincing applications related to AI in medicine.[38]
  113. Artificial Intelligence in Medicine does not publish conference volumes or conference papers.[38]
  114. The coronavirus pandemic has accelerated the trend to automate business processes and the use of artificial intelligence (AI) to discover new data insights.[39]
  115. How AI is helping to drive business process optimisation Automating an inefficient process simply leads to a faster inefficient process.[39]
  116. Adding intelligence to business process automation AI is used to find hidden meaning in large datasets.[39]
  117. What if an AI system could truly understand an end-to-end business process.[39]
  118. Natural language processing (NLP) has taken great strides recently -- but how much does AI understand of what it reads?[40]
  119. New tech combines the core software needed to drive AI with image-capturing hardware - in one electronic chip.[40]
  120. Two challenges in the field of artificial intelligence have been solved by adopting a physical concept introduced a century ago to describe the formation of a magnet during a process of iron bulk ...[40]
  121. By the 1950s, we had a generation of scientists, mathematicians, and philosophers with the concept of artificial intelligence (or AI) culturally assimilated in their minds.[41]
  122. One such person was Alan Turing, a young British polymath who explored the mathematical possibility of artificial intelligence.[41]
  123. Despite this, everyone whole-heartedly aligned with the sentiment that AI was achievable.[41]
  124. Breaching the initial fog of AI revealed a mountain of obstacles.[41]

소스

  1. ↑ 1.0 1.1 1.2 artificial intelligence | Definition, Examples, and Applications
  2. ↑ 2.0 2.1 2.2 2.3 Association for the Advancement of Artificial Intelligence
  3. ↑ 3.0 3.1 3.2 Benefits & Risks of Artificial Intelligence
  4. ↑ 4.0 4.1 4.2 4.3 What is Artificial Intelligence? How Does AI Work?
  5. ↑ 5.0 5.1 5.2 5.3 What is artificial intelligence?
  6. ↑ 6.0 6.1 6.2 6.3 Artificial Intelligence (AI) Definition
  7. ↑ 7.0 7.1 7.2 7.3 3 Things AI Can Already Do for Your Company
  8. ↑ 8.0 8.1 8.2 8.3 Artificial intelligence
  9. ↑ 9.0 9.1 9.2 9.3 Artificial Intelligence for the American People
  10. ↑ 10.0 10.1 10.2 Artificial Intelligence – What it is and why it matters
  11. ↑ 11.0 11.1 11.2 11.3 Artificial Intelligence and the Future of Humans
  12. ↑ 12.0 12.1 12.2 12.3 What is Artificial Intelligence (AI)?
  13. ↑ 13.0 13.1 13.2 13.3 What is AI? Everything you need to know about Artificial Intelligence
  14. ↑ 14.0 14.1 14.2 14.3 What is Artificial Intelligence (AI)?
  15. ↑ WHAT IS ARTIFICIAL INTELLIGENCE?
  16. ↑ 16.0 16.1 16.2 16.3 A.I. Artificial Intelligence
  17. ↑ 17.0 17.1 17.2 17.3 Artificial intelligence
  18. ↑ Google AI
  19. ↑ Artificial Intelligence
  20. ↑ Organisation for Economic Co-operation and Development
  21. ↑ 21.0 21.1 21.2 21.3 Learn Artificial Intelligence with Online Courses and Lessons
  22. ↑ 22.0 22.1 22.2 22.3 Artificial Intelligence
  23. ↑ Artificial Intelligence
  24. ↑ 24.0 24.1 Artificial Intelligence and Intellectual Property
  25. ↑ What is artificial intelligence?
  26. ↑ 26.0 26.1 26.2 Artificial intelligence is evolving all by itself
  27. ↑ 27.0 27.1 27.2 27.3 What Is Artificial Intelligence
  28. ↑ 28.0 28.1 28.2 28.3 What Is Artificial Intelligence?
  29. ↑ 29.0 29.1 29.2 29.3 Artificial Intelligence (Stanford Encyclopedia of Philosophy)
  30. ↑ 30.0 30.1 30.2 30.3 Shaping Europe’s digital future
  31. ↑ KAIST AI
  32. ↑ Artificial Intelligence
  33. ↑ AI & Machine Learning Solutions
  34. ↑ 34.0 34.1 34.2 34.3 Will Artificial Intelligence Ever Live Up to Its Hype?
  35. ↑ A free online introduction to artificial intelligence for non-experts
  36. ↑ 36.0 36.1 36.2 36.3 Understanding the Four Types of Artificial Intelligence
  37. ↑ Artificial intelligence
  38. ↑ 38.0 38.1 38.2 38.3 Artificial Intelligence in Medicine
  39. ↑ 39.0 39.1 39.2 39.3 Top 10 artificial intelligence stories of 2020
  40. ↑ 40.0 40.1 40.2 Artificial Intelligence News
  41. ↑ 41.0 41.1 41.2 41.3 The History of Artificial Intelligence

메타데이터

위키데이터

Spacy 패턴 목록

  • [{'LOWER': 'artificial'}, {'LEMMA': 'intelligence'}]
  • [{'LEMMA': 'AI'}]
  • [{'LEMMA': 'MI'}]
  • [{'LOWER': 'cognitive'}, {'LEMMA': 'computing'}]
  • [{'LOWER': 'a.'}, {'LEMMA': 'I.'}]
  • [{'LEMMA': 'A.I.'}]
원본 주소 "https://wiki.mathnt.net/index.php?title=인공지능&oldid=51005"