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Journal articles on the topic 'Controlling Super-intelligence'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

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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2

Basma, Aoukach, and Oukarfi Benyounes. "A simulation energy management system of a multi-source renewable energy based on multi agent system." IAES International Journal of Artificial Intelligence (IJ-AI) 10, no. 1 (2021): 191. http://dx.doi.org/10.11591/ijai.v10.i1.pp191-199.

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<p>The intermittent nature of renewable energies sources makes their control difficult. One of the solutions to overcome this handicap is to promote hybridization (multi-source system). To ensure continuity of service, a storage system must be coupled to the system. To do so, artificial intelligence based models are developed to respond optimally to the dilemma of energy supply and demand. These models allow the management of the energy flow between the sources (photovoltaic, wind, battery, super capacitor, and generator) and the variable loads by controlling electronic switches accordin

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Aoukach, Basma, and Benyounes Oukarfi. "A simulation energy management system of a multi-source renewable energy based on multi agent system." International Journal of Artificial Intelligence (IJ-AI) 10, no. 1 (2021): 191–99. https://doi.org/10.11591/ijai.v10.i1.pp191-199.

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The intermittent nature of renewable energies sources makes their control difficult. One of the solutions to overcome this handicap is to promote hybridization (multi-source system). To ensure continuity of service, a storage system must be coupled to the system. To do so, artificial intelligence based models are developed to respond optimally to the dilemma of energy supply and demand. These models allow the management of the energy flow between the sources (photovoltaic, wind, battery, super capacitor, and generator) and the variable loads by controlling electronic switches according to the

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4

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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Grinin, Leonid, Anton Grinin, and Igor Grinin. "The Evolution of Artificial Intelligence: From Assistance to Super Mind of Artificial General Intelligence? Article 1. Information Technology and Artificial Intelligence: The Past, Present and Some Forecasts." Social Evolution & History 23, no. 1 (2024): 156–83. http://dx.doi.org/10.30884/seh/2024.01.07.

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The article is devoted to the history of the development of Information and Communication Technologies (ICT) and Artificial Intelligence (AI), their current and probable 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 active introduction in society. The close connection between the development of AI and cognitive science, the penetration of ICT and AI into various fields, in particular the field of health care, is shown. A significant part of the article is devoted t

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Prakash, M., S. Neelakandan, M. Tamilselvi, S. Velmurugan, S. Baghavathi Priya, and Eric Ofori Martinson. "Deep Learning-Based Wildfire Image Detection and Classification Systems for Controlling Biomass." International Journal of Intelligent Systems 2023 (September 16, 2023): 1–18. http://dx.doi.org/10.1155/2023/7939516.

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Forests are essential natural resources that directly impact the ecosystem. However, the rising frequency of forest fires due to natural and artificial climate change has become a critical issue. A revolutionary municipal application proposes deploying an artificial intelligence-based forest fire warning system to prevent major disasters. This work aims to present an overview of vision-based methods for detecting and categorizing forest fires. The study employs a forest fire detection dataset to address the classification difficulty of discriminating between photos with and without fire. This

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7

Na, Minsu, and Joohyung Lee. "Generative AI-Enabled Energy-Efficient Mobile Augmented Reality in Multi-Access Edge Computing." Applied Sciences 14, no. 18 (2024): 8419. http://dx.doi.org/10.3390/app14188419.

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This paper proposes a novel offloading and super-resolution (SR) control scheme for energy-efficient mobile augmented reality (MAR) in multi-access edge computing (MEC) using SR as a promising generative artificial intelligence (GAI) technology. Specifically, SR can enhance low-resolution images into high-resolution versions using GAI technologies. This capability is particularly advantageous in MAR by lowering the bitrate required for network transmission. However, this SR process requires considerable computational resources and can introduce latency, potentially overloading the MEC server i

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Almutairi, Mishaal M., Mohammad Yamin, George Halikias, and Adnan Ahmed Abi Sen. "A Framework for Crowd Management during COVID-19 with Artificial Intelligence." Sustainability 14, no. 1 (2021): 303. http://dx.doi.org/10.3390/su14010303.

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COVID-19 requires crowded events to enforce restrictions, aimed to contain the spread of the virus. However, we have seen numerous events not observing these restrictions, thus becoming super spreader events. In order to contain the spread of a human to human communicable disease, a number of restrictions, including wearing face masks, maintaining social distancing, and adhering to regular cleaning and sanitization, are critical. These restrictions are absolutely essential for crowded events. Some crowded events can take place spontaneously, such as a political rally or a protest march or a fu

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9

Shi, Zenglin, Pascal Mettes, Subhransu Maji, and Cees G. M. Snoek. "On Measuring and Controlling the Spectral Bias of the Deep Image Prior." International Journal of Computer Vision 130, no. 4 (2022): 885–908. http://dx.doi.org/10.1007/s11263-021-01572-7.

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AbstractThe deep image prior showed that a randomly initialized network with a suitable architecture can be trained to solve inverse imaging problems by simply optimizing it’s parameters to reconstruct a single degraded image. However, it suffers from two practical limitations. First, it remains unclear how to control the prior beyond the choice of the network architecture. Second, training requires an oracle stopping criterion as during the optimization the performance degrades after reaching an optimum value. To address these challenges we introduce a frequency-band correspondence measure to

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10

Kim, Jae Kyeong, Dae-Seong Woo, Tae-Hun Shim, Jinsub Park, and Jea-Gun Park. "CMOS-Compatible Single-Gated Memtransistor Having 3-D Bulk Channel Embedded with Quantum Well Memory Nodes for Fast Training of Deep Neural Network." ECS Meeting Abstracts MA2024-01, no. 57 (2024): 3015. http://dx.doi.org/10.1149/ma2024-01573015mtgabs.

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Recently, three-terminal synaptic devices having gate, source, and drain electrodes have been actively researched to compensate for the poor reliability of two-terminal synaptic devices such as resistive random access memory (ReRAM) and phase change random access memory (PCRAM)1. Two-terminal devices inherently suffer from read disturbance problems, where the stored resistance state changes gradually during the read process of the artificial neural network2. In addition, two-terminal devices essentially require selection devices for performing the write (program or erase) and read process, whi

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KOVAC, Mitja. "Autonomous Artificial Intelligence and Uncontemplated Hazards: Towards the Optimal Regulatory Framework." European Journal of Risk Regulation, June 17, 2021, 1–20. http://dx.doi.org/10.1017/err.2021.28.

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The issue of super-intelligent artificial intelligence (AI) has begun to attract ever more attention in economics, law, sociology and philosophy studies. A new industrial revolution is being unleashed, and it is vital that lawmakers address the systemic challenges it is bringing while regulating its economic and social consequences. This paper sets out recommendations to ensure informed regulatory intervention covering potential uncontemplated AI-related risks. If AI evolves in ways unintended by its designers, the judgment-proof problem of existing legal persons engaged with AI might undermin

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Wu, Bei, Chao Qian, Zhedong Wang, Pujing Lin, Erping Li, and Hongsheng Chen. "MetaSeeker: sketching an open invisible space with self-play reinforcement learning." Light: Science & Applications 14, no. 1 (2025). https://doi.org/10.1038/s41377-025-01876-0.

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Abstract Controlling electromagnetic (EM) waves at will is fundamentally important for diverse applications, ranging from optical microcavities, super-resolution imaging, to quantum information processing. Decades ago, the forays into metamaterials and transformation optics have ignited unprecedented interest to create an invisibility cloak—a closed space with any object inside invisible. However, all features of the scattering waves become stochastic and uncontrollable when EM waves interact with an open and disordered environment, making an open invisible space almost impossible. Counterintu

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13

Khan, Sameea Ahmed, and Rajesh Sharma. "Super Para-Magnetic Iron Oxide Nanoparticles (SPIONs) in the Treatment of Cancer: Challenges, Approaches and its Pivotal Role in Pancreatic, Colon and Prostate Cancer." Current Drug Delivery 19 (May 9, 2022). http://dx.doi.org/10.2174/1567201819666220509164611.

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Abstract: Super Para- magnetic Iron Oxide Nanoparticles (SPIONs) have been manifested for their broad spectrum of applications ranging from biomedical imaging to the treatment of many diseases. Many experiments are being conducted across the globe to especially investigate their potential in the field of targeted treatment for malignant tissues. However, challenges pertaining to the desired delivery of anticancer drugs in the body remain unresolved or unattended. The bare iron oxide nanoparticles are liable to form agglomerates or get easily oxidized in air that can lead to loss of magnetism a

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14

Roche, Matilda. "My Name is Mina by D. Almond." Deakin Review of Children's Literature 3, no. 1 (2013). http://dx.doi.org/10.20361/g2p318.

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Almond, David. My Name is Mina. New York: Delacourt Press, 2010. Print. My Name is Mina is a prequel to Almond’s award winning book Skellig - a work for young adult readers that is very exceptional and magical. It is understandable that Almond would wish to return to the character of Mina who, while not the protagonist of Skellig, provides the narrative with its essential element of magical thinking. Mina brings to Skellig its intense, idiosyncratic intelligence and comprehension of lived personal tragedy that give the book its substance and its characters' motivational credibility and willing

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15

Ahani, Zahra, Moein Shahiki Tash, Yoel Ledo Mezquita, and Jason Angel. "Utilizing deep learning models for the identification of enhancers and super-enhancers based on genomic and epigenomic features." Journal of Intelligent & Fuzzy Systems, March 23, 2024, 1–11. http://dx.doi.org/10.3233/jifs-219356.

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Super-enhancers are a category of active super-enhancers densely occupied by transcription factors and chromatin regulators, controlling the expression of disease-related genes and cellular identity. Recent studies have demonstrated the formation of complex structures by various factors and super-enhancers, particularly in various cancers. However, our current knowledge of super-enhancers, such as their genomic locations, interaction with factors, functions, and distinction from other super-enhancers regions, remains limited. This research aims to employ deep learning techniques to detect and

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16

Гринченко, С. Н. "Глобальная коэволюция информационного и боевого оружия в контексте системного генезиса Человечества: информатико-кибернетический взгляд". Международный научный журнал "Современные информационные технологии и ИТ-образование" 18, № 2 (2022). https://doi.org/10.25559/sitito.18.202202.326-336.

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Глобальная коэволюция информационного и боевого оружия (БО) рассматривается, с позиций информатико-кибернетического моделирования развития самоуправляющейся иерархо-сетевой системы Человечества, как одна из составляющих его системного генезиса. Используя в качестве маркера такового этапы превалирования информационной технологии (ИТ), удаётся проследить основные этапы возникающих при этом оружейных форм: 1) ИТ сигнальных поз/звуков/движений (лидировавшей в период ~28,2-1,86 млн лет назад, на территориях «двора»/«семьи» с характерным размером – радиусом эквивалентного круга – до 64 м) соответств

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17

Nambi, P. Arun, S. Muthubalaji, S. Srinivasan, and Mohanraj Bellie Subramani. "A smart and intelligence based controlling algorithms for maximum power extraction and effective battery management in EV systems." Energy Storage 6, no. 1 (2024). http://dx.doi.org/10.1002/est2.583.

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AbstractAn economically appealing alternative to the use of fossil fuels in many nations is the electric vehicle (EV). Commercial EVs have a battery that powers the motor while also being charged by solar photovoltaic (PV). The original contribution of this research work is to implement a smart and advanced methodologies for accomplishing the objectives of MPPT control and battery management in EVs. Here, a novel spotted hyena optimized (SHO)‐MPPT controlling algorithm is applied to get the most out of the electricity generated by PV panels to meet EV energy requirements. A modified high gain

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18

Coban, Istemihan. "Should We Wait for Major Frauds to Unveil to Plan an AI Use License?" European Journal of Therapeutics, December 22, 2023. http://dx.doi.org/10.58600/eurjther1880.

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Dear Editor, I have followed with great interest your editorial content [1] which encourages academics to create a common mind, and the writings of our contributing colleagues, and I wanted to share my views and suggestions in order to offer a perspective on the subject. While the focal point of the debate is the question of whether AI can be included in an article as a co-author, it is evident that there are various debates on the periphery. When we discuss the peripheral questions, the answer to the focal question will emerge automatically. Thanks to the computer and internet revolution, we

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19

Tipu, Abdul Jabbar Saeed, Pádraig Ó. Conbhuí, and Enda Howley. "Seismic data IO and sorting optimization in HPC through ANNs prediction based auto-tuning for ExSeisDat." Neural Computing and Applications, November 8, 2022. http://dx.doi.org/10.1007/s00521-022-07991-y.

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AbstractExSeisDat is designed using standard message passing interface (MPI) library for seismic data processing on high-performance super-computing clusters. These clusters are generally designed for efficient execution of complex tasks including large size IO. The IO performance degradation issues arise when multiple processes try accessing data from parallel networked storage. These complications are caused by restrictive protocols running by a parallel file system (PFS) controlling the disks and due to less advancement in storage hardware itself as well. This requires and leads to the tuni

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20

Marin, Riccardo, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, and Simone Melzi. "Spectral Shape Recovery and Analysis Via Data-driven Connections." International Journal of Computer Vision, July 22, 2021. http://dx.doi.org/10.1007/s11263-021-01492-6.

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AbstractWe introduce a novel learning-based method to recover shapes from their Laplacian spectra, based on establishing and exploring connections in a learned latent space. The core of our approach consists in a cycle-consistent module that maps between a learned latent space and sequences of eigenvalues. This module provides an efficient and effective link between the shape geometry, encoded in a latent vector, and its Laplacian spectrum. Our proposed data-driven approach replaces the need for ad-hoc regularizers required by prior methods, while providing more accurate results at a fraction

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21

Niu, Pingan, Liang Han, Yunzhi Huang, and Lei Yan. "Shape-controllable inverse kinematics of hyper-redundant robots based on the improved FABRIK method." Robotica, November 7, 2023, 1–17. http://dx.doi.org/10.1017/s0263574723001455.

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Abstract Hyper-redundant robots have good prospects for applications in confined space due to their high flexibility and slim body size. However, the super-redundant structure brings great challenges for its inverse kinematics with shape constraints. Unfortunately, traditional Jacobian pseudo-inverse-based inverse kinematics method and forward and backward reaching inverse kinematics (FABRIK) method are difficult to constrain the arm shape and realize trajectory tracking in confined spaces. To solve this problem, we propose a shape-controllable FABRIK method to satisfy the given path and shape

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