Relevant bibliographies by topics / Trends in AI

Contents

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

Academic literature on the topic 'Trends in AI'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Trends in AI"

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Mucsková, Monika. "Transforming Banking with Artificial Intelligence." Trends Economics and Management 18, no. 42 (2024): 21–37. http://dx.doi.org/10.13164/trends.2024.42.21.

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Purpose of the article: The purpose of this article is to provide a comprehensive analysis of the role of artificial intelligence (AI) in the banking sector, focusing on its applications, challenges, and implications. By synthesizing existing research and empirical studies, the article aims to inform researchers about the transformative potential and inherent challenges of AI-driven innovation in banking. Methodology/methods: Using a systematic review approach, the relevant literature on AI integration in banking was identified from electronic databases and leading corporate research departmen
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Alok, Kumar. "AI-Driven Market Trend Analysis." Journal of Research and Innovation in Technology, Commerce and Management Volume 2, Issue 4 (2025): 2454–61. https://doi.org/10.5281/zenodo.15301748.

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Artificial Intelligence (AI) has changed market trend analysis through real-time scanning and accurate forecasting of trends. AI technologies, such as machine learning, natural language processing (NLP) and big data analytics, allow organizations to uncover trends, take actions and displace the constraints of traditional methods. This research studies AI-oriented methods, including sentiment analysis, deep learning and predictive modeling. It demonstrates the ability of AI to process significant amounts of data, the areas AI might be used and discusses limitations, such as data quality issues,
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Li, Meng, Ronghao Chu, Abu Reza Md Towfiqul Islam, Yuelin Jiang, and Shuanghe Shen. "Attribution Analysis of Long-Term Trends of Aridity Index in the Huai River Basin, Eastern China." Sustainability 12, no. 5 (2020): 1743. http://dx.doi.org/10.3390/su12051743.

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This paper aims to combinedly investigate the spatiotemporal trends of precipitation (Pre), reference evapotranspiration (ET0), and aridity index (AI) by employing nonparametric methods based on daily datasets from 137 meteorological stations during 1961–2014 in the Huai River Basin (HRB). The dominant factors influencing ET0 and AI trends were also explored using the detrended and differential equation methods. Results show that (1) Pre, ET0, and AI were much larger in summer than in other seasons, and AI had a nonsignificant increasing trend in annual time scale, while Pre and ET0 exhibited
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Y, Sanjai, and Kotteswaran D. "Emerging Trends in Marketing and AI." International Journal of Research Publication and Reviews 6, no. 4 (2025): 6074–80. https://doi.org/10.55248/gengpi.6.0425.15197.

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Bahcecik, Serif Onur. "I TRENDS Security Politics and Artificial Intelligence: Key Trends and Debates." International Political Science Abstracts 73, no. 3 (2023): 329–38. http://dx.doi.org/10.1177/00208345231182638.

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This article delves into the academic discourse surrounding the security implications of artificial intelligence (AI). It highlights the lack of consensus on what AI truly encompasses, which poses challenges for regulating the technology. While some express concerns about the security risks of AI, there are proponents of ethical AI who believe in the possibility of programming the technology to operate ethically, and supporters of AI for Good (or AI for Social Good) who see potential for AI to address sustainable development challenges. Scholars agree that AI will have a significant impact on
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Cho, Bo ram. "Research Trend of University AI-based education." Korean Association For Learner-Centered Curriculum And Instruction 25, no. 1 (2025): 447–62. https://doi.org/10.22251/jlcci.2025.25.1.447.

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Objectives This study aims to analyze research trends in university AI-based education and provide implications for future university AI-based education research. Methods This study was conducted from August 2024 to October 2024. This study analyzed previous studies to set analysis categories and collected 60 domestic academic journals as analysis target papers. This study analyzed and described the research period, research type, research content, major field, related variables, class type, class period, AI tools, etc. Results First, the most research on university AI utilization was conducte
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Chavan Shruti, Pardeshi Janhavi, Pingle Shubhangi, Sonawane Raksha, and Vipin K Wani. "AI Driven Fashion Trend Prediction." international journal of engineering technology and management sciences 9, no. 2 (2025): 254–66. https://doi.org/10.46647/ijetms.2025.v09i02.033.

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Fashion manufacturers and brands are unaware of what customers desire because they still dependon old school manual methods. This challenge becomes more acute with Generation Z, who aredemanding one-of-a-kind and environmentally-friendly shopping experiences. Using machinelearning to improve the preciseness of the categorical results of fashion trends can be the solutionfor the problems discussed above. It predicts precisely, relying on past sale data, social mediatrends, and extra components to stay ahead of the businesses. It can process data in real-time,allowing it to continuously learn an
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Aalijah, Kanwal. "Utilizing Social Media Analytics to Detect Trends in Saudi Arabia’s Evolving Market." International Journal of Scientific Research and Management (IJSRM) 13, no. 02 (2025): 1936–43. https://doi.org/10.18535/ijsrm/v13i02.ec01.

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Saudi Arabia' faced a swift economic growth and societal transformation under Vision 2030. This offers a unique opportunity to track emerging trends in the region, which will ultimately pave the way for new business and investment possibilities. This paper explores how AI and social media analytics can identify and track trends across sectors such as construction, food and beverage, tourism, technology, and entertainment thereby helping the businesses make informed decisions. By leveraging a tailored AI-driven methodology, we analyzed millions of social media posts each month, classifying disc
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Yazdani, Ali, and Shoaleh Darbani. "The Impact of AI on Trends, Design, and Consumer Behavior." AI and Tech in Behavioral and Social Sciences 1, no. 4 (2023): 4–10. http://dx.doi.org/10.61838/kman.aitech.1.4.2.

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This study aims to explore the multifaceted impact of AI on trends, design innovations, and shifts in consumer behavior. It seeks to identify the main themes that characterize AI's influence across these domains, providing insights into how AI is reshaping consumer interactions, design practices, and market dynamics. Utilizing a qualitative research approach, the study conducted semi-structured interviews with 27 participants from various professional backgrounds, including digital design, AI research, trend analysis, consumer psychology, and product development. Thematic analysis was employed
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Jose Miguel, Penalva Tebar, та Ken Nah. "멀티모달 및 생성 AI를 통한 디자인 연구방법: 민족지학적 방법론을 데이터 기반 분석으로 강화하기". Korea Institute of Design Research Society 8, № 4 (2023): 27–38. http://dx.doi.org/10.46248/kidrs.2023.4.27.

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This research examines the application of Multimodal and Generative AI in analyzing interior design trends within the South Korean market. The objective is to enhance traditional ethnographic research methods with AI's quantitative capabilities, offering a more comprehensive understanding of design preferences. This methodology uses AI tools to systematically analyze and categorize design elements from a large dataset of interior design images sourced from a relevant online platform. This process involves extracting key visual trends and patterns using AI-driven semantic analysis and clusterin
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Dissertations / Theses on the topic "Trends in AI"

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Nystad, Marcus, and Lukas Lindblom. "Artificial Intelligence in the Pulp and Paper Industry : Current State and Future Trends." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279574.

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The advancements in Artificial Intelligence (AI) have received large attention in recent years and increased awareness has led to massive societal benefits and new opportunities for industries able to capitalize on these emerging technologies. The pulp and paper industry is going through one of the most considerable transformations into Industry 4.0. Integrating AI technology in the manufacturing process of the pulp and paper industry has shown great potential, but there are uncertainties which direction companies are heading. This study is an investigation of the pulp and paper industry in co
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Li, Wenda. "Understanding the state-of-the-art, emerging trends and impacts of smart homes on future living." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/230960/1/Wenda_Li_Thesis.pdf.

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This MPhil thesis provides a macroscopic overview of existing smart home research to generate an understanding of its evolution, existing practices, emerging trends, and adoption matters in the context of 'shifting to smart living'. It may assist practitioners, researchers, policymakers and planners to recognise the potential of smart homes in shaping future living, cities, and societies, and help to address the potential influences and challenges that may be posed by this innovation.
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Eaton, Joel. "Trends in Advertising: How the Rise in Artificial Intelligence May Influence the Field of Content Strategy." Digital Commons @ East Tennessee State University, 2020. https://dc.etsu.edu/etd/3767.

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Whereas prior research on artificial intelligence has dealt with automation in fields like medicine, engineering, and computer science, this research study seeks to answer the question, “To what extent can AI be creative in the context of content strategy?” To answer this, this study employs content analysis using 16 online news and blog articles from primarily marketing organizations to identify and explain key variables surrounding the relationship between the computer and the creative professional. This study has found that the core belief that AI will play the future role of creative assis
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Roos, Sofie. "Chatbots in education : A passing trend or a valuable pedagogical tool?" Thesis, Uppsala universitet, Institutionen för informatik och media, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-355054.

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Digitalizing education and reinventing the learning experience is one of the big challenges in this age of information. In the eld of E-learning, the application of a chatbot as part of the education has shown interesting potential, both as a teaching and administrative tool. Chatbots have been 'trending' for a few years and quite a few papers examining it in the educational sector has been published, albeit very little interest seems to have been given to the summation of this knowledge. In an attempt to fill the knowledge gap this thesis performed a literature study to examine the documented
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Ghibellini, Alessandro. "Trend prediction in financial time series: a model and a software framework." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24708/.

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The research has the aim to build an autonomous support for traders which in future can be translated in an Active ETF. My thesis work is characterized for a huge focus on problem formulation and an accurate analysis on the impact of the input and the length of the future horizon on the results. I will demonstrate that using financial indicators already used by professional traders every day and considering a correct length of the future horizon, it is possible to reach interesting scores in the forecast of future market states, considering both accuracy, which is around 90% in all the experi
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Abi, kanaan Marianne. "AI-Enhanced Emergency Call Handling : Development of Multimodal Machine Learning Models." Electronic Thesis or Diss., Besançon, Université Marie et Louis Pasteur, 2025. http://www.theses.fr/2025PAST2003.

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Les centres d’appels d’urgence jouent un rôle essentiel dans la gestion des situations de crise, car ils sont les intervenants de première ligne qui facilitent l’intervention, déterminant souvent la différence entre la vie et la mort. Les progrès récents et rapides de l’intelligence artificielle (IA) ne peuvent être négligés, car ils ont ouvert de nouveaux horizons pour améliorer les capacités des services d’urgence. Avec des applications d’IA adéquates, il est possible d’aider les centres d’appels d’urgence à améliorer l’efficacité et la précision de la gestion des urgences, sauvant ainsi pot
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Ghezzi, Francesco. "Il restauro del Monumento ai Caduti (1932) di Forlì: rilievo del degrado e indagini diagnostiche." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Il lavoro di Tesi si occupa del restauro sul Monumento ai Caduti di Forlì, programmato in seguito ad un intervento di pulitura del bene non del tutto adeguato. Il presente elaborato include molteplici aspetti d'indagine sull'opera: un breve studio sulle problematiche degli interventi sul moderno, un approfondimento storico sulla nascita dell’opera e sulla sua composizione, un accurato rilievo dei materiali e del degrado e, infine, una campagna di indagini diagnostiche. Le considerazioni sul restauro del moderno hanno permesso di sottolineare il valore e l’importanza di un approccio consono a q
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Thorén, Daniel. "Radar based tank level measurement using machine learning : Agricultural machines." Thesis, Linköpings universitet, Programvara och system, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176259.

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Agriculture is becoming more dependent on computerized solutions to make thefarmer’s job easier. The big step that many companies are working towards is fullyautonomous vehicles that work the fields. To that end, the equipment fitted to saidvehicles must also adapt and become autonomous. Making this equipment autonomoustakes many incremental steps, one of which is developing an accurate and reliable tanklevel measurement system. In this thesis, a system for tank level measurement in a seedplanting machine is evaluated. Traditional systems use load cells to measure the weightof the tank however
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Lemaitre, Juliette. "Vers une simplification de la conception de comportements stratégiques pour les opposants dans les jeux vidéo de stratégie." Thesis, Compiègne, 2017. http://www.theses.fr/2017COMP2343/document.

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Cette thèse aborde la problématique de la création d’intelligences artificielles (IA) contrôlant la prise de décision haut-niveau dans les jeux de stratégie. Ce type de jeux propose des environnements complexes nécessitant de manipuler de nombreuses ressources en faisant des choix d’actions dépendant d’objectifs à long terme. La conception de ces IA n’est pas simple car il s’agit de fournir une expérience pour le joueur qui soit divertissante et intéressante à jouer. Ainsi, le but n’est pas d’obtenir des comportements d’IA imbattables, mais plutôt de refléter différents traits de personnalités
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Repík, Tomáš. "Evoluční návrh využívající gramatickou evoluci." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363805.

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p, li { white-space: pre-wrap; } Evoluce v přírodě slouží jako zdroj inspirace pro tuto práci . Základní myšlenkou je využití generativní síly gramatik v kombinaci s evolučním přístupem . Nabyté znalosti jsou aplikovány na hledání strategií chování v rozmanitých prostředích . Stromy chování jsou modelem , který bývá běžně použit na řízení rozhodování různých umělých inteligencí . Tato práce se zabývá hledáním stromů chování , které budou řídit jedince řešící nasledující dva problémy : upravenou verzi problému cesty koněm šachovnicí a hraní hry Pirátské kostky . Při hledání strategie hráče kost
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Books on the topic "Trends in AI"

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Paidi, Gangamohan, Suryakanth V. Gangashetty, and Ashwini Kumar Varma, eds. Recent Trends in AI Enabled Technologies. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59114-3.

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Makarenko, Elena N., Natalia G. Vovchenko, and Evgeny N. Tishchenko, eds. Technological Trends in the AI Economy. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7411-3.

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Raza, Khalid, Naeem Ahmad, and Deepak Singh, eds. Generative AI: Current Trends and Applications. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-8460-8.

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Paidi, Gangamohan, Ashwini Kumar Varma, Sudarsana Reddy Kadiri, and Tharun Kumar Reddy Bollu, eds. Recent Trends in AI Enabled Technologies. Springer Nature Switzerland, 2026. https://doi.org/10.1007/978-3-031-92041-7.

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Al-Sharafi, Mohammed A., Mostafa Al-Emran, Moamin A. Mahmoud, and Ibrahim Arpaci, eds. Current and Future Trends on AI Applications. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-75091-5.

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Gayathri, N., S. Rakesh kumar, and Alvaro Rocha, eds. Revolution with Generative AI: Trends and Techniques. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-91660-1.

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Singh, Tanu, Soumi Dutta, Sonali Vyas, and Álvaro Rocha, eds. Explainable AI for Education: Recent Trends and Challenges. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-72410-7.

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Majumder, Soumi, and Bitan Misra. Analysing Trends and Patterns in Employee Engagement Through AI. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4496-4.

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Lin, Kang-Ping, Ren-Shyan Liu, and Bang-Hung Yang, eds. Future Trends and Challenges of Molecular Imaging and AI Innovation. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92786-8.

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European Workshop on Planning (2nd 1993 Vadstena, Sweden). Current trends in AI planning: EWSP '93, 2nd European Workshop on Planning. IOS Press, 1994.

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Book chapters on the topic "Trends in AI"

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Karim, Ramin, Diego Galar, and Uday Kumar. "Hypes and Trends in Industry." In AI Factory. CRC Press, 2023. http://dx.doi.org/10.1201/9781003208686-3.

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Campos Zabala, Francisco Javier. "Key Trends in AI." In Grow Your Business with AI. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9669-1_6.

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Banafa, Ahmed. "Emerging Trends in AI." In Artificial Intelligence in Action. River Publishers, 2025. https://doi.org/10.1201/9788770046213-26.

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Biçer, Işık. "Future Trends: AI and Beyond." In Springer Texts in Business and Economics. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30347-0_9.

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Pilon, Ricardo V. "Trends and Debates in AI." In Artificial Intelligence in Commercial Aviation. Routledge, 2023. http://dx.doi.org/10.4324/9781003018810-27.

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Ooi, Kok Loang. "Emerging Trends and AI Technologies." In Demystifying Behavioral Finance. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-96-2690-8_9.

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Ching, Vivian, and Dinesh Mothi. "Future Perspectives and Trends in AI-Creative Collaborations." In AI for Creatives. Auerbach Publications, 2025. https://doi.org/10.1201/9781003533016-9.

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Mishra, Abhishek. "Future Trends and Emerging Technologies." In Scalable AI and Design Patterns. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0158-7_11.

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Ali, Zawar, Syed Saad, Kumeel Rasheed, and Syed Ammad. "AI Future Perspectives and Trends in Construction." In AI in Material Science. CRC Press, 2024. http://dx.doi.org/10.1201/9781003438489-11.

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Gawande, Rupali P., and Swati John. "Trends of AI in Human Resources." In AI and Innovation in HRM. Routledge, 2025. https://doi.org/10.4324/9781003522157-18.

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Conference papers on the topic "Trends in AI"

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Franchi, Fabio, Alessandra Galassi, and Fabio Graziosi. "AI-Assisted GIS Toward GEO-AI: Trends and Innovations Overview." In 2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI). IEEE, 2024. http://dx.doi.org/10.1109/rtsi61910.2024.10761798.

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Alijoyo, Franciskus Antonius, L. Chandra Sekhar Reddy, V. Selvi, Rekha Murugan, Shital Kakad, and A. Balakumar. "Transforming Business with Generative AI Models Applications Trends." In 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA). IEEE, 2024. https://doi.org/10.1109/icaiqsa64000.2024.10882293.

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Neelamegam, Pavithra, and S. Jaya Nirmala. "Recent Trends in Legal AI: A Comprehensive Review." In 2025 Third International Conference on Augmented Intelligence and Sustainable Systems (ICAISS). IEEE, 2025. https://doi.org/10.1109/icaiss61471.2025.11042154.

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Phatangare, Sheetal, Sneha Jain, Siddhartha Chakrabarty, Shrey Chougule, and Somrath Bisen. "LexiEase AI : An AI Powered Dyslexic Support System." In 2025 5th International Conference on Trends in Material Science and Inventive Materials (ICTMIM). IEEE, 2025. https://doi.org/10.1109/ictmim65579.2025.10987997.

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Balážová, Kristýna, Štěpán Galle, Anna Kandlová, and Tomáš Bendl. "AI IN ENVIRONMENTAL EDUCATION: TOOLS, TRENDS, AND FUTURE DIRECTIONS." In Public recreation and landscape protection - with respect hand in hand… Mendel University in Brno, 2025. https://doi.org/10.11118/978-80-7701-025-2-0028.

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Jha, Surbhi, Neeta Singh, and M. A. Ansari. "AI-Based Cancer Risk Assessment Models: Current Trends Overview." In 2025 International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI). IEEE, 2025. https://doi.org/10.1109/ic3ecsbhi63591.2025.10991254.

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Newendorp, Amanda K., Stephen B. Gilbert, and Michael C. Dorneich. "User's AI Expertise (AIX): Measuring One's Mental Model of an AI System." In 2024 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC). IEEE, 2024. https://doi.org/10.1109/etncc63262.2024.10767482.

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Khan, Zainab, and Sarita Ambadekar. "AI-Powered Collective Decision-Making Systems and the Future Trends." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10725853.

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Shirinabadi, Parisa, Amirreza Samadi Bonab, and Khadim Moin Siddiqui. "AI and IoT in Energy Conservation: Challenges, Opportunities, and Trends." In 2025 12th Iranian Conference on Renewable Energies and Distributed Generation (ICREDG). IEEE, 2025. https://doi.org/10.1109/icredg66184.2025.10966126.

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Abhinash, Nalagarla Chiru, Hindumathy N, Eeda Ramakrishna Reddy, and V. Usha. "Automated Data Analyser using Generative AI." In 2025 8th International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2025. https://doi.org/10.1109/icoei65986.2025.11013368.

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Reports on the topic "Trends in AI"

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Acharya, Ashwin, Max Langenkamp, and James Dunham. Trends in AI Research for the Visual Surveillance of Populations. Center for Security and Emerging Technology, 2022. http://dx.doi.org/10.51593/20200097.

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Progress in artificial intelligence has led to growing concern about the capabilities of AI-powered surveillance systems. This data brief uses bibliometric analysis to chart recent trends in visual surveillance research — what share of overall computer vision research it comprises, which countries are leading the way, and how things have varied over time.
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Arnold, Zachary, and Helen Toner. AI Accidents: An Emerging Threat. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/20200072.

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As modern machine learning systems become more widely used, the potential costs of malfunctions grow. This policy brief describes how trends we already see today—both in newly deployed artificial intelligence systems and in older technologies—show how damaging the AI accidents of the future could be. It describes a wide range of hypothetical but realistic scenarios to illustrate the risks of AI accidents and offers concrete policy suggestions to reduce these risks.
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Kagan, Rebecca, Rebecca Gelles, and Zachary Arnold. Corporate Investors in Top U.S. AI Startups. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/20200055.

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Corporate investors are a significant player in the U.S. AI startup ecosystem, funding 71 percent of top U.S. AI startups. The authors analyze the trends in top corporate funders and the startups receiving corporate money.
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Kelley, Sarah, and Claire Kelley. Child Trends Hackathon Applies AI to Products That Advance Child Well-being. Child Trends, Inc., 2024. http://dx.doi.org/10.56417/3485f4773k.

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Stucke, Maurice E. AI, Antitrust & Privacy. Institute for New Economic Thinking Working Paper Series, 2025. https://doi.org/10.36687/inetwp236.

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Generative artificial intelligence (AI) is reshaping how companies profile individuals, create and target ads, and influence behavior—often in ways that undermine privacy, autonomy, and democracy. This article explores a critical but overlooked question: how AI affects the relationship between competition and privacy. Increased competition in the AI supply chain may seem like a solution to Big Tech’s dominance, but when firms are rewarded for surveillance and manipulation, more competition can actually make things worse. Drawing on recent market trends and twenty state privacy laws, the Articl
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Pasupuleti, Murali Krishna. Empathetic AI in Action: Transforming Customer Service with Emotional Intelligence. National Education Services, 2025. https://doi.org/10.62311/nesx/rr725.

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Abstract: This article explores the transformative impact of Emotionally Intelligent AI on customer service, focusing on how AI systems are designed to understand and respond to human emotions with empathy and precision. It delves into the core technologies, such as sentiment analysis, emotion recognition models, and reinforcement learning, that enable AI to provide emotionally aware interactions. Practical applications are discussed, including AI-powered customer support, personalized experiences, and crisis management solutions. The Article also covers the psychological foundations of AI-dri
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Nowinska, Agnieszka Urszula, and Gisele Msann. AI disruption in chartering in Danish Shipping. Aalborg University Open Publishing, 2025. https://doi.org/10.54337/aau.bk2_2025.

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Our research highlights the current state and trends of artificial intelligence (AI) adoption in Denmark’s chartering, particularly in the dry bulk and tanker segments. Companies in the dry bulk sector are leading AI adoption, with the tanker segment closely following and adoption rates in our sample appear higher than national averages reported by consultancies. Most firms are in either the experimental phase or transitioning toward more integrated AI systems, often opting for hybrid models that allow them to maintain internal control over key processes. Factors such as company size and matur
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Arnold, Zachary, Ilya Rahkovsky, and Tina Huang. Tracking AI Investment: Initial Findings From the Private Markets. Center for Security and Emerging Technology, 2020. http://dx.doi.org/10.51593/20190011.

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The global AI industry is booming, with privately held firms pulling in nearly $40 billion in disclosed investment in 2019 alone. U.S. companies continue to attract the majority of that funding—64 percent of it in 2019—but that lead is not guaranteed. This report analyzes AI investment data from 2015 to 2019 to help better understand trends in the global AI landscape.
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Konaev, Margarita, Husanjot Chahal, Ryan Fedasiuk, Tina Huang, and Ilya Rahkovsky. U.S. Military Investments in Autonomy and AI: Executive Summary. Center for Security and Emerging Technology, 2020. http://dx.doi.org/10.51593/20200070.

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Today’s research and development investments will set the course for artificial intelligence in national security in the coming years. This Executive Summary presents key findings and recommendations from CSET’s two-part analysis of U.S. military investments in autonomy and AI, including our assessment of DOD’s research priorities, trends and gaps, as well as ways to ensure U.S. military leadership in AI in the short and the long term.
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Toner, Helen, and Ashwin Acharya. Exploring Clusters of Research in Three Areas of AI Safety. Center for Security and Emerging Technology, 2022. http://dx.doi.org/10.51593/20210026.

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Problems of AI safety are the subject of increasing interest for engineers and policymakers alike. This brief uses the CSET Map of Science to investigate how research into three areas of AI safety — robustness, interpretability and reward learning — is progressing. It identifies eight research clusters that contain a significant amount of research relating to these three areas and describes trends and key papers for each of them.
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