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Gotowa bibliografia na temat „AI (Artificial Intelligence) tibbiyotda”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "AI (Artificial Intelligence) tibbiyotda"

NATASHA, ANJUM. "ARTIFICIAL INTELLIGENCE." GPH - International Journal Of Computer Science and Engineering 07, no. 01 (2024): 01–11. https://doi.org/10.5281/zenodo.10628529.

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<strong>This research paper provides a comprehensive examination of the evolution and impact of artificial intelligence (AI) across various domains. The study delves into the historical development of AI, tracing its origins from classical rule-based systems to the contemporary era of machine learning and deep neural networks. The paper explores the key technological advancements that have propelled AI research, discussing breakthroughs in natural language processing, computer vision, and reinforcement learning. This study's paper offers a nuanced exploration of the present-day state and futur

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S, Suresh, and Sasidharan C |. "Artificial Intelligence." International Scientific Journal of Engineering and Management 04, no. 03 (2025): 1–7. https://doi.org/10.55041/isjem02419.

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Artificial Intelligence (AI) is a rapidly evolving field that aims to create systems capable of performing tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, perception, and language understanding. AI is categorized into narrow AI, which is designed for specific tasks like speech recognition and image processing, and general AI, which aspires to replicate human cognitive abilities across various domains. AI technologies, including machine learning, deep learning, and natural language processing, have significantly impacted industries such

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Layne, Armand. "Artificial intelligence (ai)." Intelligent Systems in Accounting, Finance and Management 13, no. 3 (2005): 179–81. http://dx.doi.org/10.1002/isaf.267.

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Tarekar, Sagar. "Artificial Intelligence." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (2024): 2533–35. http://dx.doi.org/10.22214/ijraset.2024.59386.

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Abstract: We have chosen this topic to spotlight on one of the most technological trend these days known as AI(Artificial Intelligent). Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision. AI brings up images of high- functioning, human-like robots taking over the world, AI isn’t intended to replace humans. Therefore we will discuss some of the most important aspects related to AI in which it will help in a better understanding of Artificial Intelligent and both its advantages and disadvantages to be able to protect ourselves f

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Abduraxmanova, Iroda O'tkirbek qizi, and Bayramdurdi Sapayev. "Zamonaviy tibbiyot: raqamli inqilob va sun`iy intellekt yordamida sog`liqni tiklash." Multidisciplinary Journal of Science and Technology 5, no. 5 (2025): 1052–55. https://doi.org/10.5281/zenodo.15503634.

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Ushbu maqolada zamonaviy tibbiyot sohasida yuz berayotgan raqamli inqilob va sun`iy intellektning ahamiyati yoritiladi. Bugungi kunda sun`iy intellekt yordamida kasalliklarni erta aniqlash, aniq diagnostika qo`yish, shaxsiylashtirilgan davolash rejalarini tuzish imkoniyatlari kengaymoqda. Shuningdek, maqolada elektron tibbiy kartalar, raqamli monitoring tizimlari va telemeditsinaning sog`liqni saqlash tizimidagi o`rni haqida so`z boradi. Tibbiyotning raqamlashtirilishi bemor va shifokor o`rtasidagi aloqani soddalashtirib, xizmat ko`rsatish sifatini oshirishga xizmat qilayotgani ilmiy misollar

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Daisy, Anjali. "Artificial Intelligence." International Journal of Social Ecology and Sustainable Development 13, no. 1 (2022): 1–9. http://dx.doi.org/10.4018/ijsesd.292075.

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Artificial Intelligence (AI) is gradually changing the practice of surgery with the advanced technological development of imaging, navigation, and robotic intervention. In this article, the recent successful and influential applications of AI in surgery are reviewed from pre-operative planning and intra-operative guidance to the integration of surgical robots. It ends with summarizing the current state, emerging trends, and major challenges in the future development of AI in surgery. Robotic surgery is the use of computer technologies working in conjunction with robot systems to perform medica

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Espinoza Molina, Nelly Daniela, Wellintong Segundo Intriago Alcivar, Angel Modesto Suing Nagua, and Juan Cerafin Velasquez Tonato. "Artificial Intelligence." Kronos – The Language Teaching Journal 5, no. 1 (2024): 93–106. https://doi.org/10.29166/kronos.v5i1.6639.

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Lately, Artificial Intelligence (AI) has become a milestone in educational issues, hence it has spread out to promote self-learning in the academic world. Undoubtedly, AI has brought many advantages although it might reduce the learners' critical thinking and problem-solving skills. Concordantly, the main purpose of this research was to ana lyze the pros and cons of using AI in English as a foreign language. Thus, sixty-nine professors from three universities in Ecuador participated in this research. A ten-question survey was applied to know how AI has been implemented into EFL classes. Google

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Bagnato, Vincenzo Paolo. "Artificial Intelligence for Design The Artificial Intelligence of Objects." Venturing into the Age of AI: Insights and Perspectives, no. 27 (October 1, 2023): 30–35. http://dx.doi.org/10.37199/f40002705.

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Artificial Intelligence (AI) is increasingly permeating various domains, revolutionizing traditional processes and opening new avenues for innovation. In the realm of design, AI holds immense promise, offering capabilities to augment human creativity, streamline workflows, and deliver personalized user experiences. This paper explores the intersection of AI and design, highlighting its transformative potential and key implications. Firstly, for instance, AI-powered design tools automate repetitive tasks, freeing up designers' time for more creative endeavors, while generative design algorithms

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Kaur, Ms Parminder. "Artificial Intelligence." International Journal for Research in Applied Science and Engineering Technology 11, no. 10 (2023): 597–99. http://dx.doi.org/10.22214/ijraset.2023.56025.

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Abstract: A multidisciplinary discipline called artificial intelligence (A.I.) aims to automate jobs that currently need human intelligence. Artificial intelligence (AI), while not being well known, is a technology that is revolutionising all facets of existence. In order to rethink how we mix data, analyse it, and make decisions, this article attempts to inform laypeople about AI and urge them to use it as a tool in various fields. In this post, we briefly discussed artificial intelligence (AI), its principles, and potential applications.

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PANDEY, SHIVAM, and BANSI KANERIA. "Collision Between Military Artificial Intelligence and Civilian Artificial Intelligence." IOSR Journal of Computer Engineering (IOSR-JCE) 25, no. 06 (2023): 38–48. https://doi.org/10.5281/zenodo.10206091.

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The evolving terrain of Artificial Intelligence (AI) exhibits a dichotomous storyline as it diverges into the realms of military and civilian applications, each following its own unique path while becoming progressively interconnected. This research paper provides a critical analysis of the intersection between military artificial intelligence (AI), which is primarily focused on strategic defence purposes, and civilian AI, which primarily seeks to improve quality of life and economic productivity.1 This paper undertakes a thorough examination of contemporary advancements, regulatory structures

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Rozprawy doktorskie na temat "AI (Artificial Intelligence) tibbiyotda"

Karlsson, Marcus. "Developing services based on Artificial Intelligence." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-73090.

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This thesis explores the development process of services based on artificial intelligence (AI) technology within an industrial setting. There has been a renewed interest in the technology and leading technology companies as well as many start-ups has integrated it into their market offerings. The technology´s general application potential for enhancing products and services along with the task automation possibility for improved operational excellence makes it a valuable asset for companies. However, the implementation rate of AI services is still low for many industrial actors. The research i

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Kim, Jee Won. "How speciesism affects artificial intelligence (AI) adoption intent." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/228673/1/Jee%20Won_Kim_Thesis.pdf.

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As there have been concerns about the excessive advancement of artificial intelligence (AI) surpassing humans, exploring reactions to AI as challenging human superiority is meaningful. By examining how the hierarchical and discriminative views on animals (speciesism) affects the views on non-living AI, this thesis has significant and novel contributions to AI adoption literature and AI product marketing.

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Fatima, Samar. "Mapping artificial intelligence affordances for the public sector." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/235926/1/Samar%2BFatime%2BThesis.pdf.

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This thesis explores the affordances of artificial intelligence (AI) for the public sector. The thesis consists of three studies that answer what, why and how questions of AI affordance actualization in public sector using a combination of primary and secondary data sources. In this thesis, the affordance theory lens is used to explore AI affordance perception and actualization for the public sector through three related studies. The perception of AI affordance is investigated in the first two studies. The third study designed and evaluated artefact for public agencies to actualize AI affordan

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Malmborn, Albin, and Linus Sjöberg. "Implementing Artificial intelligence." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20942.

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Den här uppsatsen har som syfte att undersöka huruvida det är möjligt att ta fram riktlinjer för vad privata verksamheter behöver ta i beaktande inför en planerad implementering av artificiell intelligens. Studien kommer belysa faktorer som hjälper företag att förstå vad som krävs inför en sådan omställning, men även de hinder som måste övervinnas för att lyckas. Studiens datainsamling har genomförts med två metoder, först en litteraturstudie sedan kvalitativa, semistrukturerade forskningsintervjuer. Dessa har sedan analyserats med vars en analysmetod som kompletterar varandra och därefter tol

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Edlund, Mattias. "Artificial Intelligence in Games : Faking Human Behavior." Thesis, Uppsala universitet, Institutionen för speldesign, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-258222.

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This paper examines the possibilities of faking human behavior with artificial intelligence in computer games, by using efficient methods that save valuable development time and also creates a more rich experience for the players of a game. The specific implementation of artificial intelligence created and discussed is a neural network controlling a finite-state machine. The objective was to mimic human behavior rather than simulating true intelligence. A 2D shooter game is developed and used for experiments performed with human and artificial intelligence controlled players. The game sessions

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Khan, Laiq. "Hybrid AI paradigms applied to power system damping controls." Thesis, University of Strathclyde, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273412.

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Svedberg, Peter O. S. "Steps towards an empirically responsible AI : a methodological and theoretical framework." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2004. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-246.

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<p>Initially we pursue a minimal model of a cognitive system. This in turn form the basis for the development of amethodological and theoretical framework. Two methodological requirements of the model are that explanation be from the perspective of the phenomena, and that we have structural determination. The minimal model is derived from the explanatory side of a biologically based cognitive science. Fransisco Varela is our principal source for this part. The model defines the relationship between a formally defined autonomous system and an environment, in such a way as to generate the world

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Rafiq, M. Y. "Artificial intelligence techniques for the structural design of buildings." Thesis, University of Strathclyde, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.382446.

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Casten, Carlberg Carl Johan, and Elsa Jerhamre. "Artificial Intelligence in Agriculture : Opportunities and Challenges." Thesis, Uppsala universitet, Avdelningen för datorteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-443576.

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Artificial Intelligence (AI) is increasingly used in different parts of society for providing decision support in various activities. The agricultural sector is anticipated to benefit from an increased usage of AI and smart devices, a concept called smart farming technologies. Since the agricultural sector faces several simultaneous challenges, such as shrinking marginals, complicated pan-European regulations, and demands to mitigate the environmental footprint, there are great expectations that smart farming will benefit both individual farmers and industry stakeholders. However, most previou

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Yang, Yikai. "Towards advanced application of artificial intelligence (AI) in epileptic seizure management." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/30022.

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Epilepsy has a significant adverse impact on almost 1% of people's health and well-being globally. Clinical EEG monitoring devices that enable seizure onset detection and prediction are crucial for epilepsy patients to manage their seizure disorders. In the past three decades, many epileptic seizure detecting, and prediction methods have been developed and reported high performance. However, most of them are retrospective and lack continental and multi-dataset generalization, transparency, and reproducibility, making them hard to implement into clinical utility. Besides, the seizure prediction

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Książki na temat "AI (Artificial Intelligence) tibbiyotda"

Alareeni, Bahaaeddin A. M., and Islam Elgedawy, eds. Artificial Intelligence (AI) and Finance. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39158-3.

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Winston, Patrick Henry. Artificial intelligence. 3rd ed. Addison-Wesley, 1993.

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Long, Guodong, Xinghuo Yu, and Sen Wang, eds. AI 2021: Advances in Artificial Intelligence. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97546-3.

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Nicholson, Ann, and Xiaodong Li, eds. AI 2009: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10439-8.

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Peng, Wei, Damminda Alahakoon, and Xiaodong Li, eds. AI 2017: Advances in Artificial Intelligence. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63004-5.

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Orgun, Mehmet A., and John Thornton, eds. AI 2007: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-76928-6.

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Wobcke, Wayne, and Mengjie Zhang, eds. AI 2008: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89378-3.

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Thielscher, Michael, and Dongmo Zhang, eds. AI 2012: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35101-3.

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McKay, Bob, and John Slaney, eds. AI 2002: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36187-1.

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Pfahringer, Bernhard, and Jochen Renz, eds. AI 2015: Advances in Artificial Intelligence. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26350-2.

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Części książek na temat "AI (Artificial Intelligence) tibbiyotda"

Dix, Alan, and Janet Finlay. "Explainable AI." In Artificial Intelligence, 2nd ed. Chapman and Hall/CRC, 2025. https://doi.org/10.1201/9781003082880-25.

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Chen, Robert H., and Chelsea Chen. "The AI Singularity." In Artificial Intelligence, 2nd ed. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003463542-33.

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Dix, Alan, and Janet Finlay. "Knowledge in AI." In Artificial Intelligence, 2nd ed. Chapman and Hall/CRC, 2025. https://doi.org/10.1201/9781003082880-3.

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Taulli, Tom. "AI Foundations." In Artificial Intelligence Basics. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5028-0_1.

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Wang, Peng, and Pete Smith. "Multicultural AI." In Multilingual Artificial Intelligence. Routledge, 2025. https://doi.org/10.4324/9781003470557-12.

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Moring, Andreas. "Artificial Intelligence." In AI on The Job. Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-64005-0_3.

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Ünsal, Mehmet Ça ˘glar. "Combining Blockchain and AI." In Artificial Intelligence. CRC Press, 2024. http://dx.doi.org/10.1201/9781003483571-12.

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Lele, Ajey. "Artificial Intelligence (AI)." In Disruptive Technologies for the Militaries and Security. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-3384-2_8.

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Charalabidis, Yannis. "Artificial Intelligence (AI)." In The Palgrave Encyclopedia of Interest Groups, Lobbying and Public Affairs. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-13895-0_129-1.

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Gilboa, Daniella. "Artificial Intelligence (AI)." In Textbook of Assisted Reproductive Techniques, 6th ed. CRC Press, 2023. http://dx.doi.org/10.1201/9781003268598-18.

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Streszczenia konferencji na temat "AI (Artificial Intelligence) tibbiyotda"

Phong, Cao Thanh, Do Thuy Huong, Duong Quoc Thinh, and Nguyen Thanh Hoang. "AI in Higher Education: Does AI Fear Hinder Learning Outcomes?" In 2024 Artificial Intelligence Revolutions (AIR). IEEE, 2024. https://doi.org/10.1109/air63653.2024.00013.

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Cao, Hui. "AI photonics." In Emerging Topics in Artificial Intelligence (ETAI) 2024, edited by Giovanni Volpe, Joana B. Pereira, Daniel Brunner, and Aydogan Ozcan. SPIE, 2024. http://dx.doi.org/10.1117/12.3032303.

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Khanna, Aseem, and Anuradha Bhusri. "Navigating AI Adoption – An “AI Verse” Framework for Enterprises." In 2025 IEEE Conference on Artificial Intelligence (CAI). IEEE, 2025. https://doi.org/10.1109/cai64502.2025.00279.

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Hilda, Jabanjalin, Jeevaa SV, Bhadhrinath U, and Darshini Solanki. "Artificial Intelligence (AI) Assisted Literature Review." In 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT). IEEE, 2025. https://doi.org/10.1109/idciot64235.2025.10914744.

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Minaudo, Massimiliano. "ARTIFICIAL INTELLIGENCE (AI) AND ART REVOLUTION." In 11th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2024. SGEM WORLD SCIENCE, 2024. https://doi.org/10.35603/sws.iscss.2024/fms11.26.

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Today we are assisting the increasing diffusion of text-to-image programs that are causing many debates relative to aesthetics and culture and therefore the images produced via a "prompt" defined by the user. In fact, there are disturbing questions behind all of which it hides and hides a banalization of the idea itself of art and consequently that of AI, however, it raises fundamental questions, such as: AI can effectively produce art or, at least, artistic content that is also relevant? Can AI be considered as a brush on a digital canvas? The aim of this research is to answer these questions

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van Oers, Alexander M., and Jorik T. Venema. "Anti-AI camouflage." In Artificial Intelligence for Security and Defence Applications II, edited by Henri Bouma, Yitzhak Yitzhaky, Radhakrishna Prabhu, and Hugo J. Kuijf. SPIE, 2024. http://dx.doi.org/10.1117/12.3031144.

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Barton, Richard, P. W. C. Prasad, Indra Seher, and Amr Elchouemi. "Artificial Intelligence (AI) in Cybersecurity and Inhibitors to AI Adoption." In 2024 International Conference on Intelligent Education and Intelligent Research (IEIR). IEEE, 2024. https://doi.org/10.1109/ieir62538.2024.10959777.

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Kim, Mira, Taylor Kim, Alexander Nguyen, Eduardo Nunez Gomez, and Jennifer Jin. "TinyTeller AI, an AI-based Adaptive Storytelling Application." In 2024 Artificial Intelligence x Humanities, Education, and Art (AIxHEART). IEEE, 2024. https://doi.org/10.1109/aixheart62327.2024.00017.

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Mehta, Yukta, Aishwarya Ashok, Deepthi Desharaju, Padhmavathy Cebolu Srinivasan, Sowmya Manchikanti, and Jerry Gao. "Smart City AI Traffic Cloud - City Traffic Analysis and Monitoring Using AI Models." In 2025 IEEE Conference on Artificial Intelligence (CAI). IEEE, 2025. https://doi.org/10.1109/cai64502.2025.00185.

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R, Vinu, and Jisy N. K. "Artificial Intelligence (AI) based Fast Billing System." In 2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS). IEEE, 2024. https://doi.org/10.1109/icicnis64247.2024.10823152.

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Raporty organizacyjne na temat "AI (Artificial Intelligence) tibbiyotda"

Bhatnagar, Ansh, and Devyani Gajjar. Policy implications of artificial intelligence (AI). Parliamentary Office of Science and Technology, 2024. http://dx.doi.org/10.58248/pn708.

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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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Blanchard, Alexander, and Laura Bruun. Bias in Military Artificial Intelligence. Stockholm International Peace Research Institute, 2024. https://doi.org/10.55163/cjft9557.

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To support states involved in the policy debate on military artificial intelligence (AI), this background paper provides a deeper examination of the issue of bias in military AI. Three insights arise. First, policymakers could usefully develop an account of bias in military AI that captures shared concern around unfairness. If so, ‘bias in military AI’ might be taken to refer to the systemically skewed performance of a military AI system that leads to unjustifiably different behaviours—which may perpetuate or exacerbate harmful or discriminatory outcomes—depending on such social characteristic

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Rinuado, Christina, William Leonard, Christopher Morey, Theresa Coumbe, Jaylen Hopson, and Robert Hilborn. Artificial intelligence (AI)–enabled wargaming agent training. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48419.

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Fiscal Year 2021 (FY21) work from the Engineer Research and Development Center Institute for Systems Engineering Research lever-aged deep reinforcement learning to develop intelligent systems (red team agents) capable of exhibiting credible behavior within a military course of action wargaming maritime framework infrastructure. Building from the FY21 research, this research effort sought to explore options to improve upon the wargaming framework infrastructure and to investigate opportunities to improve artificial intelligence (AI) agent behavior. Wargaming framework infrastructure enhancement

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Arnold, Zachary, and Ngor Luong. China’s Artificial Intelligence Industry Alliance. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/20200094.

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As part of its strategy to achieve global leadership in AI, the Chinese government brings together local governments, academic institutions, and companies to establish collaboration platforms. This data brief examines the role of China’s Artificial Intelligence Industry Alliance in advancing its AI strategy, and the key players in the Chinese AI industry.

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Brione, Patrick, and Devyani Gajjar. Artificial intelligence: ethics, governance and regulation. Parliamentary Office of Science and Technology, 2024. http://dx.doi.org/10.58248/hs51.

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Diaz-Herrera, Jorge L. Artificial Intelligence (AI) and Ada: Integrating AI with Mainstream Software Engineering. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada286093.

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Haddad, Ibrahim. Artificial Intelligence and Data in Open Source. The Linux Foundation, 2022. https://doi.org/10.70828/zaow8899.

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Artificial intelligence (AI) is no different from any other technology domain where OSS dominates. As with other industries, OSS adoption in the AI field has increased the use of open source in products and services, contributions to existing projects, the creation of projects fostering collaboration, and the development of new technologies. Artificial Intelligence and Data in Open Source reviews critical challenges in the open source AI ecosystem, discusses common characteristics across AI and data projects, and presents the role of the LF AI & Data Foundation in empowering innovators and

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Vilalta, Ricardo. A Gentle Introduction to Artificial Intelligence. Instats Inc., 2023. http://dx.doi.org/10.61700/ws1767apt7i86469.

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This workshop offers a comprehensive overview of AI, hands-on applications, and its relevance in academic research, with discussions on ethical considerations and future trends in AI. The workshop is designed for PhD students, professors, and professional researchers. An official Instats certificate of completion and 2 ECTS equivalent points are provided at the conclusion.

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Bhatnagar, Ansh, and Devyani Gajjar. How is artificial intelligence affecting society? Parliamentary Office of Science and Technology, 2024. http://dx.doi.org/10.58248/rr15.

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