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Journal articles on the topic 'AI Evolution'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Chesterman, Simon, Yuting Gao, Jungpil Hahn, and Valerie Sticher. "The Evolution of AI Governance." Computer 57, no. 9 (2024): 80–92. http://dx.doi.org/10.1109/mc.2024.3381215.

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Visser, Ubbo. "AI and Robotics: RoboCup Evolution." KI - Künstliche Intelligenz 30, no. 3-4 (2016): 333–37. http://dx.doi.org/10.1007/s13218-015-0423-7.

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Aghnia, Somayeh. "AI, Business and Digital Evolution." ITNOW 65, no. 4 (2023): 16–17. http://dx.doi.org/10.1093/itnow/bwad114.

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Nayyar, Kshitiz. "Evolution of AI and ChatGPT." International Journal of Research in Management 5, no. 1 (2023): 130–34. http://dx.doi.org/10.33545/26648792.2023.v5.i1b.80.

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Osman, Asim Seedahmed Ali. "Navigating the Future with AI-Powered Insights: Challenges and Strategies for Digital Evolution." Indian Journal Of Science And Technology 18, no. 22 (2025): 1754–62. https://doi.org/10.17485/ijst/v18i22.825.

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Objectives: The purpose of this study is to investigate how AI may improve data-centric procedures and strengthen economic ties in emerging nations. It also looks at how ethics and readiness for AI adoption affect strategic governance and policymaking, as well as how they mediate the spread of knowledge. Methods: Data were obtained from 350 respondents in the public and private sectors via interviews and online questionnaires, with 302 valid replies being used for analysis. Cronbach's Alpha was used to assess the reliability of constructs relevant to AI adoption, knowledge management, and deci

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Nasrullah, Urooj. "Deciphering Artificial Intelligence’s Impact on the Evolution and Transformation of Organizational Culture." Psychology & Psychological Research International Journal 9, no. 1 (2024): 1–11. http://dx.doi.org/10.23880/pprij-16000385.

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Artificial Intelligence (AI) is a unique set of technologies that gain a profound position in the business economy. It is a promising tool that has brought massive disruptions worldwide. AI transfiguring almost every industry has today made organizations reshape their business culture. As traditional companies have struggled to tap its potential, many organizations still lack awareness regarding its expediency and usage. Therefore, to bridge this gap, this innate chapter jeer into the instrumental role of AI in assisting business culture. Given its key features and benefits, this chapter prese

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Smith, Georgia. "Climate Change, Evolution and AI Art." ITNOW 66, no. 1 (2024): 36–37. http://dx.doi.org/10.1093/itnow/bwae017.

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Abstract Award winning digital artist, Paul Brown, offers a personal perspective on how AI could grow closer to achieving sentience, its relationship to human evolution, and how it might be impacted by climate change.

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Nakashima, Hideyuki, and Ichiro Tsuda. "Hyper-Exponential Evolution of AI Systems." Transactions of the Japanese Society for Artificial Intelligence 40, no. 3 (2025): E—O84_1–4. https://doi.org/10.1527/tjsai.40-3_e-o84.

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Dhruvitkumar V. Talati. "Python: The alchemist behind AI’s intelligent evolution." International Journal of Science and Research Archive 3, no. 1 (2021): 235–48. https://doi.org/10.30574/ijsra.2021.3.1.0169.

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In the constantly evolving landscape of Artificial Intelligence (AI), programming language selection has a defining role in the generation of innovation. This paper examines the harmonious dance between Python and AI, a language that has emerged to be the spine of intelligent systems. In a comprehensive review, we bring forth Python's heterogeneity and dominance in AI design, with applications in real life in machine learning, deep learning, natural language processing, robotics, and more. A deeper look into the strengths of Python—simplicity, rich libraries, and supportive community—offers a

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Morozov, Oleh, Oleh Аnanin, Vitalii Vasylenko, and Ganna Golubchyk. "Historical evolution of civil service in Ukraine." Revista Amazonia Investiga 12, no. 72 (2023): 192–204. http://dx.doi.org/10.34069/ai/2023.72.12.17.

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The article investigated the processes of establishment, continuous development, and transformation of the civil service in Ukraine from the period of the establishment of Kyivan Rus to the present-day Ukrainian state. The historiographical components of the formation and institution of the civil service were identified, and the objective principles and significant differences in its developmental periodization were characterized. The methodological framework of this research was based on the institutional and structural methods, normative-legal description of events, the method of communicati

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Al-Shahrani, Sultan Abdullah, and Ali Albashir Mohammed Alhaj. "Exploring King Khalid University Faculty Members’ Perspectives on Consumer Behavior and the Evolution of Marketing Strategies in the Age of Artificial Intelligence." Journal of Lifestyle and SDGs Review 5, no. 3 (2025): e04503. https://doi.org/10.47172/2965-730x.sdgsreview.v5.n03.pe04503.

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Objectives: To explore King Khalid University Faculty’s perspectives on consumer behavior and the evolution of marketing strategies in the age of Artificial Intelligence. Theoretical Framework: an overview of AI and business, explaining the concept of AI and its role and applications in modern e-business. Furthermore, AI's influence on customer behavior and the evolution of marketing strategies for the business sector is surveyed, encircling the definition of customer, and AI’s application. This in-depth review highlights the role of AI in improving consumer behavior and the evolution of marke

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Adnan, Mohammed. "Evolution of Society through Artificial Intelligence: A Review." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (2022): 2315–21. http://dx.doi.org/10.22214/ijraset.2022.41075.

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Abstract: AI has been around for years. It is now gaining popularity in the tech world for two main reasons: big data sets and integration capabilities. In 2010 the Techonomic conference Eric Schmitt suggested that every two days now we are building as much information as we did from the beginning of civilization until 2003. Today, AI is currently being used in education, health care. Soon, smart machines will replace or improve people's skills in many areas, previously thought strongly within the human domain. for more than a decade, or sometimes even a hundred, for example, new buildings are

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Kumar, Yulia, Marchena Jose, H. Awlla Ardalan, Jenny Li J., and Barzan Abdalla Hemn. "The AI-Powered Evolution of Big Data." Applied Sciences 14, no. 22 (2025): 10176. https://doi.org/10.3390/app142210176.

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The rapid advancement of artificial intelligence (AI), coupled with the global rollout of 4G and 5G networks, has fundamentally transformed the Big Data landscape, redefining data management and analysis methodologies. The ability to manage and analyze such vast and varied datasets has exceeded the capacity of any individual or organization. This study introduces an enhanced framework that expands upon the traditional four Vs of Big Data—volume, velocity, volatility, and veracity—by incorporating six additional dimensions: value, validity, visualization, variability, volatility, an

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Dr., Sandip Bhorkar. "The Evolution and Impact of Artificial Intelligence." International Journal of Advance and Applied Research S6, no. 22 (2025): 1180–82. https://doi.org/10.5281/zenodo.15542899.

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<em>Artificial Intelligence (AI) has evolved significantly over the decades, transitioning from theoretical concepts to practical applications that influence various sectors. This paper explores the historical development of AI, its technological advancements, and its profound impact on society. We also discuss the ethical considerations and future implications of AI integration in daily life and industries. AI’s rapid progression has raised important discussions around its</em> <em>responsible deployment and regulation to ensure a balance between innovation and ethical considerations.</

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Pandey, Siddhant, Nikhil Chandra Pandey, and Yash Bajaj. "AI Enabled Chatbot." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 1761–64. http://dx.doi.org/10.22214/ijraset.2024.60147.

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Abstract: As technology continues its rapid evolution, the integration of Artificial Intelligence (AI) into chatbot systems emerges as a pivotal frontier in reshaping human-computer interaction. This research paper embarks on a comprehensive exploration of the intricate synergy between AI technologies and chatbot development, with a primary focus on elevating user interactions to unprecedented levels of sophistication and intuitiveness. By delving into a nuanced understanding of methodologies, technologies, and challenges, this study aims to provide a holistic perspective on the present state

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Dr., Vishalsingh Rameshsingh Shekhawat. "Evolution: AI Innovations for Modern Library Services." International Journal of Advance and Applied Research S6, no. 18 (2025): 552–54. https://doi.org/10.5281/zenodo.15260455.

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<em>Libraries have been essential hubs for accessing information and knowledge for users. With the onset of Artificial Intelligence (AI), libraries are undergoing a transformative evolution their users to enhance services in the modern era. This paper explores the integration of AI technologies into library services, highlighting its various innovations and implications for improving user experience and accessibility. This research paper elucidates the practical applications of AI in libraries and underscores its potential to revolutionize information dissemination and retrieval. One of the wa

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V, Prerana. "The AI Evolution in Animation: Balancing Technology and Artistic Integrity." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 07 (2024): 1–13. http://dx.doi.org/10.55041/ijsrem36792.

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This paper, titled "Navigating the Frontier: Benefits and Limitations of AI in Animation," explains the transformative role of artificial intelligence (AI) within the animation industry and also shows how it began. Beginning with a synoptic overview of the evolution of animation technology, the paper unfolds the journey from early hand-drawn animations to contemporary techniques such as computer-generated imagery (CGI) and motion capture and many more. The discussion then shifts to the advantages of AI in animation. Key benefits include enhanced efficiency through automation, increased realism

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Rodrigues, George, and Mohd Nauman Madiwale. "Evolution of Sports with Artificial Intelligence." ITM Web of Conferences 68 (2024): 01001. https://doi.org/10.1051/itmconf/20246801001.

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We cannot imagine things without AI in today’s world, everywhere and is playing a important role and today it’s a day where we can witness that slowly and steadily Artificial Intelligence creeping in into sports as well features like augmented reality and virtual reality are revolutionising the sports. This paper is about examining the impact of technology in sports performance analysis with focus on improving performance of athletes, improved decision making and improving the training methods. And also exploring the challenges of introducing technology into existing practise and also providin

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Dr., Archana J. R. "Navigating the AI-Human Nexus: A Framework for Job Evolution in the Intelligent Enterprise." Journal of Research and Innovation in Technology, Commerce and Management Vol. 2, Issue 5 (2025): 2585–92. https://doi.org/10.5281/zenodo.15471731.

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Generative AI is reshaping Human Resources (HR) by transforming traditional practices, redefining job roles, and enhancing collaboration between humans and AI systems. This study, titled "Navigating the AI-Human Nexus: A Framework for Job Evolution in the Intelligent Enterprise", explores the awareness, benefits, challenges, and future outlook of generative AI in HR operations. The research aims to assess the level of understanding and perceived impact of generative AI on HR processes, evaluate its advantages such as improved efficiency and decision-making, and address challenges like ethical

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20

Shrivastava, Dr Anurag. "Artificial Intelligence (AI): Evolution, Methodologies, and Applications." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 5501–5. http://dx.doi.org/10.22214/ijraset.2024.61241.

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Abstract: Artificial intelligence, also known as AI, is a technology that enables computers and machines to emulate human intelligence and problem-solving abilities. Computers can perform a wide range of advanced functions thanks to the use of artificial intelligence (AI) technologies. These functions include the ability of machines to see, comprehend, and translate spoken and written language, analyzing data, making recommendations, and more. Artificial intelligence is considered a field of computer science that encompasses other areas like machine learning and deep learning, data analytics,

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21

Ellur, Anand, and G. Varun Kumar S. "ARTIFICIAL INTELLIGENCE: APPLICATIONS AND FUTURE." International Journal of Multidisciplinary Research and Modern Education 3, no. 1 (2017): 513–16. https://doi.org/10.5281/zenodo.825269.

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Artificial Intelligence (AI) or Augmented Intelligence happens to be the most talked about technology that would have a major impact on the way the current day world functions. The next step in evolution of digital world is AI. The safety of the world with more and more use of AI also becomes necessity. Safety rules and regulations of the digital world need to be drafted and redrafted as AI evolves and becomes a new normal in every one’s life just as mobile phone has become in the current scenario. Every day, several articles are being published about the new areas of applications of AI. This

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22

Kumar, Yulia, Jose Marchena, Ardalan Hussein Awlla, J. Jenny Li, and Hemn Barzan Abdalla. "The AI-Powered Evolution of Big Data." Applied Sciences 14, no. 22 (2024): 10176. http://dx.doi.org/10.3390/app142210176.

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The rapid advancement of artificial intelligence (AI), coupled with the global rollout of 4G and 5G networks, has fundamentally transformed the Big Data landscape, redefining data management and analysis methodologies. The ability to manage and analyze such vast and varied datasets has exceeded the capacity of any individual or organization. This study introduces an enhanced framework that expands upon the traditional four Vs of Big Data—volume, velocity, volatility, and veracity—by incorporating six additional dimensions: value, validity, visualization, variability, volatility, and vulnerabil

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23

Preston, Beth. "AI, anthropocentrism, and the evolution of ?intelligence?" Minds and Machines 1, no. 3 (1991): 259–77. http://dx.doi.org/10.1007/bf00351181.

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24

Cheng, Xueyi. "Investigations into the Evolution of Generative AI." Journal of Computer Technology and Applied Mathematics 1, no. 4 (2024): 117–22. https://doi.org/10.5281/zenodo.14003350.

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Machine Learning, a pivotal technology within the realm of artificial intelligence, has experienced remarkable progress in recent times. This research offers a thorough and structured presentation of machine learning. It begins with a comprehensive look at the evolution of machine learning throughout history, then zeroes in on dissecting the foundational algorithms that underpin the field. Following this, the study sheds light on the cutting-edge developments in machine learning, with the goal of thoroughly examining its applications across different sectors and contemplating the prospective t

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Rasoolidoost, Salman, Seyed Abbas Biniaz, and Mahdi Naderinasab. "AI and the Evolution of Journal Impact in Sports Management." AI and Tech in Behavioral and Social Sciences 3, no. 1 (2025): 42–55. https://doi.org/10.61838/kman.aitech.3.1.5.

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This narrative review explores the transformative role of Artificial Intelligence (AI) in shaping the evolution of journal impact within the field of sports management. AI has become a critical tool in academic publishing, influencing citation metrics, content curation, and peer review processes. Key metrics such as impact factor, h-index, and citation counts have been significantly impacted by AI-driven tools, which enhance the visibility, accessibility, and interdisciplinary reach of sports management journals. Journals that have adopted AI technologies, such as Sport Management Review and J

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Lee, HeeJeong Jasmine, Nurul Syahira Mohamad Zamani, Asma Ashari, and Reuben Axel Wee Ming How. "Transforming Orthodontics: Exploring Evolution and Applications of Artificial Intelligence." International Journal on Advanced Science, Engineering and Information Technology 15, no. 2 (2025): 395–401. https://doi.org/10.18517/ijaseit.15.2.20157.

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The rapid advancement of Artificial Intelligence (AI) technology, fueled by the increasing availability of extensive datasets, enhanced computing power, and the development of sophisticated algorithms, has led to its widespread integration into various aspects of daily life. AI is making significant inroads in dentistry, particularly in specialties such as orthodontics, prosthodontics, oral and maxillofacial surgery, and periodontics, where it has begun to transform traditional practices. This comprehensive review synthesizes the current literature to explore the application of AI in orthodont

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Zhang, Byoung-Tak. "Humans and Machines in the Evolution of AI in Korea." AI Magazine 37, no. 2 (2016): 108–12. http://dx.doi.org/10.1609/aimag.v37i2.2656.

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Artificial intelligence in Korea is currently prospering. The media is regularly reporting AI-enabled products such as smart advisors, personal robots, autonomous cars, and human-level intelligence machines. The IT industry is investing in deep learning and AI to maintain the global competitive edge in their services and products. The Ministry of Science, ICT, and Future Planning (MSIP) has launched new funding programs in AI and cognitive science to implement the government’s newly adopted endeavor of building a “Creative Economy” and “Software Centric Society”. However, AI was not always flo

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Farzaneh, Hooman, Ladan Malehmirchegini, Adrian Bejan, Taofeek Afolabi, Alphonce Mulumba, and Precious P. Daka. "Artificial Intelligence Evolution in Smart Buildings for Energy Efficiency." Applied Sciences 11, no. 2 (2021): 763. http://dx.doi.org/10.3390/app11020763.

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The emerging concept of smart buildings, which requires the incorporation of sensors and big data (BD) and utilizes artificial intelligence (AI), promises to usher in a new age of urban energy efficiency. By using AI technologies in smart buildings, energy consumption can be reduced through better control, improved reliability, and automation. This paper is an in-depth review of recent studies on the application of artificial intelligence (AI) technologies in smart buildings through the concept of a building management system (BMS) and demand response programs (DRPs). In addition to elaboratin

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Rahula Hananuraga, Nasril Nasril, Agustinus Tanggu Daga, Opan Arifudin, and Petrus Jacob Pattiasina. "Evolution And Contribution Of Artificial Intelligencess In Indonesian Education." Journal of International Multidisciplinary Research 3, no. 3 (2025): 19–26. https://doi.org/10.62504/jimr1219.

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The aim of this research is to analyze the evolution and contribution of artificial intelligence (AI) in the Indonesian education system. This research aims to understand how AI technology has developed and been applied in various aspects of education, from administration, personalized learning, to evaluating learning outcomes. The research methods used are literature studies and secondary data analysis from various sources, including academic journals, government reports, and case studies of AI implementation in a number of educational institutions in Indonesia. The research results show that

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Montgomery, Richard Murdoch. "From Biological Constraints to Unbounded Artificial Evolution: Exploring the Implications of AI's Accelerated Advancement." Wired Neuroscience 1, no. 3 (2024): 1–14. http://dx.doi.org/10.62162/1062011.

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This article explores the fundamental differences between biological evolution and the evolution of artificial intelligence (AI), focusing on the implications of AI's potential for unbounded advancement. Biological evolution, as exemplified by the human brain, is constrained by various factors such as physical limitations, environmental pressures, and the need to maintain a delicate balance within the organism's overall structure. These constraints result in a gradual, stepwise process of adaptation and optimization over millions of years. In contrast, AI systems are not bound by the same limi

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Sachin Mishra. "The Evolution of Data Centers in the Age of AI." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 5 (2024): 363–68. http://dx.doi.org/10.32628/cseit24105107.

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This article explores the evolving landscape of data centers in the era of artificial intelligence (AI). It examines the exponential growth of the global data center market, driven by increasing data generation and AI adoption. The article discusses key technological developments in data centers, including enhanced operational efficiency through AI-powered systems, specialized hardware for AI workloads, advanced cooling technologies, and sustainability initiatives. It also delves into future prospects, such as increased capacity for complex AI tasks, real-time processing of massive datasets, a

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Polu, Achuthananda Reddy, Goldman Sachs Bhumeka Narra, Navya Vattikonda, Varun Kumar Reddy Buddula, and Hari Hara Sudheer Patchipulusu. "Evolution of AI in Software Development and Cybersecurity: Unifying Automation, Innovation, and Protection in the Digital Age." International Journal of Research in Engineering and Applied Sciences 11, no. 5 (2025): 1–15. https://doi.org/10.63665/ijreas.v11i5.01.

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The rapid advancements in Artificial Intelligence (AI) have led to significant transformations across various fields, with software development and cybersecurity being two key areas of profound impact. Software development, testing, and maintenance are being completely transformed by artificial intelligence (AI), namely through machine learning deep learning, and natural language processing. It automates repetitive tasks, enhances decision-making processes, and accelerates development cycles, thus driving efficiency in the software industry. AI has emerged as a crucial weapon in the fight agai

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Ambani, Dr Dharmendra, and Dr Ashwin Rathod. "THE EVOLUTION OF ARTIFICIAL INTELLIGENCE: FROM RULE-BASED SYSTEMS TO DEEP LEARNING." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–6. https://doi.org/10.55041/ijsrem30072.

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Artificial Intelligence (AI) has undergone significant transformation since its inception, evolving from basic rule- based systems to advanced deep learning architectures. This review paper chronicles the evolution of AI, examining the historical context, technological advancements, and the socio-economic impacts of these innovations. We categorize AI developments into distinct eras, including symbolic AI (or rule-based systems), connectionist models, and current deep learning paradigms. By analyzing the strengths and weaknesses of these approaches, the paper elucidates the journey towards cre

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Eckroth, Joshua. "Evolution of a Robust AI System: A Case Study of AAAI’s AI-Alert." AI Magazine 41, no. 4 (2020): 17–38. http://dx.doi.org/10.1609/aimag.v41i4.5309.

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Since mid-2018, we have used a suite of artificial intelligence (AI) technologies to automatically generate the Association for the Advancement of Artificial Intelligence’s AI-Alert, a weekly email sent to all Association for the Advancement of Artificial Intelligence members and thousands of other subscribers. This alert contains ten news stories from around the web that focus on some aspect of AI, such as new AI inventions, AI’s use in various industries, and AI’s impacts in our daily lives. This alert was curated by-hand for a decade before we developed AI technology for automation, which w

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George Thomas. "AI-powered fraud detection in payment systems: The Evolution of Human-AI Collaboration." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 912–17. https://doi.org/10.30574/wjaets.2025.15.2.0627.

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This article examines the evolution and architecture of modern fraud detection systems that leverage the synergistic relationship between artificial intelligence and human expertise. The payment fraud landscape continues to expand rapidly, with financial institutions investing heavily in advanced detection technologies to combat increasingly sophisticated threats. It explores the transition from traditional rule-based approaches to collaborative intelligence frameworks where machine learning algorithms work in concert with human judgment. The technical architecture of contemporary systems empl

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Gautam Tripathi. "AI ethics and responsible ai development: Navigating the rapid evolution of artificial intelligence." World Journal of Advanced Research and Reviews 26, no. 3 (2025): 145–52. https://doi.org/10.30574/wjarr.2025.26.3.2126.

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This article examines the rapid evolution of artificial intelligence and the ethical frameworks necessary for responsible development and deployment. As AI capabilities advance at unprecedented rates, often outpacing predictions and developing insights about individuals that exceed human perception, the ethical implications become increasingly significant. It explores six core dimensions of AI ethics: fairness and non-discrimination, transparency and explainability, privacy and security, human oversight, accountability, and reliability and safety. Each dimension is analyzed through the lens of

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HEMANTH J, A. Mr, and BDr LAKSHMINARAYANA K. "AI and the Evolution of IT Startup Ecosystems: A Global Perspective." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44391.

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The rapid advancement of Artificial Intelligence (AI) is profoundly transforming the global IT startup landscape, fueling innovation, economic growth, and shifting competitive dynamics. This paper investigates how AI technologies are reshaping the formation, development, and market strategies of IT startups across different regions worldwide. The objective is to offer a comprehensive understanding of how AI advancements interact with the startup ecosystem, emphasizing the variations in AI adoption, implementation, and outcomes across diverse geographic and economic contexts. To achieve this, t

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Ringel Raveh, Anat, and Boaz Tamir. "From Homo Sapiens to Robo Sapiens: The Evolution of Intelligence." Information 10, no. 1 (2018): 2. http://dx.doi.org/10.3390/info10010002.

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In this paper, we present a review of recent developments in artificial intelligence (AI) towards the possibility of an artificial intelligence equal that of human intelligence. AI technology has always shown a stepwise increase in its capacity and complexity. The last step took place several years ago with the increased progress in deep neural network technology. Each such step goes hand in hand with our understanding of ourselves and our understanding of human cognition. Indeed, AI was always about the question of understanding human nature. AI percolates into our lives, changing our environ

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KUNZ, JOHN. "From PUFF to integrated concurrent engineering: A personal evolution." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 21, no. 1 (2007): 19–22. http://dx.doi.org/10.1017/s0890060407070096.

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Artificial intelligence (AI) emerged from the 1956 Dartmouth Conference. Twenty-one years later, my colleagues and I started daily operational use of what we think became the first application of AI to be used in practice: the PUFF pulmonary function system. We later described the design and initial performance of that system (Aikins et al., 1983; Snow et al., 1998). Today, easily recognizable descendants of that first “expert system” run on commercial products found in medical offices around the world (http://www.medgraphics.com/datasheet_pconsult.html), as do many other AI applications. My r

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Kapoor, Sameer, Arushi Arvind, Ghassan Kloub, Shrutika Mahendra Parekh, Susan Khalafallah, and Hekmat Hammam. "EVOLUTION OF ARTIFICIAL INTELLIGENCE IN ANESTHESIA AND ITS PATH FORWARD." International Journal of Advanced Research 12, no. 09 (2024): 1687–97. http://dx.doi.org/10.21474/ijar01/19608.

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Artificial intelligence (AI) has brought a paradigm shift in patient management in the modern healthcare industry. This narrative literature review aims to explore the evolution of AI in the field of anesthesia and discuss its potential path forward. The increased demand for personalized care, smart decision-making tools, precision in practice, and growth in telemedicine, particularly in the realm of perioperative care, has brought AI to the forefront. By examining the existing research and applications of AI in anesthesia, this review seeks to provide insights into the current state of AI tec

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Martins, Maicon Roberto. "Project Management Evolution: From Traditional IT Implementations to AI-Driven Projects." International Journal of Scientific Research and Management (IJSRM) 11, no. 07 (2023): 5011–28. http://dx.doi.org/10.18535/ijsrm/v11i07.em03.

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The rapid advancement of artificial intelligence (AI) has brought transformative changes to project management, necessitating a departure from traditional methodologies previously employed in IT project implementations. This paper explores the evolution of project management from conventional IT approaches to the dynamic demands of AI-driven projects. While foundational principles of project management—such as planning, risk management, and stakeholder communication—remain relevant, AI projects introduce unique challenges and require significant adaptations to existing frameworks. The study be

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Khan, Areeba Naseem, Salar Khan, Abid Ali, et al. "Artificial Intelligence in Computer Science: Evolution, Techniques, Challenges, and Multidisciplinary Applications." Scholars Journal of Engineering and Technology 13, no. 04 (2025): 246–63. https://doi.org/10.36347/sjet.2025.v13i04.006.

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Artificial Intelligence (AI) has become an influential paradigm in computer science that has sparked revolutionary changes in various industries with its learning capabilities, reasonability, and adaptability. This paper gives an exhaustive overview of AI's presence in general-purpose computational fields and important intersections with algorithmic work, data work, software work, human-computer interaction (HCI), security and privacy concerns, and foundations. The paper exhaustively addresses state-of-the-art AI methods like machine learning, deep learning, natural language processing, comput

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Chen, Fanfan, and Cheng-En Tsai. "Revisiting Human Identity vis-à-vis AI Evolution." Caietele Echinox 40 (June 28, 2021): 332–50. http://dx.doi.org/10.24193/cechinox.2021.40.26.

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"With technological advancement, AI tends to turn more human while humans tend to turn more artificial or virtual. The gradual convergence between these two apparently distinct entities leads us to revisit the problems of identity. Human consciousness evolves in decreasing participation towards final participation. As humans are becoming more abstract and rationalist, AI is becoming more concrete and human. This essay attempts to review human identity vis-à-vis AI evolution from the perspective of materialism and that of narrative."

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Rah, Ali. "Artificial Intelligence Expansion, A Transformation or a Mutation." International Journal of Computational Science, Information Technology and Control Engineering 11, no. 3 (2024): 9–17. http://dx.doi.org/10.5121/ijcsitce.2024.11302.

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The field of Artificial Intelligence (AI) is evolving in a fast pace impacting a wide range of other field including general public use of social media platforms all the way to industrial activities and Cybersecurity. When AI is combined with Quantum Computing the abilities of AI are exponentially increased. This paper aims to explore the evolution of AI, discuss if this evolution a transformation or a mutation, and its correlation with Quantum Computing. It is also looking into the impact of AI on Cybersecurity risks and mitigation.

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Naveen Kumar Dodde Gowda. "AI and Human-AI Collaboration in Financial Reconciliation Systems." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 3255–65. https://doi.org/10.32628/cseit251112298.

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This comprehensive article examines the evolution and impact of human-AI collaboration in financial reconciliation systems, focusing on how artificial intelligence technologies are transforming traditional reconciliation processes while maintaining crucial human oversight. The article explores the current landscape of financial reconciliation, the implementation of AI systems, the critical role of human expertise, and the measurable benefits of human-AI collaboration. The article investigates pattern recognition capabilities, automated data processing, strategic oversight, and exception handli

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Zhai, Yujia, Jiaqi Yan, Hezhao Zhang, and Wei Lu. "Tracing the evolution of AI: conceptualization of artificial intelligence in mass media discourse." Information Discovery and Delivery 48, no. 3 (2020): 137–49. http://dx.doi.org/10.1108/idd-01-2020-0007.

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Purpose This study/paper aims to understand the public perceptions of AI through mass media discourse. In the past few years, significant progress has been made in the field of artificial intelligence (AI). The benefits of AI are obvious, but there is still huge uncertainty and controversy over the public perception of AI. How does the mass media conceptualize AI? Design/methodology/approach In this paper, the authors analyze the evolution of AI covered by five major news media outlets in the past 30 years from 7 dimensions: scientific subject, keyword, country, institution, people, topic and

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Lebedeva, Simona Ernestovna, Grigory Vladislavovich Vakku, Larisa Boleslavovna Solovey, and Dmitry Konstantinovich Goncharov. "Historical evolution of legislative regulation of the media in the west." Revista Amazonia Investiga 12, no. 71 (2023): 77–82. http://dx.doi.org/10.34069/ai/2023.71.11.6.

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The objective of this study is to analyze the legal regulation of the media in Western countries. The study is based on universal scientific methods, such as observation, deduction, analysis, comparative and historical historical analysis of different legislatures and the practices of their implementation. The countries chosen for the analysis are the so-called "old Europe" countries. The study concludes that the legal regulation of the media is a complex issue that must be addressed with a holistic approach. The law is important, but it is not enough to guarantee freedom of expression and inf

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Sazhienko, Ekaterina. "AI and Big History." Journal of Big History 8, no. 1 (2025): 71–82. https://doi.org/10.22339/jbh.v8i1.8110.

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Artificial Intelligence (AI) is rapidly becoming a part of our everyday lives. In this paper, we examine how AI understanding can help Big History in two ways: 1. by providing insight into the complexity of human evolution; 2. by enabling a better understanding of future scenarios as the complex relationship between humans and artificial intelligence evolves. In addition, it discusses how AI tools can be used to enhance scientific discovery and then provide access to information through search and communication. Our understanding of AI and brains is explored by reviewing the fascinating develo

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Researcher. "EVOLUTION AND FUTURE OF SEARCH: HOW AI IS TRANSFORMING INFORMATION RETRIEVAL." International Journal of Computer Engineering and Technology (IJCET) 15, no. 4 (2024): 107–17. https://doi.org/10.5281/zenodo.13134112.

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This article examines the transformative impact of artificial intelligence on search engines, enhancing query processing and information retrieval. It addresses the limitations of traditional keyword-based algorithms. It traces the evolution of search engines from early keyword-based models to the integration of AI, enabling semantic understanding and context-aware search. The article delves into crucial AI techniques like Natural Language Processing, deep learning, and reinforcement learning, highlighting their impact on query processing and retrieval accuracy. It further explores how AI faci

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Balreddygari, Jyothi. "Evolving Minds and Riding Waves: Development and Progress in ChatGPT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32264.

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This research paper delves into the dynamic evolution of ChatGPT, a foremost conversational Artificial Intelligence (AI) model, with a focus on its developmental journey and progressive advancements. Termed "Evolving Minds" and "Riding Waves," we investigate the intricate interplay between cognitive evolution and the dynamic trajectory of progress. Through a comprehensive methodological framework encompassing historical analysis, comparative studies, and trend assessment, we meticulously trace ChatGPT's developmental milestones and transformative shifts. Our inquiry extends into the underlying

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