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Journal articles on the topic 'Meta-Super-Intelligence'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Tresa, Renu. "Collaborational Co-Existing with the AI: Wedding the Bhasmāsura with Humanity for the Good." Vidyankur: Journal of Philosophical and Theological Studies Nov-Dec 2020, no. XXXII/2 (2020): 18–30. https://doi.org/10.5281/zenodo.4101684.

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‘Virtual reality’ is the watch word for our times with coronavirus sweeping the whole of Earth keeping us socially distanced; not on the social media platforms though.  The virtual reality is the new ‘reality.’  Artificial Intelligence (AI) is at the forefront to make our life viable during this pandemic.  Work from home, virtual meetings, online classes are all possible through the AI.  Our dependence on AI is on the rise exponentially. Will the AI overcome humanity and rule over us? Should we be threatened by Super Intelligence?  As the world

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2

Babkin, A. V., A. A. Fedorov, I. V. Liberman, and P. M. Klachek. "Industry 5.0: concept, formation and development." Russian Journal of Industrial Economics 14, no. 4 (2021): 375–95. http://dx.doi.org/10.17073/2072-1633-2021-4-375-395.

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At present in Europe and Russia there are active discussions of the next mega stage of human social and economic development. It concerns the Industry 5.0 concept. In 2020–2021 members of scientific research and technological organizations discussed the aspects of Industry 5.0 at a number of well-known European and Russian forums. Major attention was paid to technologies maintaining Industry 5.0. As a result the world scientific community reached a consensus on two fronts: firstly, on integration of opportunities of the existing technologies of Industry 4.0 with the human-oriented approach of

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3

Mustafa, Alrasheed, Richard Millham, and Hongji Yang. "PRISMA Approach for Assessing Fingerprint Classification Models Based on Artificial Super-Intelligence Techniques." Engineering Innovations 14 (April 4, 2025): 127–38. https://doi.org/10.4028/p-fij4gb.

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The aim of this research paper focused on using PRISMA to reveal most artificial intelligence techniques that were used for fingerprint classification. Biometric technology such as fingerprints plays a key role in authenticating and identifying people’s identities. Therefore, with the increasing number of population and the usage of biometrics for authentication, fingerprint classification systems are becoming important and indispensable for recognizing and authenticating individuals. Therefore, Artificial Super-Intelligence (ASI) techniques such as bioinspired algorithm, deep learning and mac

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4

Huang, Shijue, Wanjun Zhong, Deng Cai, et al. "Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 23 (2025): 24150–58. https://doi.org/10.1609/aaai.v39i23.34590.

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Self-learning of Large Language Models (LLMs) facilitates their advancement towards super-intelligence by training with self-synthesized experiences. However, a critical challenge is the amplification of hallucinations in generated data during iterative self-learning, underscoring the need for reliable data selection. To address this, we investigate the mechanism of Inner Knowledge Explicitation, which involves explicitly extracting the inner knowledge from memory of LLMs, to concurrently improves reasoning, and enables reliable self-learning data selection. This paper introduces a Self Knowle

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5

Widians, Joan Angelina, Retantyo Wardoyo, and Sri Hartati. "A Hybrid Ant Colony and Grey Wolf Optimization Algorithm for Exploitation-Exploration Balance." Emerging Science Journal 8, no. 4 (2024): 1642–54. http://dx.doi.org/10.28991/esj-2024-08-04-023.

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The Ant Colony Optimization (ACO) and Grey Wolf Optimizer (GWO) are well-known nature-inspired algorithms. ACO is a metaheuristic search algorithm that takes inspiration from the behavior of real ants. In contrast, GWO is a grey wolf population-based heuristic algorithm. The important procedure in optimization is exploration and exploitation. ACO has excellent global and local search capabilities, and the exploration process is performed better than the exploitation process. In the case of regular, GWO is a greatly competitive algorithm compared to other common meta-heuristic algorithms, as it

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6

Shani, Varsha, Manju Bala, Manoj Kumar, and Neeraj Kumar. "Energy Efficient TABU Optimization Routing Protocol for WSN." Ingeniería Solidaria 16, no. 3 (2020): 1–31. http://dx.doi.org/10.16925/2357-6014.2020.03.07.

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Introduction: This article is the result of the research “Energy efficient routing protocols in wireless sensor network: Examine the impact of M-SEEC routing protocols on the lifetime of WSN with an energy efficient TABU optimization routing protocol”developed in the IKG, Punjab Technical University, India in 2019.Problem: The task of finding and maintaining routes in WSNs is non-trivialsince energy restrictions and sudden changes in node status cause frequent and unpredictable changes.Objective: The objective of this paper is to propose an energy efficient heterogeneous protocolwith the help

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7

Cheong, B. Ch. "The Rise of AI Avatars: Legal Personhood, Rights and Liabilities in an Evolving Metaverse." Journal of Digital Technologies and Law 2, no. 4 (2024): 857–85. https://doi.org/10.21202/jdtl.2024.42.

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Objective: to determine the legal implications of the development of autonomous and creative AI-based avatars and to shape the direction of the discourse on the responsible management of AI technologies in the meta-universe based on proactive interdisciplinary approaches.Methods: the research is based on a doctrinal legal approach, which allowed presenting a prospective analysis of the legal landscape in the field of AI avatars in the metaverse and to identify four key thematic areas of research: the evolution of AI avatars and the impact of the metaverse, the applicability of legal personhood

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8

Kutuza, N. V. "HYPNOINDUCTORS OF THE EFFECTIVE FORMULA OF POSITIVATION IN SOCIAL ADVERTISING DISCOURSE." Opera in Linguistica Ukrainiana, no. 31 (July 14, 2024): 353–64. http://dx.doi.org/10.18524/2414-0627.2024.31.309454.

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The article is devoted to influential elements of social advertising discourse, where Milton-model inductions are arranged, which is proposed to be nominated as hypnoinducers. The purpose of the study was to identify actual hypnoinducers of the influential formula of positivity in social advertising discourse. The object of intelligence research is Ukrainian advertising megadiscourse, the subject is suggestive markers of Ukrainian social advertising discourse. General scientific methods contributed to the delineation of specific features of social advertising discourse, various types of hypnoi

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9

Fasoli, Marco. "Super Artifacts: Personal Devices as Intrinsically Multifunctional, Meta-representational Artifacts with a Highly Variable Structure." Minds and Machines 28, no. 3 (2018): 589–604. http://dx.doi.org/10.1007/s11023-018-9476-3.

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10

Pal, Debabrata, Shirsha Bose, Deeptej More, Ankit Jha, Biplab Banerjee, and Yogananda Jeppu. "MAML-SR: Self-adaptive super-resolution networks via multi-scale optimized attention-aware meta-learning." Pattern Recognition Letters 173 (September 2023): 101–7. http://dx.doi.org/10.1016/j.patrec.2023.08.004.

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11

Furman, Anatolii. "Methodological optics of types of scientific rationality: attributes, parameters, approaches." Psihologìâ ì suspìlʹstvo 1, no. 2025 (2025): 24–79. https://doi.org/10.35774/pis2025.01.024.

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The disclosed results of this fundamental interdisciplinary study are centred around the main super-task – to create improved, more detailed and enriched by attributive features, versions of the four fundamental types of scientific rationality – classical, postclassical, non-classical and post-nonclassical, as well as in this target context to argue their emergence as a result of a particular scientific revolution, the optimal set of attributes-characteristics, the complexity of the content and formulations of the topic, objective, object and subject as fundamental methodological parameters of

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12

Sahni, Varsha, Manju Bala, and Manoj Kumar. "Enhanced MSEEC routing protocol using tabu search with static and mobile nodes in WSN." Recent Patents on Computer Science 12 (October 11, 2019). http://dx.doi.org/10.2174/2213275912666191011164607.

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Background Background of this paper has taken place in mainly heterogeneous network in which three types of nodes are present like normal node, advance node and super node with different amount of energy. The energy of super node is greater than that of advance and normal nodes and the energy of advance nodes are also greater than that of normal nodes in the designed network. The optimization techniques have to be studied from the swarm intelligence based on the different aspects of routing. Objective: The objective of this paper is to propose a new heterogeneous protocol with the help of hybr

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13

Chu, Shu-Chuan, Zhi-Chao Dou, Jeng-Shyang Pan, Lingping Kong, Václav Snášel, and Junzo Watada. "DWSR: an architecture optimization framework for adaptive super-resolution neural networks based on meta-heuristics." Artificial Intelligence Review 57, no. 2 (2024). http://dx.doi.org/10.1007/s10462-023-10648-4.

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AbstractDespite recent advancements in super-resolution neural network optimization, a fundamental challenge remains unresolved: as the number of parameters is reduced, the network’s performance significantly deteriorates. This paper presents a novel framework called the Depthwise Separable Convolution Super-Resolution Neural Network Framework (DWSR) for optimizing super-resolution neural network architectures. The depthwise separable convolutions are introduced to reduce the number of parameters and minimize the impact on the performance of the super-resolution neural network. The proposed fr

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14

Wu, Wenhao, Tao Wang, Zhuowei Wang, Lianglun Cheng, and Heng Wu. "Meta transfer learning-based super-resolution infrared imaging." Digital Signal Processing, September 2022, 103730. http://dx.doi.org/10.1016/j.dsp.2022.103730.

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15

Hu, Xuecai, Zhang Zhang, Caifeng Shan, Zilei Wang, Liang Wang, and Tieniu Tan. "Meta-USR: A Unified Super-Resolution Network for Multiple Degradation Parameters." IEEE Transactions on Neural Networks and Learning Systems, 2020, 1–15. http://dx.doi.org/10.1109/tnnls.2020.3016974.

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16

Lee, Bokyeung, Kyungdeuk Ko, Jonghwan Hong, and Hanseok Ko. "Domain-Agnostic Single-Image Super-Resolution via a Meta-Transfer Neural Architecture Search." Neurocomputing, December 2022. http://dx.doi.org/10.1016/j.neucom.2022.12.050.

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17

García-Aguilar, Iván, Jorge García-González, Rafael M. Luque-Baena, Ezequiel López-Rubio, and Enrique Domínguez. "Optimized instance segmentation by super-resolution and maximal clique generation." Integrated Computer-Aided Engineering, February 10, 2023, 1–14. http://dx.doi.org/10.3233/ica-230700.

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The rise of surveillance systems has led to exponential growth in collected data, enabling several advances in Deep Learning to exploit them and automate tasks for autonomous systems. Vehicle detection is a crucial task in the fields of Intelligent Vehicle Systems and Intelligent Transport systems, making it possible to control traffic density or detect accidents and potential risks. This paper presents an optimal meta-method that can be applied to any instant segmentation model, such as Mask R-CNN or YOLACT++. Using the initial detections obtained by these models and super-resolution, an opti

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18

Leaver, Tama, and Suzanne Srdarov. "ChatGPT Isn't Magic." M/C Journal 26, no. 5 (2023). http://dx.doi.org/10.5204/mcj.3004.

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Introduction Author Arthur C. Clarke famously argued that in science fiction literature “any sufficiently advanced technology is indistinguishable from magic” (Clarke). On 30 November 2022, technology company OpenAI publicly released their Large Language Model (LLM)-based chatbot ChatGPT (Chat Generative Pre-Trained Transformer), and instantly it was hailed as world-changing. Initial media stories about ChatGPT highlighted the speed with which it generated new material as evidence that this tool might be both genuinely creative and actually intelligent, in both exciting and disturbing ways. In

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19

Babur, Muhammad Naveed. "Revolutionizing Academic Medical Writing: The Role of AI." Journal of Nursing and Allied Health 2, no. 04 (2024). https://doi.org/10.37939/jnah.v2i04.82.

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Scientific communication features academic medical writing, which is of fundamental importance for sharing research results, discovering new knowledge in medicine, and building medical policy. This field requires high precision, high clarity and adherence to ethical and scientific standards that can be toughest for researchers in resource limited settings or during global crises. This domain offers transformative potential in the integration of artificial intelligence (AI) with its capacity to increase efficiency, improve linguistic quality and help introduce the potential for innovative appro

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20

Suberviola, Ovejas Iratxe. "Emotional Competencies and Emotional Coeducation Amongst University Students." April 19, 2025. https://doi.org/10.56300/JRCJ3584.

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This study examines the emotional competencies amongst 1,345 university students from three universities in northern Spain, focusing on emotional attention, clarity, and regulation by gender, academic discipline, and educational stage. Using the Trait Meta-Mood Scale (TMMS-24) as a measurement tool, statistical analyses, including normality tests, ANOVA, and t-tests, were conducted with the aim of identifying significant differences in emotional competencies based on these variables. Results indicate that female participants scored higher in emotional attention, while male participants excelle

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