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  1. AAAI aims to promote research in, and responsible use of, artificial intelligence.[1]
  2. 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.[1]
  3. 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.[1]
  4. 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.[1]
  5. Few concepts are as poorly understood as artificial intelligence.[2]
  6. 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.[2]
  7. 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.[2]
  8. Each of the AI features has the potential to move civilization forward in progressive ways.[2]
  9. 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.[3]
  10. Artificial intelligence (AI) , the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.[3]
  11. Research in AI has focused chiefly on the following components of intelligence: learning, reasoning, problem solving, perception, and using language.[3]
  12. Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.[4]
  13. When most people hear the term artificial intelligence, the first thing they usually think of is robots.[4]
  14. As technology advances, previous benchmarks that defined artificial intelligence become outdated.[4]
  15. AI is continuously evolving to benefit many different industries.[4]
  16. On a lighter note, such articles are actually rather impressive, because they succinctly summarize the scenario that AI researchers don’t worry about.[5]
  17. 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.[5]
  18. 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.[5]
  19. At it's core, AI is the branch of computer science that aims to answer Turing's question in the affirmative.[6]
  20. The expansive goal of artificial intelligence has given rise to many questions and debates.[6]
  21. The major limitation in defining AI as simply "building machines that are intelligent" is that it doesn't actually explain what artificial intelligence is?[6]
  22. "AI is a computer system able to perform tasks that ordinarily require human intelligence...[6]
  23. Early AI research in the 1950s explored topics like problem solving and symbolic methods.[7]
  24. 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.[7]
  25. Instead, AI has evolved to provide many specific benefits in every industry.[7]
  26. 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.[8]
  27. A case in point are self-driving cars, which themselves are underpinned by AI-powered systems such as computer vision.[8]
  28. Pioneers in the field of modern AI research such as Geoffrey Hinton, Demis Hassabis and Yann LeCun say society is nowhere near developing AGI.[8]
  29. In 2012, another breakthrough heralded AI's potential to tackle a multitude of new tasks previously thought of as too complex for any machine.[8]
  30. A quip in Tesler's Theorem says "AI is whatever hasn't been done yet.[9]
  31. Approaches include statistical methods, computational intelligence, and traditional symbolic AI.[9]
  32. Many tools are used in AI, including versions of search and mathematical optimization, artificial neural networks, and methods based on statistics, probability and economics.[9]
  33. 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".[9]

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