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1

Dai, Peng, Mausam, and Daniel Weld. "Artificial Intelligence for Artificial Artificial Intelligence." Proceedings of the AAAI Conference on Artificial Intelligence 25, no. 1 (2011): 1153–60. http://dx.doi.org/10.1609/aaai.v25i1.8096.

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Crowdsourcing platforms such as Amazon Mechanical Turk have become popular for a wide variety of human intelligence tasks; however, quality control continues to be a significant challenge. Recently, we propose TurKontrol, a theoretical model based on POMDPs to optimize iterative, crowd-sourced workflows. However, they neither describe how to learn the model parameters, nor show its effectiveness in a real crowd-sourced setting. Learning is challenging due to the scale of the model and noisy data: there are hundreds of thousands of workers with high-variance abilities. This paper presents an en
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2

Ahmad, Zubair. "Artificial Intelligence or Augmented Intelligence?" International Journal of Science and Research (IJSR) 12, no. 12 (2023): 1782–88. http://dx.doi.org/10.21275/sr231212220052.

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3

Kambur, Emine. "Emotional Intelligence or Artificial Intelligence?: Emotional Artificial Intelligence." Florya Chronicles of Political Economy 7, no. 2 (2015): 147–68. http://dx.doi.org/10.17932/iau.fcpe.2015.010/fcpe_v07i2004.

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4

Floridi, Luciano. "Artificial artificial intelligence." Philosophers' Magazine, no. 64 (2014): 22–23. http://dx.doi.org/10.5840/tpm2014647.

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5

Kishorekumar, Mr A., Mr E. Ezhilarasan, and Mr R. Parthiban. "Intelligent Drone based Personal Assistant using Artificial Intelligence AI." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 1618–21. http://dx.doi.org/10.31142/ijtsrd11482.

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6

VASYLKIVSKYI, Mikola, Ganna VARGATYUK, and Olga BOLDYREVA. "INTELLIGENT RADIO INTERFACE WITH THE SUPPORT OF ARTIFICIAL INTELLIGENCE." Herald of Khmelnytskyi National University. Technical sciences 217, no. 1 (2023): 26–32. http://dx.doi.org/10.31891/2307-5732-2023-317-1-26-32.

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The peculiarities of the implementation of the 6G intelligent radio interface infrastructure, which will use an individual configuration for each individual subscriber application and flexible services with lower overhead costs, have been studied. A personalized infrastructure consisting of an AI-enabled intelligent physical layer, an intelligent MAC controller, and an intelligent protocol is considered, followed by a potentially novel AI-based end-to-end (E2E) device. The intelligent controller is investigated, in particular the intelligent functions at the MAC level, which may become key com
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7

Eugene Oko, Idam, Iroh Chioma U., Onuohah Frank Lotanna, and Onyeonwu Chekwube Chukwunwendu. "Intelligent Cybershield: Developing Artificial Intelligence For Secure Internet Banking." International Journal of Research Publication and Reviews 6, no. 5 (2025): 3929–43. https://doi.org/10.55248/gengpi.6.0525.1721.

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8

Youm, Jung-seop. "Commercialization of Artificial Intelligence and Artificial Intelligence." Journal of Korean Association for Buddhist Studies 85 (March 31, 2018): 65–94. http://dx.doi.org/10.22255/jkabs.85.3.

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9

Parikh, Purvish M. "Artificial Intelligence: ChatGPT to Artificial Intelligence Washing." Journal of Mahatma Gandhi University of Medical Sciences and Technology 8, no. 1 (2024): 1–4. http://dx.doi.org/10.5005/jp-journals-10057-0231.

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10

Johnson, Jeffrey, Peter Denning, Andrew Odlyzko, et al. "Artificial Intelligence: Foundational Technologies of Artificial Intelligence." Ubiquity 2025, July (2025): 1–10. https://doi.org/10.1145/3747355.

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More than the 70 years since its emergence in the early 1950s, artificial intelligence (AI) is performing cognitive tasks traditionally considered the unique province of humans. This progress did not occur in a vacuum. AI emerged against a rich background of technologies from computer science and ideas about intelligence and learning from philosophy, psychology, logic, game theory, and cognitive science. We sketch out the enabling technologies for AI. They include search, reasoning, neural networks, natural language processing, signal processing and computer graphics, programming and conventio
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11

Kaushal, Shilpa, Shivam Kumar, and Sayed Tabrez. "Artificial Intelligence in Agriculture." International Journal of Science and Research (IJSR) 11, no. 5 (2022): 1682–88. http://dx.doi.org/10.21275/sr22524180634.

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12

Singhal, Ankur, and Komal Gupta. "Artificial Intelligence: Transforming Ayurveda." Indian Journal of Ancient Medicine and Yoga 15, no. 4 (2022): 151–58. http://dx.doi.org/10.21088/ijamy.0974.6986.15422.3.

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As we know technology is at its boom in 21st century and it has touched our every aspect of life including The Ayurveda: ‘The science of life’. So for upgrading this ancient and 5000 yrs old system of medicine there must be full fledged inclusion of technology that allows computers and machines to function in an intelligent manner. This change with the help of technology is called as Artificial intelligence. It is the simulation of human intelligence processes by machines, especially computer systems. By adopting and adapting this digital world in the field of Ayurveda we can create a revoluti
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13

Senthil Kumar, R. "Artificial Intelligence in Education." International Journal of Science and Research (IJSR) 12, no. 8 (2023): 424–25. http://dx.doi.org/10.21275/sr23802113939.

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14

Das, Subhashis. "Artificial Intelligence in Diagnosis." JOURNAL OF CLINICAL AND BIOMEDICAL SCIENCES 13, no. 4 (2023): 100–101. http://dx.doi.org/10.58739/jcbs/v13i4.editorial.

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15

Bernatzeder, Petra. "Artificial Intelligence ... »mental intelligence«." Digitale Welt 4, no. 1 (2019): 15. http://dx.doi.org/10.1007/s42354-019-0224-5.

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16

DELIO, ILIA. "IS ARTIFICIAL INTELLIGENCE “ARTIFICIAL”?" Researcher. European Journal of Humanities & Social Science 3, no. 2 (2020): 13–32. http://dx.doi.org/10.32777/r.2020.3.2.1.

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17

Ekram Yawar, Mohammad, and Abdul Jamil Sharıfy. "Exploring Rational Reflections in Artificial Intelligence." EuroGlobal Journal of Linguistics and Language Education 2, no. 2 (2025): 4–31. https://doi.org/10.69760/egjlle.2500011.

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Artificial intelligence is a design of a reality that is based on the foundation of natural intelligence. This intelligence takes on the role that intelligent agents have determined. That is, agents play a fundamental role in creating and implementing intelligence, and if agents are not, the autonomy of artificial intelligence is a deceptive joke. Artificial intelligence is a simulated foundation of real intelligence and is as powerful as natural intelligence. This intelligence is compatible with natural intelligence, and on the other hand, if no measures are taken, it will itself be considere
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18

Valor, Josep. "Un-Artificial Intelligence." IESE Insight, no. 28 (March 15, 2016): 72. http://dx.doi.org/10.15581/002.opi-3584.

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19

Singh, Sarbjeet, and Sukhvinder Singh. "Artificial Intelligence." International Journal of Computer Applications 6, no. 6 (2010): 21–23. http://dx.doi.org/10.5120/1081-1413.

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20

Meij, Jan Martijn. "Artificial Intelligence." Nature and Culture 15, no. 3 (2020): 318–28. http://dx.doi.org/10.3167/nc.2020.150305.

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21

Hou, Jean, and Cynthia C. Nast. "Artificial Intelligence." Clinical Journal of the American Society of Nephrology 15, no. 10 (2020): 1389–91. http://dx.doi.org/10.2215/cjn.13450820.

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22

Marinchak, Christina McDowell, Edward Forrest, and Bogdan Hoanca. "Artificial Intelligence." International Journal of E-Entrepreneurship and Innovation 8, no. 2 (2018): 14–24. http://dx.doi.org/10.4018/ijeei.2018070102.

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As marketers and consumers simultaneously adopt artificial intelligence (AI) services and applications, the dynamic of the process of exchange between the buyer and seller in the marketplace is being fundamentally altered. This article reviews the emerging patterns of adoption and rates of diffusion of AI applications by both marketers and consumers. On the marketers' side the authors will address the single most defining phenomenon that is affecting the marketer's role and function in the marketing process: the exponential increase in the number, variety and capability of marketing applicatio
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23

Smith, Adam Leon. "Artificial Intelligence." ITNOW 64, no. 3 (2022): 47. http://dx.doi.org/10.1093/combul/bwac093.

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24

Smith, Adam Leon. "Artificial Intelligence." ITNOW 64, no. 2 (2022): 65. http://dx.doi.org/10.1093/itnow/bwac065.

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25

Bali, Jatinder, and Shivam Nayak. "Artificial Intelligence." Journal of Clinical Ophthalmology and Research 8, no. 1 (2020): 1. http://dx.doi.org/10.4103/jcor.jcor_18_20.

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26

Daisy, Anjali. "Artificial Intelligence." International Journal of Social Ecology and Sustainable Development 13, no. 1 (2022): 1–9. http://dx.doi.org/10.4018/ijsesd.292075.

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Artificial Intelligence (AI) is gradually changing the practice of surgery with the advanced technological development of imaging, navigation, and robotic intervention. In this article, the recent successful and influential applications of AI in surgery are reviewed from pre-operative planning and intra-operative guidance to the integration of surgical robots. It ends with summarizing the current state, emerging trends, and major challenges in the future development of AI in surgery. Robotic surgery is the use of computer technologies working in conjunction with robot systems to perform medica
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27

Carroll, Whende M. "Artificial intelligence." Nursing Management 52, no. 11 (2021): 29–32. http://dx.doi.org/10.1097/01.numa.0000795584.59335.f7.

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28

Matveev, V. I. "ARTIFICIAL INTELLIGENCE." Kontrol'. Diagnostika, no. 275 (May 2021): 56–63. http://dx.doi.org/10.14489/td.2021.05.pp.056-063.

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Artificial intelligence is becoming the main direction of the development of science and technology, making progress at a new level. Automation of production, the implementation of operations in hazardous and harmful areas, the implementation of routine actions in the environment are inevitable in the modern world. A person creates an analogue for himself, realizing the possible consequences and limiting them to legislative acts. The article provides positive examples of the implementation of the artificial intelligence project and legislative measures that limit its impact on the social envir
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29

Commissariat, Tushna. "Artificial intelligence." Physics World 34, no. 5 (2021): 17. http://dx.doi.org/10.1088/2058-7058/34/05/24.

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30

Smith, Adam Leon. "Artificial Intelligence." ITNOW 64, no. 1 (2022): 41. http://dx.doi.org/10.1093/itnow/bwac021.

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31

Stephens, C. D. "Artificial intelligence." British Dental Journal 180, no. 8 (1996): 284. http://dx.doi.org/10.1038/sj.bdj.4809057.

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32

Gitomer, Jerry. "Artificial Intelligence." Journal of Information Systems Management 3, no. 1 (1986): 58–60. http://dx.doi.org/10.1080/07399018608965231.

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33

Gil, Yolanda. "Artificial intelligence." AI Matters 1, no. 1 (2014): 4–5. http://dx.doi.org/10.1145/2639475.2639477.

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34

Hillman, Donald J. "Artificial Intelligence." Human Factors: The Journal of the Human Factors and Ergonomics Society 27, no. 1 (1985): 21–31. http://dx.doi.org/10.1177/001872088502700103.

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35

Wetzel, Randall C., Melissa Aczon, and David R. Ledbetter. "Artificial Intelligence." Pediatric Critical Care Medicine 19, no. 10 (2018): 1004–5. http://dx.doi.org/10.1097/pcc.0000000000001700.

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36

Kamaleswaran, Rishikesan, Oguz Akbilgic, Madhura A. Hallman, Alina N. West, Robert L. Davis, and Samir H. Shah. "Artificial Intelligence." Pediatric Critical Care Medicine 20, no. 4 (2019): 399. http://dx.doi.org/10.1097/pcc.0000000000001874.

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37

Sadiku, M. N. O. "Artificial intelligence." IEEE Potentials 8, no. 2 (1989): 35–39. http://dx.doi.org/10.1109/45.31596.

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38

Butterfield, William H. "Artificial Intelligence." Computers in Human Services 3, no. 1-2 (1988): 23–35. http://dx.doi.org/10.1300/j407v03n01_03.

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39

Fluke, John D., and Gregory N. O'Beirne. "Artificial Intelligence." Computers in Human Services 4, no. 1-2 (1989): 101–9. http://dx.doi.org/10.1300/j407v04n01_14.

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40

Scotti, Veronica. "Artificial intelligence." IEEE Instrumentation & Measurement Magazine 23, no. 3 (2020): 27–31. http://dx.doi.org/10.1109/mim.2020.9082795.

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41

CACM Staff. "Artificial intelligence." Communications of the ACM 60, no. 2 (2017): 10–11. http://dx.doi.org/10.1145/3034429.

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42

Weinstein, James N. "Artificial Intelligence." SPINE 44, no. 1 (2019): 1–4. http://dx.doi.org/10.1097/brs.0000000000002913.

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43

Hilton, Alexander D. "Artificial intelligence." AI Matters 5, no. 3 (2019): 70–76. http://dx.doi.org/10.1145/3362077.3362088.

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44

Raj, Anish. "Artificial Intelligence." International Journal for Research in Applied Science and Engineering Technology 12, no. 11 (2024): 646–55. http://dx.doi.org/10.22214/ijraset.2024.64695.

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Artificial intelligence is a science that aims to perform tasks that require human intelligence. For the past two years, it has been used as a development tool in many areas such as prediction, health, security, and also improves the performance of production and services. Since artificial intelligence and its operations are based on too much data, algorithms, and scientific data, users cannot understand and comprehend the content and do not have the skills necessary to use this technology. Since artificial intelligence is controlled by machines and algorithms, it is difficult to determine the
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45

Pontieri-Lewis, Vittoria (Vicky). "Artificial Intelligence." Journal of Wound, Ostomy & Continence Nursing 51, no. 6 (2024): 437. http://dx.doi.org/10.1097/won.0000000000001134.

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46

Muspratt, Murray A. "Artificial Intelligence." Journal of Professional Issues in Engineering 112, no. 3 (1986): 158–69. http://dx.doi.org/10.1061/(asce)1052-3928(1986)112:3(158).

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47

Clarke, John R., David P. Cebula, and Bonnie L. Vebber. "ARTIFICIAL INTELLIGENCE." Journal of Trauma: Injury, Infection, and Critical Care 27, no. 7 (1987): 818. http://dx.doi.org/10.1097/00005373-198707000-00035.

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48

McGrow, Kathleen. "Artificial intelligence." Nursing 49, no. 9 (2019): 46–49. http://dx.doi.org/10.1097/01.nurse.0000577716.57052.8d.

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49

LAWRENCE, DAVID R., CÉSAR PALACIOS-GONZÁLEZ, and JOHN HARRIS. "Artificial Intelligence." Cambridge Quarterly of Healthcare Ethics 25, no. 2 (2016): 250–61. http://dx.doi.org/10.1017/s0963180115000559.

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Abstract:It seems natural to think that the same prudential and ethical reasons for mutual respect and tolerance that one has vis-à-vis other human persons would hold toward newly encountered paradigmatic but nonhuman biological persons. One also tends to think that they would have similar reasons for treating we humans as creatures that count morally in our own right. This line of thought transcends biological boundaries—namely, with regard to artificially (super)intelligent persons—but is this a safe assumption? The issue concerns ultimate moral significance: the significance possessed by hu
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50

Sheikh, Ahmad Y., and James I. Fann. "Artificial Intelligence." Thoracic Surgery Clinics 29, no. 3 (2019): 339–50. http://dx.doi.org/10.1016/j.thorsurg.2019.03.011.

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