Relevant bibliographies by topics / AI Evolution

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'AI Evolution'

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

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Journal articles on the topic "AI Evolution"

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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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Dissertations / Theses on the topic "AI Evolution"

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Norén, Eric. "Evolution av beteendeträd för AI-motståndare i 2D-skjutspel : Vinner en AI utvecklad av singel- eller multi-målsgenetisk algoritm fler matcher efter evolution av samma mängd individer?" Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15427.

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Genetiska algoritmer och beteendeträd är två populära AI-tekniker som använts i både kommersiella produkter och forskningssyfte. Kombinationen av dem genom evolution av beteendeträd är däremot ett väldigt outforskat ämne som denna rapport handskas med. Arbetet beskriver först bakgrunden av de individuella teknikerna samt de få artiklar som relaterar till den specifika ämneskombinationen. Sedan presenteras problemformuleringen vilket angår jämförelsen av en singel- och multimål genetisk algoritm i syftet att utveckla beteendeträd till ett 2d-skjutspel. En artefakt skapades för att sätta upp spe
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Lövgren, Hans. "Utilizing state-of-art NeuroES and GPGPU to optimize Mario AI." Thesis, Blekinge Tekniska Högskola, Institutionen för kreativa teknologier, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4386.

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Context. Reinforcement Learning (RL) is a time consuming effort that requires a lot of computational power as well. There are mainly two approaches to improving RL efficiency, the theoretical mathematics and algorithmic approach or the practical implementation approach. In this study, the approaches are combined in an attempt to reduce time consumption.\newline Objectives. We investigate whether modern hardware and software, GPGPU, combined with state-of-art Evolution Strategies, CMA-Neuro-ES, can potentially increase the efficiency of solving RL problems.\newline Methods. In order to do this,
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Wångsell, Johan. "Användning av genetiska algoritmer för framtagning och utvärdering av byggordningar i RTS-spel." Thesis, Högskolan i Skövde, Institutionen för kommunikation och information, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-8168.

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Detta arbete undersöker användningen av evolutionära algoritmer för framtagning och utvärdering av byggordningar i RTS-spel. Syftet var att undersöka om just evolutionära tekniker kan uppnå lika bra resultat som skriptade byggordningar då evolutionära tekniker oftast är billigare att utveckla.För att undersöka denna problemställning utvecklades en applikation med en experimentmiljö och en Artificiell Intelligens (AI) med evolutionär algoritm. Denna applikation och AI användes sedan för utvärdering av framtagna byggordningar.Resultatet antyder att evolutionära tekniker kan uppnå lika bra kvalit
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Jahan, Masrurah. "Factors disrupting the evolution of Artificial Intelligence from the perspective of an IT company." Thesis, Uppsala universitet, Informationssystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-445631.

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Background: Artificial intelligence has risen to prominence as a subject of study. The pace of artificial intelligence evolution in Bangladesh's IT industry is increasing by the day. In Bangladesh's IT Industry, artificial intelligence (AI) offers enormous potential. Despite the huge potential and advantages of AI implementation or adoption, Bangladesh's IT industry is still failing to move forward with its AI implementation. Objectives: The objective of this study is to identify the main factors that disturb the implementation of AI in the IT Company of Bangladesh. Novelty: In Bangladesh, mos
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DAGHIA, Giulia. "Evoluzione clonale in relazione ai fattori prognostici nella Leucemia Linfatica Cronica." Doctoral thesis, Università degli studi di Ferrara, 2015. http://hdl.handle.net/11392/2388986.

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Chronic lymphocytic leukemia (CLL) display a variable clinical behaviour, with many patients living for years without symptoms and other patients requiring early therapeutic intervention attaining short lasting responses and succumbing to their disease in a few years. Several adverse prognostic features have been identified including stage, CD38 positivity, the unmutated configuration of the variable region of the immunoglobulin heavy chain gene (IGHV), ZAP70 positivity, chromosome aberrations and molecular abnormalities. Even though most of CLL patients with favorable prognostic features, i.
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Véron, Emmanuel. "Synthèse et étude structurale de la gehlénite au bore Ca2Al2-xBxSiO7 : mécanisme de substitution B/AI et ordre local." Phd thesis, Université d'Orléans, 2011. http://tel.archives-ouvertes.fr/tel-00703476.

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Dans cette thèse, nous décrirons les effets structuraux (structure moyenne et à l'ordre local) engendrés par la substitution de l'aluminium par du bore dans la gehlénite (Ca2Al2-xBxSiO7). Les modifications des environnements atomiques à courtes et moyennes distances ont pu être déterminées grâce à une analyse poussée par diffraction sur poudre et à l'utilisation des dernières techniques de RMN haute résolution en phase solide. La première partie du manuscrit donne une description complète de la structure du minéral non substitué Ca2Al2SiO7. L'ensemble des 7 environnements de l'aluminium a été
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Granfelt, Elias. "Elmannätverk för generellt Atari-spelande." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13630.

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Generellt spelande är ett forskningsområde fokuserat på att skapa AI som kan spela spel utan någon domänspecifik information. Detta arbete har undersökt elman-nätverks potential för generellt Atari-spelande genom att testa ett elman-nätverk och ett feedforward-nätverk via the Arcade Learning Environment. Nätverken använder en pixelrepresentation för att representera spelmiljön och baserar sina handlingar endast på den informationen. Agenterna testades på fyra spel varav två anses kräva en mer avancerad struktur än feedforward. Agenterna evalueras via deras toppoäng i spelen som testas och trän
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Filho, Carlos Roberto Rodrigues. "The Evolution of the Computation Project for an Artificial Intelligence and the new Perspectives Offered by the Advances of the Enactive Cognition." Universidade Federal do CearÃ, 2012. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=8788.

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FundaÃÃo de Amparo à Pesquisa do Estado do CearÃ<br>O desenvolvimento da Ãrea de InteligÃncia Artificial (IA) trouxe grandes avanÃos para a resoluÃÃo de problemas computacionalmente difÃceis. No entanto, a meta inicial da IA, de implementaÃÃo de uma inteligÃncia genuÃna de forma artificial, ainda nÃo foi alcanÃada. Por isso, a grande maioria dos pesquisadores da Ãrea mudou o foco de suas pesquisas para resoluÃÃo de problemas, em geral abandonando a meta de uma inteligÃncia artificial. Para continuar perseguindo essa meta, outros pesquisadores passaram a questionar os princÃpios filosÃficos da
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Baran, Gulsum. "A Study On Modern Bathroom Through Sanitary Ware After The Nineteenth Century." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/2/12611905/index.pdf.

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In this study the design of the sanitary ware and bathrooms are examined, concentrating on small bathrooms and changing design aspects of bathrooms. The design considerations of bathrooms and the design of the bath tub, wash basin and toilet which forms the sanitary ware sets in bathrooms is reviewed as for being dominant elements of bathroom design.
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Ekelöf, Alexander, and Mikaela Stålring. "Framtidens industri: Från visionen Industri 4.0 idag till verkligheten imorgon : En fallstudie på HordaGruppen AB." Thesis, Linnéuniversitetet, Institutionen för maskinteknik (MT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-53644.

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Företags framtid ligger i dess egna händer; beroende på hur väl de anpassar sig till nya förutsättningar i alla dess former så kommer vissa att överleva medan andra går i graven. Under flera hundra år har utvecklingen inom industrin medfört att företag kommit och gått. Idag står vi enligt flera inför randen till en ny teknisk era med en fjärde industriell revolution som följd, Industri 4.0. Vi har en evolution mot en mer automatiserad tillverkningsindustri där allt fler moment sker utan en människas händer bakom spakarna. Industri 4.0 ses av många som en vision om hur framtiden kommer att se u
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Books on the topic "AI Evolution"

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Sarang, Poornachandra. ANN: A Game-Changing Evolution in AI. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-55371-4.

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Lewis, Carroll. Ai-li-si man you qi jing. Da Gueng Cu Ban She, 1986.

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Lewis, Carroll. Ai-li-si meng you qi jing. The Sunbeam Pub., 1986.

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Mukesh, Patel, Honavar Vasant, and Balakrishnan Karthik 1970-, eds. Advances in the evolutionary synthesis of intelligent agents. MIT Press, 2001.

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Lewis, Carroll. Ai li si man you yi jing ji. Shang hai wai yu jiao yu chu ban she, 2004.

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D, Quagliarella, ed. Genetic algorithms and evolution strategy in engineering and computer science: Recent advances and industrial applications. J. Wiley & Sons, 1998.

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Courtney Love & D.j. Milky and Misaho Kujiradō̄. Princess Ai Volume 3: Evolution (Princess AI). TokyoPop, 2006.

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Learning Evolution: The New Era of AI in the Classroom. Primedia eLaunch LLC, 2023.

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Joshi, Ameet. Artificial Intelligence and Human Evolution: Contextualizing AI in Human History. Apress L. P., 2023.

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Jordan, Deann, Susan Rebner, and Todd Rebner. Absolute AI: The Evolution of the Human Experience Through Artificial Intelligence. Lulu Press, Inc., 2019.

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Book chapters on the topic "AI Evolution"

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Patil, Chhaya S., Amit P. Patil, and Vaishali B. Patil. "Evolution of Technologies." In AI and Emerging Technologies. CRC Press, 2024. http://dx.doi.org/10.1201/9781003501152-1.

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Saxena, Anshul, Shalaka Verma, and Jayant Mahajan. "Evolution of Generative AI." In Generative AI in Banking Financial Services and Insurance. Apress, 2024. https://doi.org/10.1007/979-8-8688-0559-2_1.

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Gal-Or, Sharon. "Genesis, Evolution & AI." In International Series on Computer, Entertainment and Media Technology. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83085-3_19.

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Gal-Or, Sharon. "Evolution, Consciousness & AI." In International Series on Computer, Entertainment and Media Technology. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83085-3_90.

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Gogula, Ravali, R. Teja Swarup, Paduru Rama Krishna Reddy, and Pokala Pranay Kumar. "Evolution of Generative AI." In Minds Unveiled. Productivity Press, 2024. https://doi.org/10.4324/9781032711089-2.

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Ching, Vivian, and Dinesh Mothi. "The Evolution of the Creative-AI Collaborations." In AI for Creatives. Auerbach Publications, 2025. https://doi.org/10.1201/9781003533016-2.

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Bjerg, Jonas. "The Unexpected Evolution of AI." In The Early-Career Professional’s Guide to Generative AI. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0456-4_4.

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Bera, Rajendra K. "Evolving AI Raises Human Creativity Concern." In The Evolution of Knowledge. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9346-8_4.

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Noman, Nasimul, and Hitoshi Iba. "Cellular Differential Evolution Algorithm." In AI 2010: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17432-2_30.

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Chen, Kang-Yin, and Hua-Yue Tao. "Evolution and Advancements in ECG Device Technology." In AI Augmented ECG Technology. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-8359-5_2.

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Conference papers on the topic "AI Evolution"

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Liu, Xiang. "Evolution of Optical Network for Ubiquitous AI." In Optical Fiber Communication Conference. Optica Publishing Group, 2025. https://doi.org/10.1364/ofc.2025.th3a.1.

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We review the emerging optical network evolution trends to support ubiquitous AI by providing sufficient capacity, latency, flexibility, scalability and reliability, while maximally reusing modern network architectures such as C-RAN and OXC-based 3D mesh connection.
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Saha, Dipankar, and Bhushan Bhimarao Chavan. "Securing Digital Banking for Seniors - Preventing Elder Financial Exploitation Using AI." In 2025 IEEE Evolution - Life Members Conference. IEEE, 2025. https://doi.org/10.1109/evolution65010.2025.11044425.

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Parmar, Reeta, Puneet Garg, Mayank Bhatt, and Mohd Arsalan. "GENERATIVE AI: EVOLUTION, APPLICATIONS, CHALLENGES, AND FUTURE PROSPECTS." In 2025 First Global Conference on AI Research and Emerging Developments. Ganitara Research Foundation, 2025. https://doi.org/10.63169/gcared2025.p6.

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Eno, Sky. "Generative AI for Healthcare: Enhancing Elderly Care Through Technical Innovation and Ethical Implementation." In 2025 IEEE Evolution - Life Members Conference. IEEE, 2025. https://doi.org/10.1109/evolution65010.2025.11044423.

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Ye, Quwei, Ru Zhao, and Weiquan Pang. "AI-driven value-added OBE: the evolution of teaching models in the AI era." In Fourth International Conference on Electronics Technology and Artificial Intelligence (ETAI 2025), edited by Shaohua Luo and Akash Saxena. SPIE, 2025. https://doi.org/10.1117/12.3069427.

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Gupta, Tushar. "Evolution of Data Center Design to Handle AI Workloads." In 2024 34th International Telecommunication Networks and Applications Conference (ITNAC). IEEE, 2024. https://doi.org/10.1109/itnac62915.2024.10815309.

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Afreen, Ayra, Divya Johnson, and Jobin Christ. "Forecasting AI Evolution: A Data-Driven Trend Analysis until 2030." In 2024 International Conference on Integration of Emerging Technologies for the Digital World (ICIETDW). IEEE, 2024. https://doi.org/10.1109/icietdw61607.2024.10941215.

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Sgantzos, Konstantinos, Spyridon Stelios, Panagiotis Tzavaras, and Kostas Theologou. "The Evolution of AI and its Role in Remote Education." In 2024 15th International Conference on Distance Learning and Education (ICDLE). IEEE, 2024. https://doi.org/10.1109/icdle63439.2024.00009.

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Liu, Huan, Linchao Huang, Shuoyuan Xu, Feng Zhang, Ge Han, and Wenxing Luo. "Dynamic evolution analysis of AI in education based on SciMAT." In 2024 International Conference on Intelligent Education and Intelligent Research (IEIR). IEEE, 2024. https://doi.org/10.1109/ieir62538.2024.10959926.

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Lee, Hyunho, Kangho Kim, Gyuseong Cho, et al. "The Evolution Path of Telco Infrastructure: From Open RAN to 6G AI-RAN (Telco Edge AI)." In 2024 15th International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2024. https://doi.org/10.1109/ictc62082.2024.10827370.

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Reports on the topic "AI Evolution"

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Azzutti, Alessio, Mark Cummins, Iain MacNeil, and Chuks Otioma. Simplifying Compliance: The Role of AI and RegTech. University of Glasgow and University of Strathclyde, 2025. https://doi.org/10.36399/gla.pubs.351604.

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The Financial Regulation Innovation Lab (FRIL) is dedicated to simplifying compliance through emerging technologies, with Artificial Intelligence (AI) representing the latest evolution in regulatory technology (RegTech). Building on previous research and industry engagement—including workshops, blogs, webinars, and a micro-credential course—this White Paper presents key considerations for the conceptualisation, design, and implementation of AI-driven compliance systems. We begin by examining the nature of regulatory rules and the compliance process before exploring the complexities that challe
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Latorre, Lucia, Valentín Muro, Eduardo Rego, Mariana Gutierrez, Ignacio Cerrato, and Jose Daniel Zarate. Tech Report Artificial Intelligence. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0013015.

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This report provides a comprehensive overview of AI, from its fundamentals to its practical applications, covering topics such as its definition, evolution, and implementation. It also delves into various applications, such as machine learning, natural language processing, computer vision, and generative AI, providing specific examples and use cases across sectors like healthcare, logistics, environment, and security.
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McDonald, Paula, Stephen Hay, Abby Cathcart, and Alicia Feldman. Apostles, Agnostics and Atheists: Engagement with Generative AI by Australian University Staff. Queensland University of Technology, 2024. http://dx.doi.org/10.5204/rep.eprints.252079.

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The rapid evolution of Generative Artificial Intelligence (GenAI) technologies presents significant opportunities and challenges for higher education institutions. This report, prepared by researchers from Queensland University of Technology and Griffith University, investigates the current adoption and impact of GenAI tools among university staff across Australia. The study provides comprehensive baseline data on the prevalence, purposes, and effects of AI usage across staff groupings. These findings may help inform strategic, operational and investment decisions in the future.
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Lawson, Adrienn, Stephen Hendrick, Nancy Rausch, Jeffrey Sica, and Marco Gerosa. Shaping the Future of Generative AI: The Impact of Open Source Innovation. The Linux Foundation, 2024. https://doi.org/10.70828/sdjg1737.

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LF AI &amp; Data and CNCF partnered with LF Research to answer the question: what is the role of open source in the evolution and implementation of generative AI (GenAI) technologies? Based on a survey of 316 professionals across diverse industries, this report shows how open source tools are accelerating GenAI adoption while setting a foundation for the future of AI. Key findings show that 84% of organizations have a moderate to high adoption of GenAI, and 41% of that infrastructure is open source. Leading use cases include process automation, content generation, and code generation. What's m
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Bozzo Hauri, Sebastián. The New Frontier of Civil Liability: Artificial Intelligence, Autonomy, and Consumer Protection. Carver University; Universidad Autónoma de Chile, 2025. https://doi.org/10.32457/bozzo2202599.

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Technological evolution has entered a phase that challenges the very foundations of private law. The emergence of systems based on artificial intelligence (AI)—particularly in their most recent form, so-called AI agents—compels a reassessment of the traditional framework of civil liability, especially in the field of consumer law. The trajectory of AI has followed a path marked by three distinct waves. The first wave was predictive AI, trained on historical data to anticipate future behavior, as seen in recommendation engines and segmentation models. The second wave introduced generative AI—su
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Pasupuleti, Murali Krishna. Neuromorphic Nanotech: 2D Materials for Energy-Efficient Edge Computing. National Education Services, 2025. https://doi.org/10.62311/nesx/rr325.

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Abstract The demand for energy-efficient, real-time computing is driving the evolution of neuromorphic computing and edge AI systems. Traditional silicon-based processors struggle with power inefficiencies, memory bottlenecks, and scalability limitations, making them unsuitable for next-generation low-power AI applications. This research report explores how 2D materials, such as graphene, transition metal dichalcogenides (TMDs), black phosphorus, and MXenes, are enabling the development of neuromorphic architectures that mimic biological neural networks for high-speed, ultra-low-power computat
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Tarozzi, Martina Elena. Next Generation Sequencing Technologies, Bioinformatics and Artificial Intelligence: A Shared Time-line. MZB Standard Enterprise, 2024. http://dx.doi.org/10.57098/scirevs.biology.3.2.2.

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This review provides a comprehensive overview of the fast-paced and intertwined evolution of three pivotal fields: next-generation sequencing (NGS) technologies, bioinformatics, and artificial intelligence (AI). The paper begins by tracing the development of sequencing technologies and highlights how advancements in genetic sequencing have led to an explosion of biological data, necessitating the rise of bioinformatics for data management and analysis. The review next covers the primary steps and methods used in bioinformatic analysis and concludes by reporting some of the technical and biolog
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Pasupuleti, Murali Krishna. AI-Driven Automation: Transforming Industry 5.0 withMachine Learning and Advanced Technologies. National Education Services, 2025. https://doi.org/10.62311/nesx/rr225.

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Abstract: This article delves into the transformative role of artificial intelligence (AI) and machine learning (ML) in shaping Industry 5.0, a paradigm centered on human- machine collaboration, sustainability, and resilient industrial ecosystems. Beginning with the evolution from Industry 4.0 to Industry 5.0, it examines core AI technologies, including predictive analytics, natural language processing, and computer vision, which drive advancements in manufacturing, quality control, and adaptive logistics. Key discussions include the integration of collaborative robots (cobots) that enhance hu
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Perk, Shimon, Maricarmen Garcia, Alexander Panshin, et al. Avian Influenza Virus H9N2: Characterization and Control Strategies. United States Department of Agriculture, 2007. http://dx.doi.org/10.32747/2007.7709882.bard.

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Control of Avian Influenza (AI) infection is a highly topical subject of major economicimportance for the worldwide poultry industry at the national level and for international trade.H9N2 viruses are endemic in poultry throughout Asia and the Middle East, causing major losses inproduction. Moreover, these viruses pose wider threats since they have been isolated from bothswine and humans. At the same time, study of the AI viruses affords an opportunity to explore anumber of problems of intriguing scientific interest. The overall goal of this project was to developa sound control strategy for av
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Mosalam, Khalid, Issac Pang, and Selim Gunay. Towards Deep Learning-Based Structural Response Prediction and Ground Motion Reconstruction. Pacific Earthquake Engineering Research Center, 2025. https://doi.org/10.55461/ipos1888.

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This research presents a novel methodology that uses Temporal Convolutional Networks (TCNs), a state-of-the-art deep learning architecture, for predicting the time history of structural responses to seismic events. By leveraging accelerometer data from instrumented buildings, the proposed approach complements traditional structural analysis models, offering a computationally efficient alternative to nonlinear time history analysis. The methodology is validated across a broad spectrum of structural scenarios, including buildings with pronounced higher-mode effects and those exhibiting both line
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