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Artículos de revistas sobre el tema "Other Artificial Intelligence"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 21 de febrero de 2023

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1

VerWey, John. "The Other Artificial Intelligence Hardware Problem." Computer 55, no. 1 (January 2022): 34–42. http://dx.doi.org/10.1109/mc.2021.3113271.

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LAWRENCE, DAVID R., CÉSAR PALACIOS-GONZÁLEZ, and JOHN HARRIS. "Artificial Intelligence." Cambridge Quarterly of Healthcare Ethics 25, no. 2 (March 9, 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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3

Iliescu, Dragos, Samuel Greiff, Matthias Ziegler, and Marjolein Fokkema. "Artificial Intelligence, Machine Learning, and Other Demons." European Journal of Psychological Assessment 38, no. 3 (May 2022): 163–64. http://dx.doi.org/10.1027/1015-5759/a000713.

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4

Forghani, Reza. "Machine Learning and Other Artificial Intelligence Applications." Neuroimaging Clinics of North America 30, no. 4 (November 2020): i. http://dx.doi.org/10.1016/s1052-5149(20)30067-8.

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5

Takama, Yasufumi. "Web Intelligence and Artificial Intelligence." Journal of Advanced Computational Intelligence and Intelligent Informatics 21, no. 1 (January 20, 2017): 25–30. http://dx.doi.org/10.20965/jaciii.2017.p0025.

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This paper briefly summarizes the progress of artificial intelligence (AI) and web intelligence (WI) in the last two decades. The reason why we mention AI and WI together is because those have strong relationship with each other. This paper first summarizes the history of AI, and then gives brief description of supervised learning, which I think has played a major role in AI in the last two decades. As most history of WI is in the target decades, this paper first briefly describes major WI topics, and then gives more detailed description about information recommendation, which I think one of m

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6

Tasioulas, John. "Artificial Intelligence, Humanistic Ethics." Daedalus 151, no. 2 (2022): 232–43. http://dx.doi.org/10.1162/daed_a_01912.

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Abstract Ethics is concerned with what it is to live a flourishing life and what it is we morally owe to others. The optimizing mindset prevalent among computer scientists and economists, among other powerful actors, has led to an approach focused on maximizing the fulfilment of human preferences, an approach that has acquired considerable influence in the ethics of AI. But this preference-based utilitarianism is open to serious objections. This essay sketches an alternative, “humanistic” ethics for AI that is sensitive to aspects of human engagement with the ethical often missed by the domina

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7

A, Kasianenko, and Fedotov V. "Manifestation of artificial intelligence in human life." Artificial Intelligence 27, jai2022.27(1) (June 20, 2022): 183–92. http://dx.doi.org/10.15407/jai2022.01.183.

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Today, in many areas of science and social life, machines, or so-called robots, are entrusted with tasks that previously could only be performed by humans, and this is what led to the creation of artificial intelligence and further stimulates its development and improvement. Automated machines, which are endowed with artificial intelligence, are thus able to relieve a person from routine activities, in particular. Thus, systems based on artificial intelligence are increasingly used in technology, for example, cars endowed with artificial intelligence, or, for example, robots involved in produc

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8

Berrar, Daniel, Naoyuki Sato, and Alfons Schuster. "Quo Vadis, Artificial Intelligence?" Advances in Artificial Intelligence 2010 (February 24, 2010): 1–12. http://dx.doi.org/10.1155/2010/629869.

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Since its conception in the mid 1950s, artificial intelligence with its great ambition to understand and emulate intelligence in natural and artificial environments alike is now a truly multidisciplinary field that reaches out and is inspired by a great diversity of other fields. Rapid advances in research and technology in various fields have created environments into which artificial intelligence could embed itself naturally and comfortably. Neuroscience with its desire to understand nervous systems of biological organisms and systems biology with its longing to comprehend, holistically, the

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9

Bátfai, Norbert. "A játékok és a mesterséges intelligencia mint a kultúra jövője – egy kísérlet a szubjektivitás elméletének kialakítására." Információs Társadalom 18, no. 2 (July 31, 2018): 28. http://dx.doi.org/10.22503/inftars.xviii.2018.2.2.

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A cikk célja a mesterséges intelligencia kutatásokat az emberi önmegismerés szolgálatába állítani. Ehhez egyrészt filozófiai hátteret biztosítani, másrészt a mesterséges intelligencia társadalmi elfogadottságát megalapozni. Tézisünk, hogy az emberi kultúra fenntartásához és fejlesztéséhez a játékokon és a mesterséges intelligencián keresztül vezet az út. E tézis alátámasztásnak támogatására kísérletet teszünk a szubjektivitás elméletének megalapozására.  ---  Games and artificial intelligence as the future of culture: an attempt to develop a theory of subjectivity

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10

Beenish Zahra. "ARTIFICIAL INTELLIGENCE AND CYC." Lahore Garrison University Research Journal of Computer Science and Information Technology 1, no. 4 (December 29, 2017): 29–36. http://dx.doi.org/10.54692/lgurjcsit.2017.010412.

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Since 1984, it is enormous work going on for the accomplishing of the project Cyc (‗Saik‘). This work is based on knowledge of ―Artificial Intelligence‖ which is developed by the Cycorpcompany and by Douglas Lenat at MCC. It‘s a Microelectronics and Computer Technology Corporation (MCC) part for so long. The dominant aim of Cycorp to develop this system is to just clarify anything in semantical determination rather than syntactically determination of words commands by the machine in which Cyc is installed to do some job. The other objective was in the building of Cyc is to codify, in a form wh

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11

Emin Taleh Mammadov, Emin, Hasan Panach Imanli, and Elcin Nizami Huseyn. "ARTIFICIAL INTELLIGENCE PRACTICES IN THE HEALTH SECTOR." NATURE AND SCIENCE 04, no. 05 (December 28, 2020): 21–29. http://dx.doi.org/10.36719/2707-1146/05/21-29.

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Artificial intelligence is a technology developed to make machines think like humans. Aristotle's historical artificial intelligence entered the health sector in the 1970s. The first application for artificial intelligence in the internist-1 field in health care, the Casnet expert system, and MYCIN. This technology was later introduced to many areas of health care. The main purpose of this application is for the benefit of doctors and patients. In general, applications, medical decisions, early diagnosis and treatment, drug development, and medical imaging issues deserve attention. Another imp

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12

Lee, Jae Moon, In Hwan Jung, and Kitae Hwang. "Classification of Beef by Using Artificial Intelligence." Webology 19, no. 1 (January 20, 2022): 4639–47. http://dx.doi.org/10.14704/web/v19i1/web19308.

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This paper aims to develop an application that classifies the quality of beef via Artificial Intelligence technology, which has experienced rapid technological growth in recent years. The application will allow users to obtain information including, but not limited to, cuts of beef, freshness, and marbling of the beef they are about to purchase. Deep learning image classification was used to classify the cuts of beef, and OpenCV technology was used to determine the freshness and marbling of the beef. The application was developed in a client-server system for real-time action. The mobile phone

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13

Jeste, Dilip V., Sarah A. Graham, Tanya T. Nguyen, Colin A. Depp, Ellen E. Lee, and Ho-Cheol Kim. "Beyond artificial intelligence: exploring artificial wisdom." International Psychogeriatrics 32, no. 8 (June 25, 2020): 993–1001. http://dx.doi.org/10.1017/s1041610220000927.

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ABSTRACTBackground:The ultimate goal of artificial intelligence (AI) is to develop technologies that are best able to serve humanity. This will require advancements that go beyond the basic components of general intelligence. The term “intelligence” does not best represent the technological needs of advancing society, because it is “wisdom”, rather than intelligence, that is associated with greater well-being, happiness, health, and perhaps even longevity of the individual and the society. Thus, the future need in technology is for artificial wisdom (AW).Methods:We examine the constructs of hu

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14

Reddy, Sandeep. "Artificial intelligence and healthcare—why they need each other?" Journal of Hospital Management and Health Policy 5 (March 2020): 9. http://dx.doi.org/10.21037/jhmhp-2020-ai-03.

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15

Balmer, Roberto E., Stanford L. Levin, and Stephen Schmidt. "Artificial Intelligence Applications in Telecommunications and other network industries." Telecommunications Policy 44, no. 6 (July 2020): 101977. http://dx.doi.org/10.1016/j.telpol.2020.101977.

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16

Rehm, M. Casey. "Other Experts: Disciplinary and Aesthetic Impacts of Artificial Intelligence." Architectural Design 90, no. 5 (September 2020): 14–21. http://dx.doi.org/10.1002/ad.2606.

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17

Wang, Pei. "On Defining Artificial Intelligence." Journal of Artificial General Intelligence 10, no. 2 (January 1, 2019): 1–37. http://dx.doi.org/10.2478/jagi-2019-0002.

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Abstract This article systematically analyzes the problem of defining “artificial intelligence.” It starts by pointing out that a definition influences the path of the research, then establishes four criteria of a good working definition of a notion: being similar to its common usage, drawing a sharp boundary, leading to fruitful research, and as simple as possible. According to these criteria, the representative definitions in the field are analyzed. A new definition is proposed, according to it intelligence means “adaptation with insufficient knowledge and resources.” The implications of thi

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18

Devedzic, Vladan. "Is this artificial intelligence?" Facta universitatis - series: Electronics and Energetics 33, no. 4 (2020): 499–529. http://dx.doi.org/10.2298/fuee2004499d.

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Artificial Intelligence (AI) has become one of the most frequently used terms in the technical jargon (and often in not-so-technical jargon). Recent advancements in the field of AI have certainly contributed to the AI hype, and so have numerous applications and results of using AI technology in practice. Still, just like with any other hype, the AI hype has its controversies. This paper critically examines developments in the field of AI from multiple perspectives - research, technological, social and pragmatic. Part of the controversies of the AI hype stem from the fact that people use the te

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19

Faber, Jorge, Carolina Faber, and Pedro Faber. "Artificial intelligence in orthodontics." APOS Trends in Orthodontics 9 (December 31, 2019): 201–5. http://dx.doi.org/10.25259/apos_123_2019.

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This article aims to discuss how AI with its powerful pattern finding and prediction algorithms are helping orthodontics. Much remains to be done to help patients and clinicians make better treatment decisions. AI is an excellent tool to help orthodontists to choose the best way to move teeth with aligners to preset positions. On the other hand, AI today completely ignores the existence of oral diseases, does not fully integrate facial analysis in its algorithms, and is unable to consider the impact of functional problems in treatments. AI do increase sensitivity and specificity in imaging dia

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20

STEFANOV, S. Z. "DAILY ARTIFICIAL DISPATCHER – THE OTHER HEAD." New Mathematics and Natural Computation 06, no. 03 (November 2010): 275–83. http://dx.doi.org/10.1142/s179300571000175x.

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The paper suggests Daily Artificial Dispatcher (DAD), as an ambient intelligence that solves the problem for automatic predictive analysis of electric power system (EPS) security and efficiency, using EPS and weather summarized data. DAD is constructed as heading EPS, implementing common sense thinking a day ahead for EPS. DAD is verified, as it is shown that it is an intentional agent, a robot, and an intelligent system. DAD is validated, as it is shown that it is an EPS adequate security and efficiency computation.

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21

Mihret, Estifanos Tilahun. "Robotics and Artificial Intelligence." International Journal of Artificial Intelligence and Machine Learning 10, no. 2 (July 2020): 57–78. http://dx.doi.org/10.4018/ijaiml.2020070104.

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Artificial intelligence and robotics are very recent technologies and risks for our world. They are developing their capacity dramatically and shifting their origins of developing intention to other dimensions. When humans see the past histories of AI and robotics, human beings can examine and understand the objectives and intentions of them which to make life easy and assist human beings within different circumstances and situations. However, currently and in the near future, due to changing the attitude of robotic and AI inventors and experts as well as based on the AI nature that their capa

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22

Akintol, Sarah A. "Optimization of Drilling Cost Using Artificial Intelligence." Petroleum & Petrochemical Engineering Journal 5, no. 4 (2021): 1–8. http://dx.doi.org/10.23880/ppej-16000285.

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Drilling operations in the oil and gas industry takes most of the well cost and how fast the drilling bit penetrate and bore the formation is termed the Rate of penetration (ROP). Since most of the cost incurred during drilling is related to the drilling operations, there is need not only to drill carefully, but also to optimize the drilling process. A lot of parameters are related to the rate of penetration which are actually interdependent on each other. This makes it difficult to predict the influence of every single parameter Drilling optimization techniques have been used recently to redu

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23

Kabanda, Gabriel. "Performance of Machine Learning and other Artificial Intelligence paradigms in Cybersecurity." Oriental journal of computer science and technology 13, no. 1 (May 29, 2020): 1–21. http://dx.doi.org/10.13005/ojcst13.01.01.

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Cybersecurity systems are required at the application, network, host, and data levels. The research is purposed to evaluate Artificial Intelligence paradigms for use in network detection and prevention systems. This is purposed to develop a Cybersecurity system that uses artificial intelligence paradigms and can handle a high degree of complexity. The Pragmatism paradigm is elaborately associated with the Mixed Method Research (MMR), and is the research philosophy used in this research. Pragmatism recognizes the full rationale of the congruence between knowledge and action. The Pragmatic parad

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24

Padmanabhan, Sandosh, Tran Quoc Bao Tran, and Anna F. Dominiczak. "Artificial Intelligence in Hypertension." Circulation Research 128, no. 7 (April 2, 2021): 1100–1118. http://dx.doi.org/10.1161/circresaha.121.318106.

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Hypertension remains the largest modifiable cause of mortality worldwide despite the availability of effective medications and sustained research efforts over the past 100 years. Hypertension requires transformative solutions that can help reduce the global burden of the disease. Artificial intelligence and machine learning, which have made a substantial impact on our everyday lives over the last decade may be the route to this transformation. However, artificial intelligence in health care is still in its nascent stages and realizing its potential requires numerous challenges to be overcome.

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25

Karmaza, Oleksandra O., Sergii O. Koroied, Vitalii M. Makhinchuk, Valentyna Yu Strilko, and Solomiia T. Iosypenko. "Artificial intelligence in justice." Linguistics and Culture Review 5, S4 (November 24, 2021): 1413–25. http://dx.doi.org/10.21744/lingcure.v5ns4.1764.

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The relevance of this study is condition upon the necessity of an in-depth investigation of the phenomenon of artificial intelligence, including its use in the judicial system of various legal states and its impact on the entire judicial system of the state. In this regard, the present paper aims to cover the main definitions of the concept of artificial intelligence, its origins, characteristics, grounds for application, as well as direct interaction and influence on the implementation of the main tasks of justice through the use and development of artificial intelligence in the judicial proc

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Miranda, Eduardo R., and Duncan Williams. "Artificial Intelligence inOrganised Sound." Organised Sound 20, no. 1 (March 5, 2015): 76–81. http://dx.doi.org/10.1017/s1355771814000454.

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Artificial Intelligence is a rich and still-developing field with a number of musical applications. This paper surveys the use of Artificial Intelligence in music in the pages ofOrganised Sound, from the first issue to the latest, at the time of writing. Traditionally, Artificial Intelligence systems for music have been designed with note-based composition in mind, but the research we present here finds that Artificial Intelligence has also had a significant impact in electroacoustic music, with contributions in the fields of sound analysis, real-time sonic interaction and interactive performa

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27

Guthro, Clem. "Artificial Unintelligence: How Computers Misunderstand the World by Meridith Broussard." Journal of Intellectual Freedom & Privacy 3, no. 2-3 (January 15, 2019): 13. http://dx.doi.org/10.5860/jifp.v3i2-3.6776.

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Broussard, an assistant professor at New York University’s Arthur L Carter Journalism Institute, has written an accessible book on Artificial Intelligence’s (AI) grip on people’s imagination. In twelve short chapters, she lays out a cautionary narrative on the limits of AI and technology in general. Her book joins several other recent volumes that attempt to show the limits of AI and the ethical implications of wholesale and blind adoption of AI to solve the world’s problems. These include M. Tegmark. Life 3.0: Being Human in the Age of Artificial Intelligence, 2018; J. Aoun. Robot-Proof: High

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Sharma, Anupam, and Jasleen Kaur. "Artificial Intelligence Based System." Information Resources Management Journal 34, no. 2 (April 2021): 80–90. http://dx.doi.org/10.4018/irmj.2021040105.

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The field of artificial intelligence (AI) has evolved considerably in the last 60 years. While there are now many AI applications that have been deployed in high-income country contexts, use of AI in resource-poor settings remains relatively nascent. With a few notable exceptions, there are limited examples of AI being used in such settings. However, there are signs that this is changing. Several high-profile meetings have been convened in recent years to discuss the development and deployment of AI applications to reduce poverty and deliver a broad range of critical public services. The autho

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29

Hann, Alexander, and Alexander Meining. "Artificial Intelligence in Endoscopy." Visceral Medicine 37, no. 6 (2021): 471–75. http://dx.doi.org/10.1159/000519407.

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<b><i>Background:</i></b> Owing to their rapid development, artificial intelligence (AI) technologies offer a great promise for gastroenterology practice and research. At present, AI-guided image interpretation has already been used with success for endoscopic detection of early malignant lesions. Nonetheless, there are complex challenges and possible shortcomings that must be considered before full implementation can be realized. <b><i>Summary:</i></b> In this review, the current status of AI in endoscopy is summarized. Future perspectives and o

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30

Ekler, Péter, and Dániel Pásztor. "Alkalmazott mesterséges intelligencia felhasználási területei és biztonsági kérdései – Mesterséges intelligencia a gyakorlatban." Scientia et Securitas 1, no. 1 (December 17, 2020): 35–42. http://dx.doi.org/10.1556/112.2020.00006.

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Összefoglalás. A mesterséges intelligencia az elmúlt években hatalmas fejlődésen ment keresztül, melynek köszönhetően ma már rengeteg különböző szakterületen megtalálható valamilyen formában, rengeteg kutatás szerves részévé vált. Ez leginkább az egyre inkább fejlődő tanulóalgoritmusoknak, illetve a Big Data környezetnek köszönhető, mely óriási mennyiségű tanítóadatot képes szolgáltatni. A cikk célja, hogy összefoglalja a technológia jelenlegi állapotát. Ismertetésre kerül a mesterséges intelligencia történelme, az alkalmazási területek egy nagyobb része, melyek központi eleme a mesterséges in

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31

Schneider, Howard. "Navigation Map-Based Artificial Intelligence." AI 3, no. 2 (May 12, 2022): 434–64. http://dx.doi.org/10.3390/ai3020026.

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A biologically inspired cognitive architecture is described which uses navigation maps (i.e., spatial locations of objects) as its main data elements. The navigation maps are also used to represent higher-level concepts as well as to direct operations to perform on other navigation maps. Incoming sensory information is mapped to local sensory navigation maps which then are in turn matched with the closest multisensory maps, and then mapped onto a best-matched multisensory navigation map. Enhancements of the biologically inspired feedback pathways allow the intermediate results of operations pe

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Makhamatov, T. M. "Philosophy of Artificial Intelligence." Humanities and Social Sciences. Bulletin of the Financial University 9, no. 4 (December 4, 2019): 52–56. http://dx.doi.org/10.26794/2226-7867-2019-9-4-52-56.

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In the article, the author substantiates the thesis that the development of artificial intelligence technology is closely related not only to discoveries in the field of natural science, anthropology and medicine, but also achievements in the field of philosophy of knowledge and cognitive sciences. The author conducted a philosophico-epistemological analysis of the problems of improving the neural network as the core of modern artificial intelligence led to the conclusion that the principles of functioning of the neural network corresponding to such principles of the cognitive process discover

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Dzyaloshinsky, I. M. "Artificial Intelligence: A Humanitarian Perspective." Vestnik NSU. Series: History and Philology 21, no. 6 (June 17, 2022): 20–29. http://dx.doi.org/10.25205/1818-7919-2022-21-6-20-29.

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The article is devoted to the study of the features of human intelligence and the intelligence of complex computer systems, usually referred to as artificial intelligence (AI). As a hypothesis, a statement was formulated about a significant difference between human and artificial intelligence. Human intelligence is a product of a multi-thousand-year history of the development and interaction of three interrelated processes: 1) the formation and development of the human personality; 2) the formation of complex network relationships between members of the social community; 3) collective activity

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Patel, Kunal Girdhar, and Mittal Sanjay Patil. "Artificial Intelligence in Agriculture." International Journal for Research in Applied Science and Engineering Technology 10, no. 2 (February 28, 2022): 624–27. http://dx.doi.org/10.22214/ijraset.2022.40308.

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Abstract: Agriculture Sector plays important role in economic sector. The artificial intelligence is main concern and the emerging subject all across world. And population increasing day by day and with the increasing demand employment and food is also increasing. Our traditional method which was used by the farmer were not sufficient enough to fulfill the requirements. Consequently, synthetic intelligence technique is added. This method supplied meals requirement and employment possibilities to many people. Artificial Intelligence in agriculture has added associate agriculture revolution. Thi

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Tudorache, Paul. "Applicability of Artificial Intelligence in Decision-Making for Land Forces." Vojenské rozhledy 30, no. 2 (June 8, 2021): 039–54. http://dx.doi.org/10.3849/2336-2995.30.2021.02.039-054.

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Similar to other fields, also in the military one, the Artificial Intelligence has become recently an evident solution for optimizing specific processes and activities. Therefore, this research paper aims to highlight the potential uses of Artificial Intelligence in the military operations carried out by the Land Forces. In this regard, analysing the framework of the operations process and applying suitable research methodology, the main findings are related to AI’s contributions in optimizing commander’s decisions during the progress of planning and execution. On the other hand, picturing the

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36

Liu, Ziheng. "The Evolution of Artificial Intelligence and its Collaboration with Brain Science." Highlights in Science, Engineering and Technology 1 (June 14, 2022): 31–39. http://dx.doi.org/10.54097/hset.v1i.424.

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The emergence of artificial intelligence is the product of the development of science and technology. At the same time, the development of science and technology has greatly improved the ability of the human brain and artificial intelligence. For example, scientists choose to train artificial intelligence with video games and improve the flexibility of the human brain. One example of artificial intelligence’s success and its rapid development is AlphaGo. Go has long been recognized as one of the most difficult games in the world, and it seems surprising that artificial intelligence could easil

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Ahmad, S. Rehan. "Artificial Intelligence: Use in Clinical and Genomic Diagnostics." Emerging Trends in Nutraceuticals 1, no. 2 (August 28, 2022): 42–50. http://dx.doi.org/10.18782/2583-4606.111.

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The development of computer systems that are capable of carrying out tasks that typically require human intelligence is known as artificial intelligence (AI). Recent and quickly rising interest in medical AI applications is a result of AI software and technology improvements, especially deep learning algorithms and the graphics processing units (GPUs) that enable their training. While other AI subtypes have started to show similar promise in different diagnostic modalities, AI-based computer vision methods are poised to change image-based diagnostics in clinical diagnostics. Large and complica

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38

Rab, Suzanne. "Artificial intelligence, algorithms and antitrust." Competition Law Journal 18, no. 4 (January 29, 2020): 141–50. http://dx.doi.org/10.4337/clj.2019.04.02.

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The field of artificial intelligence or ‘AI’ has been reshaping virtually every industry built on the idea that machines could be used to simulate human intelligence through so-called ‘machine learning’. Antitrust interest in this topic has been generated among regulators, policy-makers, academics and business in the EU and internationally. This article explores the extent to which AI may raise competition or other concerns for consumer welfare and whether existing legal and policy instruments are appropriate to deal with the emerging opportunities and challenges.

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Kim, Jae-Woong. "Artificial intelligence, conversation with a parasitic other self -The survival method of stem (artificial intelligence) in the movie〈Upgrade〉-." Cartoon and Animation Studies 66 (March 31, 2022): 333–64. http://dx.doi.org/10.7230/koscas.2022.66.333.

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Attanasio, Simona, Sara Maria Forte, Giuliana Restante, Michela Gabelloni, Giuseppe Guglielmi, and Emanuele Neri. "Artificial intelligence, radiomics and other horizons in body composition assessment." Quantitative Imaging in Medicine and Surgery 10, no. 8 (August 2020): 1650–60. http://dx.doi.org/10.21037/qims.2020.03.10.

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Prylypko, Daryna. "Artificial intelligence and copyright." Theory and Practice of Intellectual Property, no. 2 (July 6, 2021): 15–22. http://dx.doi.org/10.33731/22021.236526.

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Key words: copyright, work, artificial intelligence, computer program In the article, the problemsof legislation of Ukraine regarding the issues of copyright on works created due to artificialintelligence were analyzed. Particularly, who is the owner of copyright ofworks created due to artificial intelligence. On the one hand, it could be a developer ofa computer program, from the other hand, it could be a client or an employer. Because,it could happen that there is a situation when robots created something newand original, e.g., how it happened with the project “New Rembrandt”. In this

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42

ACYPRESTE, RAFAEL DE, and EDEMILSON PARANÁ. "Artificial Intelligence and employment: a systematic review." Brazilian Journal of Political Economy 42, no. 4 (December 2022): 1014–32. http://dx.doi.org/10.1590/0101-31572022-3320.

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ABSTRACT This paper presents a systematic literature review, grounded on bibliometric procedures, of the (political economy) works, produced from 2008 to 2020, on the relations between Artificial Intelligence and employment. It detects a growing tendency of published papers in this field, especially from 2019, and identifies four main groups of concerns on this topic. Within these groups, a prevalence of more optimistic over skeptical accounts and, especially, of economic orthodox over heterodox approaches on the issue can be noted. Overall, it is possible to understand that both the reviewed

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43

Panchariya, Dev Arastu. "The Theory of Natural-Artificial Intelligence." European Journal of Artificial Intelligence and Machine Learning 1, no. 1 (February 15, 2022): 1–3. http://dx.doi.org/10.24018/ejai.2022.1.1.2.

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In recent times, mankind is seeking for certain peculiar solutions to multiple facets containing an identically very fundamental philosophy i.e., certainly intend to have indeterminism as a primordial prerequisite; however, that indeterminism is itself like a void filled with determinism as analogous to the quantum computing as qubits and the corresponding complexity. In the meantime, there are algorithms and mathematical frameworks and those in general; yield the required distinctions in the underlying theories constructed upon principles which then give rise to respective objectifications. B

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Santy, R. D., M. I. Habibillah, Y. R. Dimyati, V. S. S. Nofia, S. Luckyardi, T. V. L. Gaol, and D. Oktafiani. "Artificial Intelligence as Human Behavior Detection for Auto Personalization Function in Social Media Marketing." International Journal of Research and Applied Technology 1, no. 1 (June 25, 2021): 25–34. http://dx.doi.org/10.34010/injuratech.v1i1.5456.

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This study aims to determine how artificial intelligence's role in increasing marketing activities' effectiveness in automatic personalization. Some of the factors that can influence humans using social media are what they like, where they comment, and their type in the search fields on their social media. The method used in this research is a comparative descriptive method, namely describing or explaining and validating a phenomenon under study, then comparing it with other social media that has a different system. Some of the variables or objects studied in this paper are the user's habits i

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Orsi Koch Delgado, Heloísa, Aline De Azevedo Fay, Maria José Sebastiany, and Asafe Davi Cortina Silva. "Artificial intelligence adaptive learning tools." BELT - Brazilian English Language Teaching Journal 11, no. 2 (December 31, 2020): e38749. http://dx.doi.org/10.15448/2178-3640.2020.2.38749.

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This paper explores the field of Artificial Intelligence applied to Education, focusing on the English Language Teaching. It outlines concepts and uses of Artificial Intelligence, and appraises the functionalities of adaptive tools, bringing evaluative feedback on their use by American school teachers, and highlighting the importance of additional research on the matter. It was observed that the tools are valid media options to complement teaching, especially concerning adaptive learning. They offer students more inclusive opportunities: they maximize learning by tailoring instruction to addre

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Romm, Eden L., and Igor F. Tsigelny. "Artificial Intelligence in Drug Treatment." Annual Review of Pharmacology and Toxicology 60, no. 1 (January 6, 2020): 353–69. http://dx.doi.org/10.1146/annurev-pharmtox-010919-023746.

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The most common applications of artificial intelligence (AI) in drug treatment have to do with matching patients to their optimal drug or combination of drugs, predicting drug-target or drug-drug interactions, and optimizing treatment protocols. This review outlines some of the recently developed AI methods aiding the drug treatment and administration process. Selection of the best drug(s) for a patient typically requires the integration of patient data, such as genetics or proteomics, with drug data, like compound chemical descriptors, to score the therapeutic efficacy of drugs. The predictio

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Chen, Li-Shan, Yen-Ming Tseng, and Xiao-Na Lin. "Artificial intelligence in safety system." MATEC Web of Conferences 185 (2018): 00009. http://dx.doi.org/10.1051/matecconf/201818500009.

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This research aims to study learning environment, and let the learning environment become smart. Swarm intelligence, cloud computing, and active Ultra-High Frequency RFID were used on it. We built friendly human-computer-interface software for users to use as pad phone. The Extensible Markup Language (XML) and C sharp language were used in this research. If the users begin to search, the kernel safety learning system automatically communicates with other RFID readers by agents, and the agents can search the closer camera for users. This study’s result has successfully implemented to Chin-Huo e

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Krittanawong, Chayakrit, Kipp W. Johnson, Edward Choi, Scott Kaplin, Eric Venner, Mullai Murugan, Zhen Wang, et al. "Artificial Intelligence and Cardiovascular Genetics." Life 12, no. 2 (February 14, 2022): 279. http://dx.doi.org/10.3390/life12020279.

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Polygenic diseases, which are genetic disorders caused by the combined action of multiple genes, pose unique and significant challenges for the diagnosis and management of affected patients. A major goal of cardiovascular medicine has been to understand how genetic variation leads to the clinical heterogeneity seen in polygenic cardiovascular diseases (CVDs). Recent advances and emerging technologies in artificial intelligence (AI), coupled with the ever-increasing availability of next generation sequencing (NGS) technologies, now provide researchers with unprecedented possibilities for dynami

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Yildirim, Yetkin, Emin Alp Arslan, Kamil Yildirim, and Ibrahim Bisen. "Reimagining Education with Artificial Intelligence." Eurasian Journal of Higher Education 2, no. 4 (September 24, 2021): 32–46. http://dx.doi.org/10.31039/ejohe.2021.4.52.

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Artificial intelligence (AI) technologies have been implemented successfully in many industries, from virtual hospital assistants to algorithm-based warehouse processing. And now that Covid-19 has forced students and teachers to transition to online or hybrid learning, these technologies could offer new and exciting possibilities for education as well. By incorporating AI and machine learning tools into online classrooms, educators can address many of the challenges that have emerged with the recent loss of face-to-face instruction, including the struggle for students to self-regulate their le

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Paliński, Andrzej. "Prognozowanie zapotrzebowania na gaz metodami sztucznej inteligencji." Nafta-Gaz 75, no. 2 (February 2019): 111–17. http://dx.doi.org/10.18668/ng.2019.02.07.

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The paper presents contemporary trends in artificial intelligence and machine learning methods, which include, among others, artificial neural networks, decision trees, fuzzy logic systems and others. Computational intelligence methods are part of the field of research on artificial intelligence. Selected methods of computational intelligence were used to build medium-term monthly forecasts of natural gas demand for Poland. The accuracy of forecasts obtained using the artificial neural network and the decision tree with classical linear regression was compared based on historical data from a t

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