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Journal articles on the topic 'Artificial super intelligence'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Gill, Karamjit S. "Artificial super intelligence: beyond rhetoric." AI & SOCIETY 31, no. 2 (2016): 137–43. http://dx.doi.org/10.1007/s00146-016-0651-x.

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Pradhan, Suraj Kumar. "Decoding AI: From Artificial Intelligence to Super Intelligence." Management Accountant Journal 54, no. 3 (2019): 46. http://dx.doi.org/10.33516/maj.v54i3.46-50p.

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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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Koshidgewar, Dr. Bhasker. G. "Applications of Artificial Intelligence in various fields." International Journal of Advance and Applied Research 5, no. 27 (2024): 1–4. https://doi.org/10.5281/zenodo.13856463.

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Artificial intelligence is categorized based on functionality and technology used. There are three types of AI-based on technology; Artificial Super Intelligence (ASI), artificial narrow intelligence (ANI), and Artificial general intelligence (AGI).

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Pejkovic, Marko. "Artificial intelligence and geopolitics." Zbornik Matice srpske za drustvene nauke, no. 188 (2023): 495–515. http://dx.doi.org/10.2298/zmsdn2388495p.

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In this paper, the author tries to cast light on the relationship between artificial intelligence and geopolitics by providing an answer to the question - is artificial intelligence just one of the ?tools? that serves states to protect their geopolitical interests (both tellurocratic and atlanticist)? Or is it true that the rise and triumph of artificial intelligence actually mark the final decline and disappearance of one of the two commonly known geopolitical poles (in the form of the end of the geopolitical conflict between land and sea powers)? The first part of the paper is dedicated to t

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Chen, Bing. "The Significance of Internal Control in Business Management and the Application of Advanced AI in AGI, ASI, and UBI Eras." Open Access Journal of Economic Research 2, no. 1 (2025): 01–09. https://doi.org/10.64030/3065-9035.02.01.01.

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This paper explores the critical role of internal control (IC) in the management of enterprises and organizations, emphasizing its importance for sustainable growth and operational efficiency. It further investigates the potential of advanced artificial intelligence (AI) technologies, such as Artificial General Intelligence (AGI), Artificial Super Intelligence (ASI), and Universal Basic Income (UBI) related systems, in enhancing internal control mechanisms. The paper provides a comprehensive analysis of how AI can be integrated into internal control to improve efficiency, execution, and govern

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Sergievskii, Valerii. "Super Strong Artificial Intelligence and Human Mind." Procedia Computer Science 169 (2020): 458–60. http://dx.doi.org/10.1016/j.procs.2020.02.225.

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Gill, Karamjit S. "Erratum to: Artificial super intelligence: beyond rhetoric." AI & SOCIETY 31, no. 2 (2016): 145. http://dx.doi.org/10.1007/s00146-016-0661-8.

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Liu, Chenming, Ruipeng Gang, Jinjing Li, Ji Fang, and Haodong Yu. "An Overview of Video Super-Resolution Algorithms." Journal of Physics: Conference Series 2025, no. 1 (2021): 012051. http://dx.doi.org/10.1088/1742-6596/2025/1/012051.

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Abstract We investigate some excellent algorithms in the field of video space super-resolution based on artificial intelligence, structurally analyze the network structure of the algorithm and the commonly used loss functions. We also analyze the characteristics of algorithms in the new field of video space-time super-resolution. This work helps researchers to deeply understand the video super-resolution technology based on artificial intelligence.

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Warankar, Mayuri. "Generative Artificial Intelligence." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31146.

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Generative AI is a cool tech that helps machines create new stuff that looks a lot like what humans make. Think of it like a computer artist who can paint pictures, write stories, compose music, and even make videos. This paper is all about explaining generative AI: where it came from, what it's doing now, and how it's used. It works by using fancy computer programs and smart algorithms to understand patterns in data and then make new things that fit those patterns. It's super important because it's changing how we do things in fields like healthcare, entertainment, and education. But, it's no

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Sr., Anna Mary. "Humanizing Machine or Mechanizing Human Artificial Intelligence: Issues & Perspectives." Vidyankur Journal of Philosophical & Theological Studies XXV, February 2023, no. 1 (2023): 41–49. https://doi.org/10.5281/zenodo.7642716.

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<em>Abstract</em>: This paper attempts to grasp the immense growth especially in bio engineering and neuron technology. It insists to follow the religious and ecclesial insights and be cautious on dangers ahead on Humanizing Machine or Mechanizing Human. In the process of humanizing machine certainly human becomes mechanic and that is why we call them computer mechanics. Though they are mechanics they cannot go hungry while the computer does not require it. AI does not require any raw materials as such humans need everything. It’s a human wonder how this AI enters into every field and ta

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Damar, Muhammet, Ahmet Özen, Ülkü Ece Çakmak, Eren Özoğuz, and F. Safa Erenay. "Super AI, Generative AI, Narrow AI and Chatbots: An Assessment of Artificial Intelligence Technologies for The Public Sector and Public Administration." Journal of AI 8, no. 1 (2024): 83–106. http://dx.doi.org/10.61969/jai.1512906.

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Artificial intelligence encompasses a wide range of approaches, methodologies, and techniques aimed at mimicking human intelligence in machines. In recent times, the concepts of Generative Artificial Intelligence (AI), Super AI, and Narrow AI have attracted considerable attention. Undoubtedly, the success of ChatGPT in capturing all attention has played a significant role in this. Artificial intelligence technology has a profound impact on all sectors, and sector representatives are striving to adapt to this technology more quickly. It is projected that artificial intelligence could generate a

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Ashish, Patil, Almeida Franklin, and S. Shewale Ajinkya. "Research on Artificial Intelligence." Advanced Innovations in Computer Programming Languages 2, no. 2 (2020): 1–4. https://doi.org/10.5281/zenodo.3952152.

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<em>In this paper we provide a brief information about aspects of Artificial Intelligence. As we are stepping towards future Artificial Intelligence will become an important feature for Mankind. Study of artificial intelligence has quickly affected the rise of brilliant advancements that has huge effect in our day to day lives. In this paper we have mainly focused on future of Artificial Intelligence. The benefits for the much further generation can be also done by Artificial Intelligence Machine Learning, Deep Learning, and Neural Networks are basic concepts of Artificial Intelligence.</em>

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Băjenescu, Titu-Marius I. "COMPARING ARTIFICIAL INTELLIGENCE DEVELOPMENTS OF SUPERPOWERS: CHINA AND THE US." Journal of Social Sciences III (3) (September 1, 2020): 43–50. https://doi.org/10.5281/zenodo.3971959.

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The paper deals with the progress in various aspects of Artificial Intelligence (AI) in US and China. There is concern about high-level machine intelligence and super-intelligent AI coming up in a few decades, bringing with it significant risks for humanity. In other quarters, these issues are ignored or considered science fiction. High level machine intelligence will be developed around 2040-2050, rising to a nine in ten chance by 2075. Experts expect that systems will move on to super-intelligence in less than 30 years thereafter. They estimate the chance is about one in three that this deve

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Xu, Heyang. "FPGA: The super chip in the age of artificial intelligence." Journal of Physics: Conference Series 2649, no. 1 (2023): 012018. http://dx.doi.org/10.1088/1742-6596/2649/1/012018.

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Abstract In modern society, artificial intelligence (AI) is developing more rapidly. And the Field Programmable Gate Array (FPGA) has always been the focus of research as a driving platform. This paper studies in detail the theoretical basis, applications, defects, and future development directions of FPGAs. It is concluded that FPGA has three characteristics: gate array, programmable, and scene, and the detailed positioning of FPGA, the structure, principle, tools, process, and description language of FPGA design. And the unique advantages of FPGA in the field of artificial intelligence: flex

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Vyas, Nikhil, and Ryan Williams. "On Super Strong ETH." Journal of Artificial Intelligence Research 70 (January 27, 2021): 473–95. http://dx.doi.org/10.1613/jair.1.11859.

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Multiple known algorithmic paradigms (backtracking, local search and the polynomial method) only yield a 2n(1-1/O(k)) time algorithm for k-SAT in the worst case. For this reason, it has been hypothesized that the worst-case k-SAT problem cannot be solved in 2n(1-f(k)/k) time for any unbounded function f. This hypothesis has been called the "Super-Strong ETH", modelled after the ETH and the Strong ETH. It has also been hypothesized that k-SAT is hard to solve for randomly chosen instances near the "critical threshold", where the clause-to-variable ratio is such that randomly chosen instan

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Malau, Melinda, Irene Felicia Sihite, Isti Hana Sumanti, Rut Monica Desrianty, and Yosya Sri Rotua Hutahaean. "Perkembangan Artificial Intelligence dan Tantangan Generasi Muda di Era Super Digitalized." IKRA-ITH ABDIMAS 8, no. 1 (2024): 251–57. http://dx.doi.org/10.37817/ikra-ithabdimas.v8i1.3198.

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Pengabdian Pada Masyarakat ini memiliki tujuan untuk memberikan penjelasan, bahan referensi, membuka pemikiran, dan pemahaman mengenai perkembangan kecerdasan buatan untuk meningkatkan pengetahuan. Metode penelitian yang digunakan adalah metode deskriptif. Hasil dari penelitian ini adalah kecerdasan buatan sangat bermanfaat bagi kehidupan manusia untuk efisiensi aktivitas, pengambilan keputusan yang lebih akurat, analisis data, personalisasi pengalaman, peningkatan keamanan data sampai dengan peningkatan efisiensi proses inovasi. Perkembangan kecerdasan buatan telah mengalami pertumbuhan yang

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Keerthi, Halaharvi, and Sreepathi B. "Enhancement of Low Light Videos using Artificial Intelligence." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 5933–38. http://dx.doi.org/10.22214/ijraset.2023.52903.

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Abstract: Enhancing night videos can be challenging due to low light conditions and the resulting noise and loss of details. One way to enhance night videos is by using a combination of fusion and color enhancement techniques followed by preprocessing. One popular fusion technique for night videos is called Exposure Fusion, which involves blending multiple images of different exposure levels to create a final image that is well-lit and has good contrast. Color enhancement techniques can also be used to improve the quality of night videos. This involves adjusting the color balance and saturatio

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Compagnoni, Ares. "Will Artificial General Intelligence Change the Nature of War?" Military Strategy Magazine 8, no. 4 (2023): 1. https://doi.org/10.64148/msm.v8i4.5.

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The possible rise of Artificial General Intelligence has the potential to change the nature of war. This article explores how super intelligence and consciousness could change Clausewitz’s definition of war, and influence the trinity of violence, chance, and politics.

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Patel, Ayush. "Chest X-ray Image Super-Resolution Using Artificial Intelligence." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 401–11. https://doi.org/10.22214/ijraset.2025.67257.

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Chest X-ray (CXR) imaging is essential for diagnosing respiratory diseases like pneumonia, but low-resolution (LR) images can make detection less accurate. This study explores how deep learning-based super-resolution (SR) techniques can improve CXR image quality and enhance automated pneumonia detection. Real-ESRNet utilized as the generator to restore image details and Real-ESRGAN NetD as the discriminator to refine structures. The model was fine-tuned on 4,500 images, including original and multi-scale variations, randomly selected from the Random sample of NIH Chest X-ray Dataset, which con

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Rao, P. Nageswara, V. Vijaya Lakshmi, D. Srinivas, K. Sathish Kumar, and M. N. Narsaiah. "Artificial Super Intelligence Driven Electric Spring For Voltage Regulation." E3S Web of Conferences 616 (2025): 02010. https://doi.org/10.1051/e3sconf/202561602010.

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This article details the design of an advanced smart grid model that utilizes an enhanced optimal variation strategy through the integration of renewable energy sources. A key innovation presented here is the development of a renewable energy-based smart grid system that incorporates an Artificial Super Intelligence Network (ASIN) to maintain a stable voltage profile and balanced reactive power levels throughout the grid. This goal is achieved by deploying solar energy source, along with ASI technique, for effective reactive power control using Electric Spring technology. The smart grid’s powe

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Muxiddinov, Muxriddin Nuriddin o'g'li. "ARTIFICIAL INTELLIGENCE AND ITS POSSIBILITIES." "Science and innovation" international scientific journal 1, no. 2 (2022): 34–36. https://doi.org/10.5281/zenodo.6547606.

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<em>The study and acquisition of artificial intelligence is a requirement of the times. This article gives you a brief overview on artificial intelligence and its capabilities. In fact, it has many potentials</em>

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Salkapuram, Vidya Rani, Sabitha Nampally, and Anitha Padamuttum. "A Study on the Usage of Artificial Intelligence to Enhance the Resolution of Aberrated Optical Imaging Systems." International Journal of Innovative Science and Research Technology (IJISRT) 10, no. 2 (2025): 1475–77. https://doi.org/10.5281/zenodo.14964390.

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Optical imaging systems are prone to aberrations that can degrade image quality. Traditional methods for correcting aberrations can be time-consuming and expensive. Artificial intelligence (AI) is revolutionizing the field of  optical imaging systems by enhancing resolution and image quality. One of the key techniques used in this field is super- resolution, which involves using machine-learning algorithms to upscale low-resolution images into high-resolution ones.  Recent advances in artificial intelligence (AI) have enabled the development of novel methods for attaining super resol

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Dodonova, Vira, Roman Dodonov, and Kateryna Gorbenko. "Ethical Aspects of Artificial Intelligence Functioning in the XXIst Century." Studia Universitatis Babeș-Bolyai Philosophia 68, no. 1 (2023): 161–73. http://dx.doi.org/10.24193/subbphil.2023.1.10.

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"The article is devoted to the ethical aspects of artificial intelligence functioning. The problem of the safe coexistence of man and artificial intelligence is taking on increasing importance. The definition of artificial intelligence and the explanation of the difference between weak, strong artificial intelligence and super-intelligence are given. The first ethical problem of artificial intelligence functioning is the existential question of human redundancy due to the spread of artificial intelligence. The article emphasizes that artificial intelligence, on the one hand, frees a person fro

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Ordyniak, S., and S. Szeider. "Parameterized Complexity Results for Exact Bayesian Network Structure Learning." Journal of Artificial Intelligence Research 46 (March 5, 2013): 263–302. http://dx.doi.org/10.1613/jair.3744.

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Bayesian network structure learning is the notoriously difficult problem of discovering a Bayesian network that optimally represents a given set of training data. In this paper we study the computational worst-case complexity of exact Bayesian network structure learning under graph theoretic restrictions on the (directed) super-structure. The super-structure is an undirected graph that contains as subgraphs the skeletons of solution networks. We introduce the directed super-structure as a natural generalization of its undirected counterpart. Our results apply to several variants of score-based

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Liu, Ji Guang, and Qing Li. "The Effect of Empathic Technology on Artificial Intelligence." Applied Mechanics and Materials 596 (July 2014): 183–87. http://dx.doi.org/10.4028/www.scientific.net/amm.596.183.

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Recent advances in homogeneous archetypes and interposable methodologies are based entirely on the assumption that congestion control and spreadsheets are not in conflict with super pages. Even though it is never a natural objective, it fell in line with our expectations. In fact, few futurists would disagree with the synthesis of scatter/gather I/O. Maranatha, our new algorithm for pseudorandom technology, is the solution to all of these grand challenges.

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Grinin, Leonid, Anton Grinin, and Igor Grinin. "The Evolution of Artificial Intelligence: From Assistance to Super Mind of Artificial General Intelligence? Article 2. Artificial Intelligence: Terra Incognita or Controlled Force?" Social Evolution & History 23, no. 2 (2024): 165–89. http://dx.doi.org/10.30884/seh/2024.02.07.

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The article is devoted to the history of the development of ICT and AI, their current and expected future achievements, and the problems (which have already arisen but will become even more acute in the future) associated with the development of these technologies and their widespread application in society. It shows the close connection between the development of AI and cognitive science, the penetration of ICT and AI into various spheres, particularly health care, and the very intimate areas related to the creation of digital copies of the deceased and posthumous contact with them. A signifi

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Zohuri,, Bahman. "Charting the Future The Synergy of Generative AI, Quantum Computing, and the Transformative Impact on Economy, Society, Jobs Market, and the Emergence of Artificial Super Intelligence." Current Trends in Engineering Science (CTES) 3, no. 7 (2023): 1–4. http://dx.doi.org/10.54026/ctes/1050.

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This article delves into the captivating synergy between Generative Artificial Intelligence (Generative AI) and Quantum Computing, illuminating their transformative impact on the economy, society, the job market, and the looming emergence of Artificial Super Intelligence (ASI). Generative AI, a creative powerhouse, is revolutionizing content creation and streamlining operations across industries. Quantum Computing, computing’s quantum leap, offers unprecedented processing power, promising to optimize supply chains, drive innovation, and address complex global challenges. The fusion of Generati

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Cao, Jie, Jing Cao, and Yuan Tao. "Reform and Development of English Teaching in Colleges and Universities with the Integration of ChatGPT Technology." Journal of Contemporary Educational Research 8, no. 6 (2024): 71–76. http://dx.doi.org/10.26689/jcer.v8i6.7190.

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As an artificial intelligence-powered language generation model based on natural language processing, ChatGPT, like other artificial intelligence technologies, possesses super real-time dialogue capabilities and is considered an innovative and intelligent auxiliary teaching tool in the field of language learning. This article first analyzes the current state of development of artificial intelligence technologies such as ChatGPT. Secondly, it examines the challenges encountered in the reform and development of English teaching in colleges and universities in China. Lastly, it summarizes the app

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P., S. Aithal. "Super-Intelligent Machines - Analysis of Developmental Challenges and Predicted Negative Consequences." International Journal of Applied Engineering and Management Letters (IJAEML) 7, no. 3 (2023): 109–41. https://doi.org/10.5281/zenodo.8302520.

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<strong>Purpose:</strong> <em>There is a large hue and cry on achieving Super-Intelligence Machines (SIMs) using artificial intelligence technology and its adverse effect on society initially started both academia and industries which is now percolating to society and governance of many countries. It is interesting to study the possibility of the development of Super-Intelligent Machines (SIMs), their predicted abilities to surpass human intelligence in any general or particular area, and also the predicted negative consequences on human life or dangers of using such machines in the sustainabi

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Zohuri, Bahman. "Artificial Super Intelligence (ASI) The Evolution of AI Beyond Human Capacity." Current Trends in Engineering Science (CTES) 3, no. 6 (2023): 1–5. http://dx.doi.org/10.54026/ctes/1049.

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Artificial Super Intelligence (ASI) is a hypothetical stage of AI development where machines possess cognitive abilities far surpassing those of humans. ASI is characterized by superior intelligence, self-improvement capabilities, emotional intelligence, and autonomous decision-making. The advent of ASI would have profound implications across sectors, including scientific advancement, economic impact, and societal transformation. However, the development of ASI raises ethical concerns, such as control and alignment, existential risks, privacy, and job displacement. Responsible development and

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Yadav, Narendra, Latika Sharma, and Urmila Dhake. "Artificial Intelligence: The Future." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 12 (2023): 1–10. http://dx.doi.org/10.55041/ijsrem27796.

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Artificial intelligence is the intelligence of machines or software, as opposed to the intelligence of humans or animals. It is also the field of study in computer science that develops and studies intelligent machines. "AI" may also refer to the machines themselves. AI is not a new for the scientist, it was introduce in 1943 with artificial neurons model and get popular in 1950 due to “Turting test” the test was done to get answer that machine can think?, purposed by Alan Turing. Basically AI is categorized into three types, Artificial Narrow Intelligence, Artificial General Intelligence and

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Kyrnis, Nataliia. "Application of Artificial Intelligence in the Restaurant Business." Restaurant and Hotel Consulting. Innovations 7, no. 1 (2024): 111–22. https://doi.org/10.31866/2616-7468.7.1.2024.305960.

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<strong>Actuality.</strong> Nowadays, the development of artificial intelligence affects the activities of all human life spheres, and the restaurant business as well. It can be explained by the fact that restaurant business enterprises are very sensitive to changes in the environment, and they need to constantly improve their activities for competitive functioning. It is artificial intelligence that will allow to work effectively in the market of restaurant services, influencing the demand and increasing the income. Therefore, the topic of application and implementation of artificial int

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Bogdan-Petru Vrînceanu and Florentin Șerban. "Algorithmic Trading Bot Using Artificial Intelligence Supertrend Strategy." International Journal of Latest Technology in Engineering Management & Applied Science 14, no. 1 (2025): 14–20. https://doi.org/10.51583/ijltemas.2025.140103.

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Abstract: This article presents a trading strategy that combines the Super Trend indicator with the K-Nearest Neighbors (KNN) algorithm, utilizing artificial intelligence (AI) to automate market decision-making and enhance trading accuracy. The strategy integrates the SuperTrend indicator, which dynamically tracks market volatility, with the KNN algorithm, allowing the system to classify market trends as bullish, bearish, or neutral based on historical data. This enables the strategy to make intelligent, data-driven decisions in real-time without human intervention. The AI-driven approach auto

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Naveen, Sharma, Shaw Rohan, Bhar Anirban, and Chatterjee Shyamapriya. "Emerging Impact of Artificial Intelligence in Human Life." International Journal of Computer Science and Mobile Applications (IJCSMA) 10, no. 9 (2022): 26–32. https://doi.org/10.5281/zenodo.7088942.

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In the modern world, artificial intelligence is developing quickly thanks to new cutting-edge breakthroughs every day. Modern computer systems are built to do simple tasks like driving a car, recognising faces, and other menial jobs. However, the fundamental goal of artificial intelligence is to construct better and more complicated systems that would outperform humans at whatever way. This involves the performance of more sophisticated tasks like playing chess and completing mathematics. Therefore, the future goal of AI is to perfect all human activities and provide better solutions to proble

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Wan, Jin, Hui Yin, Ai-Xin Chong, and Zhi-Hao Liu. "Progressive residual networks for image super-resolution." Applied Intelligence 50, no. 5 (2020): 1620–32. http://dx.doi.org/10.1007/s10489-019-01548-8.

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Bakhmat, Nataliia. "ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION: POSSIBILITIES OF USING." Pedagogical Education:Theory and Practice 35 (March 21, 2024): 161–73. http://dx.doi.org/10.32626/2309-9763.2023-161-173.

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The integration of artificial intelligence into the system of higher education represents a turning point in the process of learning and teaching. The development of artificial intelligence has opened the way to personalized training, automation of administrative tasks and the introduction of innovative training methods. The purpose of the study was to analyze the practical aspects of using artificial intelligence in higher education institutions of Ukraine. It was determined that artificial intelligence is an organized set of information technologies, which makes it possible to perform comple

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Bakhmat, Nataliia. "Artificial intelligence in higher education: possibilities of using." Pedagogical Education:Theory and Practice 35 (December 30, 2023): 161–73. https://doi.org/10.32626/2309-9763.2023-35-161-173.

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The integration of artificial intelligence into the system of higher education represents a turning point in the process of learning and teaching. The development of artificial intelligence has opened the way to personalized training, automation of administrative tasks and the introduction of innovative training methods. The purpose of the study was to analyze the practical aspects of using artificial intelligence in higher education institutions of Ukraine. It was determined that artificial intelligence is an organized set of information technologies, which makes it possible to perform comple

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Saghiri, Ali Mohammad, S. Mehdi Vahidipour, Mohammad Reza Jabbarpour, Mehdi Sookhak, and Agostino Forestiero. "A Survey of Artificial Intelligence Challenges: Analyzing the Definitions, Relationships, and Evolutions." Applied Sciences 12, no. 8 (2022): 4054. http://dx.doi.org/10.3390/app12084054.

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In recent years, artificial intelligence has had a tremendous impact on every field, and several definitions of its different types have been provided. In the literature, most articles focus on the extraordinary capabilities of artificial intelligence. Recently, some challenges such as security, safety, fairness, robustness, and energy consumption have been reported during the development of intelligent systems. As the usage of intelligent systems increases, the number of new challenges increases. Obviously, during the evolution of artificial narrow intelligence to artificial super intelligenc

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Gorokhova, Svetlana Sergeevna. "Identification of artificial intelligence systems in legal field: the fundamentals of cyber law." Юридические исследования, no. 6 (June 2020): 1–11. http://dx.doi.org/10.25136/2409-7136.2020.6.33419.

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The subject of this article is the social relations established in the process of scientific and technological development in IT sphere that support the work of artificial intelligence systems and relate to scientific discussion on the role of artificial intelligence, robots and objects of robotics in the legal field. The author examines the relevant questions of identification of artificial intelligence systems as a subject, object or other legal phenomenon within the structure of legal relations. The research problem consists in the fact outstripping that the scientific-technological progres

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Debashish, Padhi. "Research of Artificial Intelligence in Medicine." International Journal of Innovative Science and Research Technology 7, no. 9 (2022): 60–65. https://doi.org/10.5281/zenodo.7089672.

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AI is transforming the world in every walk of life. It is collection of technologies that in future will probably rule the entire world. AI is a technology that thinks like human, learns like human but performs like super-human. In this paper, we will discuss about the application of AI in healthcare industry and all the pros and cons it is having, starting from decision making to integrating information, analysing data and use of its own results to improve itself. The technologies like Magnetic Resonance Imaging (MRI), Computed Tomography Scan (CT scan), are a part of AI that’s been wid

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Горохова, Светлана. "ON THE ISSUE OF THE NEED FOR THE INSTITUTION OF LEGAL PERSONALITY OF ARTIFICIAL INTELLIGENCE AT THE PRESENT DEVELOPMENT STAGE OF THE RULE-OF-LAW STATE." Rule-of-law state: theory and practice 16, no. 3 (2020): 23–33. http://dx.doi.org/10.33184/pravgos-2020.3.3.

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An urgent problem of transforming Russian legal system at the present stage of its development is to find an optimal balance in determining fundamental approaches to the legal regulation of public relations complicated by cyberphysical systems, artificial intelligence, various types of robots and robotics objects, as well as to consider the possibility of giving legal personality to weak and strong artificial intelligence in various branches of law and legislation. Purpose: analysis of the issues related to determining the legal status of artificial intellectual systems, taking into account mo

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Xu, Jinxi. "Research on Copyright Subjectivity in Generative Artificial Intelligence Production." Highlights in Business, Economics and Management 39 (August 8, 2024): 396–401. http://dx.doi.org/10.54097/hk0xnv47.

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The birth and development of artificial intelligence, represented by ChatGPT, have brought a new singularity to the development of the economy and the transformation of society. How to deal with the legal issues related to generative artificial intelligence in the context of the technological singularity, so that the law conforms to the process of science and technology, will be a major problem now and even in the future. In order to reconcile the contradiction between the rapid development of generative artificial intelligence in the context of the times and the copyright legislation based on

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Mahmoud, Abdellatif. "The Complete Analysis of Machine Learning and Artificial Intelligence." Advancement of Computer Technology and its Applications 3, no. 3 (2020): 1–3. https://doi.org/10.5281/zenodo.3985330.

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<em>In this research paper I provide a brief description of Machine Learning and Artificial Intelligence. As mankind is making tremendous strides in development the use of Machine Learning and Artificial Intelligence has got even more important since these are arguably the building blocks of the future. In this paper I highlight the benefits of all mainstream forms of Artificial Intelligence and Machine Learning.</em>

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Kumar, Gautam, Gulbir Singh, Vivek Bhatanagar, and Kumari Jyoti. "SCARY DARK SIDE OF ARTIFICIAL INTELLIGENCE: A PERILOUS CONTRIVANCE TO MANKIND." Humanities & Social Sciences Reviews 7, no. 5 (2019): 1097–103. http://dx.doi.org/10.18510/hssr.2019.75146.

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Purpose of Study: The purpose of the study is to investigate the dark side of artificial intelligence followed by the question of whether AI is programmed to do something destructive or AI is programmed to do something beneficial? Methodology: A study of different biased Super AI is carried out to find the dark side of AI. In this paper SRL (system review of literature approach methodology is used and the data is collected from the different projects of MIT’s media lab named “Norman AI”, “Shelley” and AI-generated algorithm COMPAS. Main Finding: The study carried out the result if

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Syauket, Amalia, Ratna Indriasari, and Mic Finanto Ario Bangun. "IMPLEMENTASI KECERDASAN BUATAN DALAM TUGAS KEPOLISIAN." Jurnal Kajian Ilmu Kepolisian dan Anti Korupsi 1, no. 2 (2024): 93–98. https://doi.org/10.31599/ahfp0q36.

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In recent years, the field of policing has undergone major changes especially in the digitization of systems and equipment used by the police as tools in crime investigation and prevention. The importance of proactive policing and prevention strategies in the digital age makes it possible to identify and prevent criminal activity before it occurs through the use of sophisticated analytical tools, intelligence roles and other digital tools. This descriptive research aims to find out how the implementation of artificial intelligence in policing in the current digitalization era? The results conc

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Alderden, Jenny, Jace Johnny, Katie R. Brooks, et al. "Explainable Artificial Intelligence for Early Prediction of Pressure Injury Risk." American Journal of Critical Care 33, no. 5 (2024): 373–81. http://dx.doi.org/10.4037/ajcc2024856.

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Background Hospital-acquired pressure injuries (HAPIs) have a major impact on patient outcomes in intensive care units (ICUs). Effective prevention relies on early and accurate risk assessment. Traditional risk-assessment tools, such as the Braden Scale, often fail to capture ICU-specific factors, limiting their predictive accuracy. Although artificial intelligence models offer improved accuracy, their “black box” nature poses a barrier to clinical adoption. Objective To develop an artificial intelligence–based HAPI risk-assessment model enhanced with an explainable artificial intelligence das

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Van, Trang, Atsuo Yoshitaka, and Bac Le. "Mining web access patterns with super-pattern constraint." Applied Intelligence 48, no. 11 (2018): 3902–14. http://dx.doi.org/10.1007/s10489-018-1182-6.

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Kuang, Ping, Tingsong Ma, Ziwei Chen, and Fan Li. "Image super-resolution with densely connected convolutional networks." Applied Intelligence 49, no. 1 (2018): 125–36. http://dx.doi.org/10.1007/s10489-018-1234-y.

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Zhang, Kaibing, Shuang Luo, Minqi Li, Junfeng Jing, Jian Lu, and Zenggang Xiong. "Learning stacking regressors for single image super-resolution." Applied Intelligence 50, no. 12 (2020): 4325–41. http://dx.doi.org/10.1007/s10489-020-01787-0.

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