Relevant bibliographies by topics / AI-dominated World

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Academic literature on the topic 'AI-dominated World'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "AI-dominated World"

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Yuan, Rongjie. "Interpreters vs machines: can interpreters survive in an AI-dominated world?" Interpreter and Translator Trainer 15, no. 2 (2021): 282–85. http://dx.doi.org/10.1080/1750399x.2021.1915575.

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Ms., Ratna Singh. "Artificial Intelligence Impacts on Intellectual Property Laws and Policy." Annual International Journal on Analysis of Contemporary Legal Affairs (AIJACLA) 5 (May 26, 2025): 194–208. https://doi.org/10.5281/zenodo.15521469.

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<em>The integration of artificial intelligence (AI) into intellectual property (IP) law is rapidly transforming the landscape of ownership, regulation, and ethical considerations in both the creation and enforcement of IP rights. As AI technology advances, it challenges traditional notions of IP ownership, especially in determining the eligibility of AI-generated content for copyright and patent protection, and clarifying ownership between human creators and AI developers. This paper examines the regulatory and ethical implications of AI&rsquo;s impact on IP law and policy, focusing on key iss
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Cowin, Jasmin, Birgit Oberer, and Cristo Leon. "A Brave New World: AI as a Nascent Regime?" Journal of Systemics, Cybernetics and Informatics 21, no. 4 (2023): 58–66. http://dx.doi.org/10.54808/jsci.21.04.58.

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This transdisciplinary discussion draws parallels between Aldous Huxley's dystopian vision in his novel 'Brave New World' and the current era dominated by Large Language Models (LLM) and Generative Artificial Intelligence, scrutinizing its significant implications and potential effects. It explores how AI can influence human behavior, reshape societal norms, and potentially lead to the homogenization of linguistic expression. Highlighting the risks of unregulated AI-driven tools, the discussion stresses their potential to standardize and diminish the richness of human language, creativity, and
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Ravindar, Reddy Gopireddy. "Securing the Future: The Convergence of Cybersecurity, AI, and IoT in a World Dominated by Intelligent Machines." European Journal of Advances in Engineering and Technology 11, no. 8 (2024): 91–95. https://doi.org/10.5281/zenodo.13753300.

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The rapid convergence of Artificial Intelligence (AI), the Internet of Things (IoT), and advanced cybersecurity practices is ushering in an era of unprecedented technological advancement. This new paradigm holds the potential to transform every facet of human life, from smart cities and autonomous vehicles to healthcare and global commerce. However, it also presents significant challenges, including the need to safeguard these interconnected systems against increasingly sophisticated cyber threats. This article provides an in-depth analysis of the current state of cybersecurity as it relates t
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Kumar Suman, Sanjay. "Embracing the Challenges and Opportunities of Financial Management in an AI-Dominated Business Environment." Financial Technology and Innovation 2, no. 2 (2023): 08–17. http://dx.doi.org/10.54216/fintech-i.020201.

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In this work, we describe an adaptive financial management strategy, tailor-made to meet the demands of, and capitalize on, an economy ruled by AI. The suggested solution combines three essential algorithms: LSTM-based machine learning for economic forecasting; SHAP-based explainable AI for openness in decision-making; and blockchain technology with proof-of-work (PoW) security. This LSTM-based method handles the sequential data often seen in time series analysis, which is crucial for effective financial forecasting. It is particularly effective at identifying complex interrelationships in fin
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Dicka, Widya Purnama, Bagus Ainur Rochman Candra, Darmawan Rafli, Amaliyah Putri, Dzikrul Baqi Achmad, and Zahidin Archam. "A Bibliometrics Analysis for Artificial Intelligence Implementation of Employment in Education Institutions." INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS 07, no. 01 (2024): 7–16. https://doi.org/10.5281/zenodo.10457431.

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Artificial Intelligence (AI) represents the capacity of computers to emulate human intelligence, raising concerns about its potential impact on the role of educators. As students progressively rely on AI for task completion, there is a perceived threat to the traditional role of educators. To address this challenge, this paper advocates for the adoption of the Role Play Model and Project-Based Learning methods in education. These approaches are inherently human-centric and cannot be replicated by AI, ensuring that students continue to require the guidance and expertise of educators. Utilizing
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Setiawi, Agustina Purnami, Elyakim Nova Supriyedi Patty, and Samuel Rex Mulyadi Making. "Dampak Artificial Intelligence dalam Pembelajaran Sekolah Menengah Atas." Indo-MathEdu Intellectuals Journal 5, no. 1 (2024): 680–84. http://dx.doi.org/10.54373/imeij.v5i1.826.

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Artificial Intelligence (AI) helps improve efficiency, personalized learning, effective feedback, teaching effectiveness, as well as prepare students for a world increasingly dominated by technology. In today's digital era, the field of education has witnessed a significant transformation through the integration of Artificial Intelligence (AI). The purpose of this research is to determine the impact of AI in high school learning. The research approach that the compiler uses is a qualitative method with a type of literature study. Data is collected through various relevant article sources. Data
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Jean-Claude, Kouassi Konan. "A THOROUGH INTRODUCTION TO MULTIMODAL MACHINE TRANSLATION." International Journal of Artificial Intelligence & Applications 16, no. 3 (2025): 47–64. https://doi.org/10.5121/ijaia.2025.16304.

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Five years before the release of ChatGPT, the world of Machine Translation (MT) was dominated by unimodal AI implementations, generally bilingual or multilingual AI models with only text modality. The era of Large Language Models (LLMs) led to various multimodal translation initiatives with text and image modalities, based on custom data engineering techniques that introduced expectations for improvement in the field of MT when using multimodal options. In our work, we introduced a first of its kind AI multimodal translation with four modalities (text, image, audio and video), from English tow
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Fahmi, Fahmi Nugraha. "Learn Programming Languages Using Chatgpt." Scientific Journal of Information System 2, no. 1 (2024): 12–15. http://dx.doi.org/10.70429/sjis.v2i1.99.

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Technology is currently developing rapidly, where every year there are lots of programming languages which appears to provide solutions in creating applications or as business support Many of these programming languages require one to learn to be able to do them competing in a world of work that is now dominated by AI and machine learning so we must be able to take advantage of learning quickly using chatGPT However, someone who is truly an expert in this field is still needed to verify the correctness of the code produced
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Saavedra-Rivano, Neantro. "Mankind at a Crossroads." International Journal of Software Science and Computational Intelligence 12, no. 3 (2020): 28–37. http://dx.doi.org/10.4018/ijssci.2020070103.

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The focus of this article is an examination of the impact that sentience of AI systems would have on mankind. Although the notion of sentience for AI systems is subject to controversy, we believe that its plausibility confers a sense of urgency to the kind of exercise developed here. For completeness, the article distinguishes the near-future and longer-term impacts of artificial intelligence. While the short-term impact is deemed to be mostly positive, the outlook for longer-term impact is considered to be negative under a variety of scenarios, including the adoption of man-machine symbiosis
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Books on the topic "AI-dominated World"

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Germanà, Maria Luisa, ed. Permanenze e innovazioni nell'architettura del MediterraneoMediterranean Architecture between Heritage and Innovation. Firenze University Press, 2011. http://dx.doi.org/10.36253/978-88-6655-007-5.

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Il volume offre numerosi spunti sul tema Permanenze e innovazioni nell'architettura del Mediterraneo, dimostrandone l'ampiezza di aspetti riconducibili alla Tecnologia dell'architettura, di cui si evidenzia la flessibilità dei confini disciplinari con riferimento ai diversi significati assumibili dal concetto di risorsa. Letta in continuità con le precedenti pubblicazioni Osdotta, questa consente di seguire quanto si va sviluppando nel terzo livello di formazione in un momento particolarmente critico per l'istituzione universitaria, continuando a porre l'accento sul nodo domanda/offerta di ric
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Downie, Jonathan. Interpreters vs Machines: Can Interpreters Survive in an AI-Dominated World? Taylor & Francis Group, 2019.

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Interpreters vs Machines: Can Interpreters Survive in an AI-Dominated World? Taylor & Francis Group, 2019.

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Downie, Jonathan. Interpreters vs Machines: Can Interpreters Survive in an AI-Dominated World? Taylor & Francis Group, 2019.

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Downie, Jonathan. Interpreters vs Machines: Can Interpreters Survive in an AI-Dominated World? Taylor & Francis Group, 2019.

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Lipa, Haim. Robots Don't Take Lunch Breaks - Essential Skills for Success in an AI-Dominated World. Independently Published, 2022.

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Book chapters on the topic "AI-dominated World"

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Salaets, Heidi, and Katalin Balogh. "Are interpreters and interpreting technology ready for the post-Covid era?" In Introducing New Hypertexts on Interpreting (Studies). John Benjamins Publishing Company, 2023. http://dx.doi.org/10.1075/btl.160.13sal.

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From its onset in early 2020, the Covid-19 (hereafter Covid) crisis has uncovered both the insecurity about new technologies and their flexibility. In this chapter, we will attempt to provide a non-exhaustive map of the field of interpreting technology in different settings, of research on these new technologies and research using them. Tools and resources that enhance an interpreter’s performance will also be discussed as part of technological evolution, while the final question to be answered is whether “interpreters [can] survive in an AI-dominated world” (Downie 2020). This contribution wa
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Qassrawi, Rania Muhammad. "Meta-Analysis of Using AI-Based Feedback Systems in Developing College Students’ Academic Writing Skills." In Sustainability, AI and Innovation: Proceedings of the Applied Research in Humanities & Social Sciences (ARHSS 2023). Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2532-1_20.

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Abstract In a technology-driven world where using artificial intelligence (AI) systems have dominated in all fields, educational institutions have become keen to embrace innovative tools and applications as a fundamental part of teaching-learning to promote learners’ skills and competencies. Automated writing feedback systems, which are AI-based tools, are being used excessively at universities to provide students with immediate and timely written feedback; hence, reviewing, analyzing, and synthesizing the methods and results of existing studies in this regard can be considered a crucial headw
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Merceron, Kristopher, and Karene Best. "Integrating Professional Perspectives for AI Literacy." In The Role of Generative AI in the Communication Classroom. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-0831-8.ch014.

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This chapter delves into the crucial realm of AI literacy in education by integrating insights from librarians and communication professors. It underscores the pivotal roles these professionals play in equipping students for an AI-dominated future. As the educational landscape rapidly transforms under the influence of AI, librarians and communication professors are tasked with adapting their roles and collaborating to provide comprehensive AI literacy. Sections within the chapter explore the evolving roles, the significance of AI literacy, interdisciplinary curriculum integration, ethical cons
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Geraci, Robert M. "The Iron Horsemen and the End of Times." In Futures of Artificial Intelligence. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9788194831679.003.0003.

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The simultaneous rise of artificial intelligence (AI) and transhumanism was key to the science fiction and pop science emergence of Apocalyptic AI in the U.S. and Europe. In the mid-20th century, AI emerged as a science in the U.S. and became critical to American hopes for a new world. Simultaneously, transhumanist thought took root. This chapter describes the rise of Apocalyptic AI within the U.S. and Europe, exploring this through the contributions of four key individuals who provided key scientific, technological, and pop culture interventions. In different ways, each is crucial to the popu
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Ali, Qamar, and Muhammad Aamir Mahmood. "Transforming Leadership." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-8960-7.ch009.

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Artificial Intelligence (AI) has changed the way of management in organizations and workplace culture. Machine learning, natural language processing, and robotic process automation AI technologies have transformed decision support, operational efficiency, and human resources, enabling the move from traditional hierarchical management to an AI enhanced process. In this paper, we examine how AI facilitates data driven decision making, increases productivity by automating tasks and allows for human–AI collaboration in the workplace. This study examines AI's relevance to customer service, supply c
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Lek, Lawrence. "Small Group — Subsystem." In Informatics of Domination. Duke University Press, 2025. https://doi.org/10.1215/9781478060581-011.

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This entry is an excerpt from the script of Lawrence Lek’s first feature-length film, AIDOL. The film is a CGI fantasy that forms the sequel to his acclaimed film Geomancer (2017). Deploying 3D rendering and video gaming software, AIDOL tells the story of Diva—a fading superstar preparing for a comeback performance at the 2065 eSports Olympics—and Geo, an AI with artistic yearnings. This is a world dominated by the Farsight Corporation, an AI conglomerate whose services have created a postwork society and a corresponding appetite for perpetual entertainment. In this extract from the script, ta
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Rajapriya, M., Tamilselvan Pongiathan, R. Lumina Julie, R. Murugesan, M. Felisiya, and Dinesh Elango. "A Conceptual Study on Perception Towards the Implementation of Artificial Intelligence in the Recruitment and Selection Process in MNC Companies." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2276-5.ch001.

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The aim of this chapter is to examine the perception towards implementation of AI in the recruitment and selection process in MNC companies. AI has become our present and future and has dominated our lives and businesses in this competitive world. By implementing AI, MNCs can increases their recruiting and selection efficiency and have access to a wider candidate pool. Digitization has played a prominent role in redesigning the different human resource functions and processes. AI in recruitment and selection processes has been glorified for being cost-effective, time-saving, fair, and unbiased
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Oztunc, Muge, and Volkan Budak. "Human–AI Interaction in the Production of Cultural Symbols." In Advances in Human and Social Aspects of Technology. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-7235-7.ch004.

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This chapter explores how artificial intelligence can contribute to the production of visual cultural values and how we can collaborate with AI more effectively and creatively by adapting rug motifs that have existed since the early second millennium BC. The reproduction of these rug symbols with contemporary values acts, in a sense, as a revival of the Anatolian rug language. Generative AI tools have the potential to revolutionize representation and visualization through their ability to interpret and generate visual content. Rug motifs are powerful symbols of female identity, productivity, a
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Karmakar, Dr Rita, and Abrar Saqib. "THE NEW FACE OF THE UPCOMING EDUCATION SECTOR." In Futuristic Trends in Social Sciences Volume 2 Book 2. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2023. http://dx.doi.org/10.58532/v2s2ch16.

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The world has been through crucial circumstances during COVID-19, and this was one of the major influences in the rise of online learning and e-education. Contemporary times have been dominated by technology, and we can hardly imagine a life without the internet, smart phones, and computers because of this distance education can be easily available if one has stable internet connections. Students were exposed to online classes instead of traditional classroom settings when different nations announced lockdowns, school children and college students acquired knowledge via online lectures, and in
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Natale, Simone. "The ELIZA Effect." In Deceitful Media. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190080365.003.0004.

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This chapter focuses on ELIZA, the first chatbot program, developed in the 1960s at the Massachusetts Institute of Technology by Joseph Weizenbaum to engage in written conversations with users of the MAC time-sharing system. The program’s alleged capacity for conversation attracted the attention of audiences in the United States and the world, and Weizenbaum’s book Computer Power and Human Reasons (1976) drew readers from well outside his discipline of computer science. In the process, the program presented AI in ways that sharply contrasted with the vision of human-machine symbiosis that domi
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Conference papers on the topic "AI-dominated World"

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"The Value of Soft Skills in a World Dominated By AI: Why Human Qualities Are More Critical than Ever." In Visible Conference on Educational Studies and Applied Linguistics. Tishk International University, 2023. http://dx.doi.org/10.23918/vesal2023v24.

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Agbaji, Armstrong Lee. "Leadership and Managerial Decision-Making in an AI-Enabled Oil and Gas Industry." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207613-ms.

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Abstract The Age of AI is defining a new set of challenges for leaders and the integration of digitalization and analytics into management decision-making is now a strategic priority for the oil industry. The fundamental challenge currently confronting the industry is to find leaders who can lead in the digital age. As the industry grapples with the AI revolution, pressure is mounting on leaders to react swiftly to the disruption that comes in its wake. Leadership and management methodologies currently employed by most organizations will not suffice in the digital age because leadership in thi
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Agbaji, Armstrong Lee. "Developing Next Generation Petrotechnical Professionals in the Age of AI." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207813-ms.

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Abstract The most common challenge facing the oil industry in the Age of AI is talent scarcity. As digital transformation continues to redefine what it takes to work in the industry, staying relevant in the industry will require knowledge and understanding of the underlying technologies driving this transformation. It also requires a re-evaluation of how next generation petrotechnical professionals are nurtured, educated, and trained. The human talent that is needed in the Age of AI is different, and simply obtaining a science or engineering degree will no longer suffice to survive and thrive
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Biswas, Arpan, Yongtao Liu, Maxim Ziatdinov, et al. "A Multi-Objective Bayesian Optimized Human Assessed Multi-Target Generated Spectral Recommender System for Rapid Pareto Discoveries of Material Properties." In ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/detc2023-116956.

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Abstract Optimization for different tasks like material characterization, synthesis, and functional properties for desired applications over multi-dimensional control parameter and function spaces need a rapid strategic search through active learning. However, in all cases prior to optimization, the target material properties are assumed known and fixed, which mostly deviates from real-world scenarios in material synthesis. This can be critical for running expensive experiments on new materials, when the experimental results are fuzzy for any scientific outcomes due to improper target setting,
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Patel, Harsh, and Jonathan Chong. "How to Design a Modular, Effective, and Interpretable Machine Learning-Based Real-Time System: Lessons from Automated Electrical Submersible Pump Surveillance." In ADIPEC. SPE, 2023. http://dx.doi.org/10.2118/216761-ms.

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Abstract Many machine learning (ML) projects do not progress beyond the proof-of-concept phase into real-world operations and remain economical at scale. Commonly discussed challenges revolve around digitalization, data, and infrastructure/tooling. However, there are other non-ML aspects that are equally if not more important towards building a successful system. This paper presents a general framework and lessons learned for building a robust, practical, and modular domain-centric ML-based system in contrast to purely "data-centric" or "model-centric" approaches. This paper presents the case
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Alqassab, H. M., M. Feng, J. A. Becker, S. Song, and T. Mukerji. "MAGCS: Machine Assisted Geologic Carbon Storage." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/222120-ms.

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Abstract This study presents a groundbreaking geologic modeling technique powered by artificial intelligence (AI), which is executed in a phased approach. We employ generative AI-based models to construct detailed 3D geologic models that are conditioned to well data and 3D seismic information and validated with real field cases. The paper showcases the practical application of this method by creating a model of a fluvial-dominated deltaic saline aquifer, a potential site for CO2 sequestration. Existing geological modeling methods face limitations in generating heterogeneity structures, encompa
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Taheri, Ali, and Claudio Aguayo. "Embodied immersive design for experience-based learning and self-illumination." In LINK 2021. Tuwhera Open Access, 2021. http://dx.doi.org/10.24135/link2021.v2i1.72.

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Concept-based teaching and learning grounded on a mechanical paradigm has dominated western education tradition since the first industrial revolution. This type of educational tradition is characterised, among other things, by its reductionist and linear mindset that has led to siloed and disconnected knowledge generation. Yet the 21st Century demands us to rethink the traditional roles of the learner, the teacher and the learning environment. Climate change and wicked socio-ecological problems and challenges require a new ‘tradition’ to emerge, dominate and respond to our societal and planeta
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