Relevant bibliographies by topics / Controlling Super-intelligence

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Academic literature on the topic 'Controlling Super-intelligence'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Controlling Super-intelligence"

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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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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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&lt;p&gt;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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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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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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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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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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Book chapters on the topic "Controlling Super-intelligence"

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Ortega Meza Daniel Gerardo, Morfín Garduño Onofre Amador, and Castellanos García Manuel Iván. "Control of a Synchronous Magnet Generator Using Sliding Modes for Wind Turbine Application." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2017. https://doi.org/10.3233/978-1-61499-773-3-243.

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On this paper a robust decentralized control system at cascade scheme applied to medium capacity wind systems is proposed. On the first closed-loop subsystem, the PMSG-side converter controller is designed for controlling the angular rotor velocity of a permanent magnet synchronous generator to maximize the wind energy capture. On the second closed-loop subsystem, the grid-side converter controller is designed for regulating the link DC-bus voltage located between two converters, and the reactive power to set a unity power factor. The two proposed controllers are based on a combination of the
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Singhal, Saurabh, Sandeep Singh Sikarwar, Ajeet Kumar Sharma, Aman Kumar Kumar, Avinash Kumar Kumar Sharma, and Pawan Kumar Goel. "Real-Time AI-Based Security Monitoring for Industrial Control Systems." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-3241-3.ch013.

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Industry systems controlling power generation operations together with water distribution and manufacturing facilities form a connected network similar to a massive web infrastructure. The Industrial Control Systems referred to as ICS serve vital functions although they remain at constant risk of stealthy cyberattacks. Hacker strikes result in more than financial loss and temporary shutdowns since they endanger human lives. Modern defenses based on firewalls or intrusion detection systems have become insufficient to protect industrial systems. Real-Time AI-Based Security Monitoring emerges to
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Conference papers on the topic "Controlling Super-intelligence"

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Mammadov, Elvin, and Dan Hoffarth. "Revolutionizing Rig Integration with Next-Generation MPD Equipment: The Pressure Management Device (PMD)." In SPE/IADC Middle East Drilling Technology Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/214552-ms.

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Abstract Managed Pressure Drilling (MPD) is a method of controlling wellbore pressure using specialized equipment and techniques that adjust bottom hole pressure in real time. It can be performed with automated or semi-automated systems and trained field personnel, including operators or rig crew. When MPD systems are integrated into drilling rig operations, benefits of MPD systems and processes can be achieved but can be complex. This includes installing equipment, training personnel, and creating policies and procedures. Integrating MPD into a drilling rig has always been challenging due to
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