Relevant bibliographies by topics / Artificial Intelligence (AI) Technologies

Contents

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

Academic literature on the topic 'Artificial Intelligence (AI) Technologies'

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

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Journal articles on the topic "Artificial Intelligence (AI) Technologies"

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Johnson, Jeffrey, Peter Denning, Andrew Odlyzko, et al. "Artificial Intelligence: Foundational Technologies of Artificial Intelligence." Ubiquity 2025, July (2025): 1–10. https://doi.org/10.1145/3747355.

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More than the 70 years since its emergence in the early 1950s, artificial intelligence (AI) is performing cognitive tasks traditionally considered the unique province of humans. This progress did not occur in a vacuum. AI emerged against a rich background of technologies from computer science and ideas about intelligence and learning from philosophy, psychology, logic, game theory, and cognitive science. We sketch out the enabling technologies for AI. They include search, reasoning, neural networks, natural language processing, signal processing and computer graphics, programming and conventio
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ALBAYRAK, Berkman, Gökhan ÖZDEMİR, Yeşim ÖLÇER US, and Emir YÜZBAŞIOĞLU. "Artificial Intelligence Technologies in Dentistry." Journal of Experimental and Clinical Medicine 38, SI-2 (2021): 188–94. http://dx.doi.org/10.52142/omujecm.38.si.dent.18.

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One of the most important actors in the digitization process of our age has been the applications of artificial intelligence (AI). While the weak and strong AI sub-concepts and the different AI models within them are being utilized in many fields such as education, industry and medicine today, the interest of the dentistry field, which has started its integration into the digital world with CAD/CAM technology, in AI is increasing day by day. In different branches of dentistry; AI provides services to clinicians and researchers in many fields such as disease diagnosis, evaluation of the occurre
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Avetisyana, A. I. "Trusted artificial intelligence." Вестник Российской академии наук 94, no. 3 (2024): 200–209. http://dx.doi.org/10.31857/s0869587324030039.

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In this paper we discuss the problem of creating trusted artificial intelligence (AI) technologies. Modern AI is based on machine learning and neural networks and is vulnerable to biases and errors. Efforts are made to establish standards for the development of trusted AI technologies, but they have not yet succeeded. AI technologies trust can only be achieved with the appropriate scientific and technological base and corresponding tools and techniques for countering attacks. We present the ISP RAS Trusted AI Research Center results and propose a work model that can ensure technological indepe
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Turdaliyevna, Berdiyeva Barno. "USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN LANGUAGE TEACHING." International Journal Of Literature And Languages 4, no. 11 (2024): 35–39. http://dx.doi.org/10.37547/ijll/volume04issue11-08.

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This article examines the role of artificial intelligence (AI) technologies in language teaching, exploring their applications, benefits, and limitations. It provides an overview of how AI-driven tools, such as automated speech recognition systems, adaptive learning platforms, and intelligent feedback mechanisms, enhance linguistic skills like pronunciation, writing, and grammar. The findings highlight measurable improvements in learner outcomes, increased engagement, and the potential for personalized instruction.
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Petrović, Miroslav, Dušan Mladenović, and Mladen Nedeljkov. "Artificial Intelligence on the Road or Road to Artificial Intelligence?" Put i saobraćaj 71, no. 2 (2025): 27–34. https://doi.org/10.31075/pis.71.02.05.

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Artificial intelligence (AI) is last years the hottest buzzword, started from the world of information technologies and spreading across various areas of everyday activities where it can be applied. However, reality is that AI is with us for the longer time than we initially think of. In this paper we explain foundations and definitions of AI, followed by comparation of AI applied in transport, called Intelligent Transportation Systems (ITS). Main areas of state of the art AI-based technologies in road transport and traffic applications, already in use or ready to be used, are presented. At th
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Ledziński, Łukasz, and Grzegorz Grześk. "Artificial Intelligence Technologies in Cardiology." Journal of Cardiovascular Development and Disease 10, no. 5 (2023): 202. http://dx.doi.org/10.3390/jcdd10050202.

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As the world produces exabytes of data, there is a growing need to find new methods that are more suitable for dealing with complex datasets. Artificial intelligence (AI) has significant potential to impact the healthcare industry, which is already on the road to change with the digital transformation of vast quantities of information. The implementation of AI has already achieved success in the domains of molecular chemistry and drug discoveries. The reduction in costs and in the time needed for experiments to predict the pharmacological activities of new molecules is a milestone in science.
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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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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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GHOSH, Sukti. "Organising for Artificial Intelligence (AI) technologies." Japan Social Innovation Journal 8, no. 1 (2019): 1–19. http://dx.doi.org/10.12668/jsij.8.1.

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Aizenberh, Tetiana. "Artificial intelligence technologies in international management." University Economic Bulletin 19, no. 1 (2024): 34–43. http://dx.doi.org/10.69587/ueb/1.2024.34.

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The study aims to investigate the effectiveness of artificial intelligence (AI) and determine its impact on the management processes of international companies. A methodology was created to optimise international business processes, including introducing AI to improve management efficiency, automate strategic planning, and analyse market data and forecast trends. The study addressed various aspects of AI technologies in international management, covering key areas such as business process automation, document processing, inventory management, logistics, customer communications, analytics and f
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Dissertations / Theses on the topic "Artificial Intelligence (AI) Technologies"

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Morad, Ayman Ahmed. "Geometric-based reasoning system for project planning utilizing AI and CAD technologies." Diss., This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-06062008-172127/.

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Uga, Brenda. "Towards Trustworthy AI : A proposed set of design guidelines for understandable, trustworthy and actionable AI." Thesis, Uppsala universitet, Institutionen för informatik och media, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385392.

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Artificial intelligence is used today in both everyday applications and specialised expert systems. In situations where relying on the output of the AI brings about the risk of negative consequences, it becomes important to understand why the AI system has produced its output. Previous research in human-computer trust has identified trust antecedents that contribute to formation of trust in an AI artifact, understanding of the system being one of them. In the context of Pipedrive, a sales management system, this thesis investigates how can AI predictions be designed as understandable and trust
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WoldeMichael, Helina Getachew. "Deployment of AI Model inside Docker on ARM-Cortex-based Single-Board Computer : Technologies, Capabilities, and Performance." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17267.

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IoT has become tremendously popular. It provides information access, processing and connectivity for a huge number of devices or sensors. IoT systems, however, often do not process the information locally, rather send the information to remote locations in the Cloud. As a result, it adds huge amount of data traffic to the network and additional delay to data processing. The later feature might have significant impact on applications that require fast response times, such as sophisticated artificial intelligence (AI) applications including Augmented reality, face recognition, and object detecti
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Liliequist, Erik. "Artificial Intelligence - Are there any social obstacles? : An empirical study of social obstacles." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229506.

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Artificial Intelligence is currently one of the most talked about topics with regard to technical development. The possibilities are enormous and it might revolutionize how we live our lives. There are talk of robots and AI removing the need for human workers. At the same time there are also those who view this as deeply troublesome. Either from an individual perspective, asking the question what we should do once we do not need to work more? Or from an existential perspective, raising issues of what responsibilities we have as humans and what it means to be human? This study does not aim to a
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Heidlund, Marcus. "IT-konsulters positionering inom artificiell intelligens nu och i framtiden." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-34693.

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Artificial intelligence is a concept based on making machines think. The disciplines that study this range from behavioral science to computer science and mathematics. The different approaches have contributed to categorize the field of artificial intelligence into different areas and the definitions of artificial intelligence are many. The aim of this study has been to investigate how IT consulting companies define and position themselves against artificial intelligence. To achieve this goal, literature on the subject has been studied to define artificial intelligence and to categorize the di
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Josimovic, Aleksandra. "AI as a Radical or Incremental Technology Tool Innovation." Thesis, KTH, Industriell Management, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230603.

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As researchers found that throughout the history a common challenge for companies across different industries, when it comes to leveraging and capturing value from a technology innovation is strongly influenced by the company’s dominant business model, an established framework through which assessment takes place. The overall purpose of this study is to provide a deeper understanding of the role that company's dominant business model has on the assessment of the impact that new technology innovation, in this case, AI, will have on the company and the market on which company operates. This thes
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Chollet, Nicolas. "Embedded-AI-enabled semantic IoT platform for agroecology." Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG078.

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L'agriculture moderne nécessite une profonde transformation pour répondre aux défis du développement durable tout en nourrissant qualitativement et quantitativement la population mondiale croissante. Dans cette optique, les agriculteurs adoptent le "Smart Farming" ou agriculture intelligente. C'est une méthode agricole qui utilise la technologie pour améliorer l'efficacité, la productivité et la durabilité de la production agricole. Elle englobe l'usage de capteurs, l'internet des objets (IoT), l'Intelligence Artificielle (IA), l'analyse de données, la robotique et divers autres outils numériq
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Schultze, Jakob. "Digital transformation: How does physician’s work become affected by the use of digital health technologies?" Thesis, Mittuniversitetet, Institutionen för data- och systemvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-41260.

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Digital transformation is evolving, and it is driving at the helm of the digital evolution. The amount of information accessible to us has revolutionized the way we gather information. Mobile technology and the immediate and ubiquitous access to information has changed how we engage with services including healthcare. Digital technology and digital transformation have afforded people the ability to self-manage in different ways than face-to-face and paper-based methods through different technologies. This study focuses on exploring the use of the most commonly used digital health technologies
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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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Books on the topic "Artificial Intelligence (AI) Technologies"

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Nikolinakos, Nikos Th. EU Policy and Legal Framework for Artificial Intelligence, Robotics and Related Technologies - The AI Act. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27953-9.

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Grebenyuk, Elena, Darya Danielyan, Sarkis Danielyan, and Sergey Kramarov. Artificial Intelligence in Education: Opportunities, Methods, and Recommendations for Educators. Publishing Center RIOR, 2024. http://dx.doi.org/10.29039/02147-7.

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The training and practical manual covers the main concepts and methods of utilizing artificial intelligence (AI) technologies in educational activities. The primary goal of this work is to provide educators in educational institutions with knowledge about the possibilities of applying AI in teaching, as well as practical recommendations for integrating these technologies into classroom activities. The publication is designed to develop educators' competencies in the field of artificial intelligence to enhance the quality of teaching and student performance. The book describes the use of AI to
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Sarjoughian, Hessam S. Discrete Event Modeling and Simulation Technologies: A Tapestry of Systems and AI-Based Theories and Methodologies. Springer New York, 2001.

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G, Maglogiannis Ilias, ed. Emerging artificial intelligence applications in computer engineering: Real word AI systems with applications in eHealth, HCI, information retrieval and pervasive technologies. IOS Press, 2007.

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Poil. AI Pudijŭm: In'gong chinŭng edo pulsŏng i chonjae halkka? Pulgyojŏk kwanchŏm ŭro para pon in'gong chinŭng ŭi hyŏnjae wa mirae = AI Buddhism. Tam aen Puksŭ, 2021.

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Raje, Rajeev R., Farookh Hussain, and R. Jagadeesh Kannan, eds. Artificial Intelligence and Technologies. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6448-9.

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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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Pinkwart, Niels, and Sannyuya Liu, eds. Artificial Intelligence Supported Educational Technologies. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41099-5.

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Dagur, Arvind, Dhirendra Kumar Shukla, Nazarov Fayzullo Makhmadiyarovich, Akhatov Akmal Rustamovich, and Jabborov Jamol Sindorovich. Artificial Intelligence and Information Technologies. CRC Press, 2024. http://dx.doi.org/10.1201/9781003510833.

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Dagur, Arvind, Dhirendra Kumar Shukla, Nazarov Fayzullo Makhmadiyarovich, Akhatov Akmal Rustamovich, and Jabborov Jamol Sindorovich. Artificial Intelligence and Information Technologies. CRC Press, 2024. http://dx.doi.org/10.1201/9781032700502.

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Book chapters on the topic "Artificial Intelligence (AI) Technologies"

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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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Mutambara, Arthur G. O. "Artificial Intelligence (AI) and Related Technologies." In Artificial Intelligence. CRC Press, 2025. https://doi.org/10.1201/9781003511014-3.

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Li, Mohan, and Binxing Fang. "Frontiers of AI Technologies." In Artificial Intelligence Security and Safety. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-9263-7_11.

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Vermesan, Ovidiu, Kai Vorm Walde, Roy Bahr, et al. "Edge AI LoRa Mesh Technologies." In Advancing Edge Artificial Intelligence. River Publishers, 2024. http://dx.doi.org/10.1201/9781003478713-1.

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Scherrer, Jean-Raoul. "AI technologies: Conditions for further impact." In Artificial Intelligence in Medicine. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0029432.

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Barone, Ada Maria, and Emanuela Stagno. "AI-powered Self-service Technologies." In Artificial Intelligence along the Customer Journey. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-48792-7_2.

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Bajaj, Dinesh Kumar, and Pandi Siddharth. "Artificial Intelligence (AI) in Electrical Vehicles." In Recent Advances in Energy Harvesting Technologies. River Publishers, 2023. http://dx.doi.org/10.1201/9781003440383-3.

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Aishwarya, R., and G. Mathivanan. "Fusion of Edge Computing in AI-Enabled Embedded Technologies." In Embedded Artificial Intelligence. Chapman and Hall/CRC, 2025. https://doi.org/10.1201/9781003481089-3.

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Charan, K. S. Maanav, Alenkar K. Aswin, K. S. Ackshaya Varshini, and S. Kirthica. "Implementation of Pupil Dilation in AI-Based Emotion Recognition." In Artificial Intelligence and Technologies. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6448-9_45.

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Milli, Mehmet. "Ethical Dimensions of Artificial Intelligence Balancing Innovation and Responsibility." In AI and Emerging Technologies. CRC Press, 2024. http://dx.doi.org/10.1201/9781003501152-10.

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Conference papers on the topic "Artificial Intelligence (AI) Technologies"

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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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Yadav, Pinki, Himanshu Deep, Prashant Sharma, Pratap Singh, and Mohd Zaid. "Artificial Intelligence (AI) Based Air Purifier System." In 2024 International Conference on Communication, Computing and Energy Efficient Technologies (I3CEET). IEEE, 2024. https://doi.org/10.1109/i3ceet61722.2024.10993747.

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Bhushan, Sushant, and Sarvottam Dixit. "Explainable AI for Shaping Adoption of Artificial Intelligence." In 2024 Asian Conference on Intelligent Technologies (ACOIT). IEEE, 2024. https://doi.org/10.1109/acoit62457.2024.10939416.

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Voronkova, Valentyna, Vitalina Nikitenko, Roman Oleksenko, T�t�ana Khrystova, Vladyslav Pyurko, and Halina Harbar. "USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES TO ACHIEVE THE GOALS OF ENVIRONMENTALLY SUSTAINABLE DEVELOPMENT." In SGEM International Multidisciplinary Scientific GeoConference. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024v/6.2/s26.50.

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This article aims to develop a concept for utilizing artificial intelligence (AI) technologies to achieve environmentally sustainable development goals, leveraging a suite of technologies for environmental protection and natural resource management in the digital age. The study employs risk-oriented approaches, system analysis, and modeling to explore the application of AI in attaining environmental sustainability objectives. Research Results: 1.The study presents an analysis of AI technologies applied to achieving environmentally sustainable development goals. 2. It formulates a concept for t
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Dorner, Aniko. "EXECUTIVE HOT SEAT ARTIFICIAL INTELLIGENCE (AI): TRAINING TOP NEGOTIATORS WITH AI-DRIVEN SIMULATIONS." In 17th International Conference on Education and New Learning Technologies. IATED, 2025. https://doi.org/10.21125/edulearn.2025.0746.

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Soundarapandian, Ramkumar. "Artificial intelligence (AI) Powered Strategies for optimizing A/B Testing." In 2024 Asian Conference on Intelligent Technologies (ACOIT). IEEE, 2024. https://doi.org/10.1109/acoit62457.2024.10939722.

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Jha, Richa, Girish Paliwal, and Bhavnesh Kumar Jha. "AI-Powered Resume Builder: Enhancing Job Applications with Artificial Intelligence." In 2025 3rd International Conference on Disruptive Technologies (ICDT). IEEE, 2025. https://doi.org/10.1109/icdt63985.2025.10986431.

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Urbano López de Meneses, Beatriz, Deiyali Angélica Carpio Pacheco, Ana María Bartolomé Sualdea, and Fernando Gonzalez-Andrés. "GENERATING WITH ARTIFICIAL INTELLIGENCE (AI) IN AGRICULTURAL ENGINEERING HIGHER EDUCATION." In 17th International Conference on Education and New Learning Technologies. IATED, 2025. https://doi.org/10.21125/edulearn.2025.1162.

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Tripathi, Sachin, Akhilesh Tiwari, Satendar Singh, Amitabh Roy, Jagdeep Singla, and Rishi Chaudhry. "Analyzing the Consumer Buying Behavior by Adapting Artificial Intelligence (AI)." In 2024 International Conference on Healthcare Innovations, Software and Engineering Technologies (HISET). IEEE, 2024. http://dx.doi.org/10.1109/hiset61796.2024.00110.

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Kaur, Harleen, Virat Chauhan, Shikha Bhalla, and Shipra Raheja. "An Analysis of Genetic Disorders using Artificial Intelligence (AGD-AI)." In 2025 Seventh International Conference on Computational Intelligence and Communication Technologies (CCICT). IEEE, 2025. https://doi.org/10.1109/ccict65753.2025.00088.

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Reports on the topic "Artificial Intelligence (AI) Technologies"

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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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JOSI, Editor. Artificial Intelligence and Machine Learning: Transforming Industrial Optimization. Industrial Engineering Department, Faculty of Engineering, Universitas Andalas, 2025. https://doi.org/10.25077/03032025.

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The integration of artificial intelligence (AI) and machine learning (ML) into industrial systems is rapidly reshaping the way industries operate, optimize, and innovate. As industries grow more complex and data-driven, the ability to harness AI and ML technologies offers unprecedented efficiency, precision, and adaptability. In the pursuit of optimization, these technologies are no longer just experimental tools but have become essential drivers of transformation.
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Felix, Juri, and Laura Webb. Use of artificial intelligence in education delivery and assessment. Parliamentary Office of Science and Technology, 2024. http://dx.doi.org/10.58248/pn712.

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This POSTnote considers how artificial intelligence (AI) technologies can be used by educators and learners in schools, colleges and universities. Artificial intelligence technologies that can be used in education have developed rapidly in recent years. This has been driven in part by advancements of generative AI, which is now capable of performing a wide range of tasks including the production of realistic content such as text, images, audio and video. Artificial intelligence tools have the potential to provide different ways of learning and to help educators with lesson planning, marking an
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Flynn, Carrick. Recommendations on Export Controls for Artificial Intelligence. Center for Security and Emerging Technology, 2020. http://dx.doi.org/10.51593/20190001.

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What U.S. export controls on AI-relevant technologies would help further aims such as stability and human rights abroad without impeding U.S. R&D? This issue brief assesses where such controls will be effective, ineffective or even damaging to the interests of the United States and its allies.
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Christie, Lorna. AI in policing and security. Parliamentary Office of Science and Technology, 2021. http://dx.doi.org/10.58248/hs27.

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Buchanan, Ben. A National Security Research Agenda for Cybersecurity and Artificial Intelligence. Center for Security and Emerging Technology, 2020. http://dx.doi.org/10.51593/2020ca001.

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Machine learning advances are transforming cyber strategy and operations. This necessitates studying national security issues at the intersection of AI and cybersecurity, including offensive and defensive cyber operations, the cybersecurity of AI systems, and the effect of new technologies on global stability.
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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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Rudd, Ian. Leveraging Artificial Intelligence and Robotics to Improve Mental Health. Intellectual Archive, 2022. http://dx.doi.org/10.32370/iaj.2710.

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Artificial Intelligence (AI) is one of the oldest fields of computer science used in building structures that look like human beings in terms of thinking, learning, solving problems, and decision making (Jovanovic et al., 2021). AI technologies and techniques have been in application in various aspects to aid in solving problems and performing tasks more reliably, efficiently, and effectively than what would happen without their use. These technologies have also been reshaping the health sector's field, particularly digital tools and medical robotics (Dantas & Nogaroli, 2021). The new real
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Spirin, Oleg, and Mariia Shyshkina. Artificial Intelligence in Education and Educational Research: Challenges, Risks, and Prospects for Integration. Institute for Digitalisation of Education of the NAES of Ukraіne, 2025. https://doi.org/10.33407/lib.naes.id/eprint/745119.

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Artificial intelligence (AI) is playing an increasingly important role in education, contributing to the personalization of learning, the automation of administrative processes and educational research. The use of AI allows for increased learning efficiency, improved management of educational resources and improved analytics of educational data. However, the integration of AI into education is accompanied by challenges related, in particular, to technical limitations, pedagogical risks, ethical aspects and security issues. Future research should focus on the integration of AI and augmented and
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King, Wayne. Barriers to Adoption of Artificial Intelligence in Metal Additive Manufacturing. SAE International, 2025. https://doi.org/10.4271/epr2025001.

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<div class="section abstract"><div class="htmlview paragraph">Artificial intelligence (AI) is poised to significantly impact metal additive manufacturing (AM). Understanding how one might use AI in AM is challenging because AM experts are not AI experts, nor the other way around. This document introduces AI in AM and guides researchers in accessing relevant literature. It also discusses the hype surrounding AI in AM, the rush to publish peer-reviewed papers that use AI in AM, and the resulting uneven quality of the literature. Conclusions regarding the application of AI in both lar
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