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Relevant bibliographies by topics / Intelligence research

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Academic literature on the topic 'Intelligence research'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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Journal articles on the topic "Intelligence research"

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Rahmalia, Indah. "students' Multiple Intelligence in Learning during TOEFL Preparation." TELL-US JOURNAL 2, no. 2 (2017): 42–55. http://dx.doi.org/10.22202/tus.2016.v2i2.1386.

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The purpose of this study was to find out students’ Multiple intelligece in learning during TOEFL preparation at STKIP Abdi Pendidikan Payakumbuh. This study was carried out of descriptive research that undertaken through phenomenological approach by employing questionnaire to 31 students selected by using purposive sampling technique. The findings of this study showed that the most multiple intelligence used by the students was musical intelligence with the score 606 , while the multiple intelligences that less dominant used by the students was logical-mathematical intelligence with the score

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Johnson, Wendy. "Whither Intelligence Research?" Journal of Intelligence 1, no. 1 (2013): 25–35. http://dx.doi.org/10.3390/jintelligence1010025.

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Wai, Jonathan. "Communicating Intelligence Research." Journal of Intelligence 8, no. 4 (2020): 40. http://dx.doi.org/10.3390/jintelligence8040040.

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Despite intelligence research being among the most replicable bodies of empirical findings—a Rosetta stone across the social sciences—the communication of intelligence research with non-intelligence researchers and the public remains a challenge, especially given ongoing public controversies throughout the history of the field. Hunt argued that “we have a communication problem.” This article is a call for intelligence researchers to consider communication at multiple levels—communication with other intelligence researchers, communication with non-intelligence researchers, and communication wit

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Michalewicz, Zbigniew, and Matthew Michalewicz. "Machine intelligence, adaptive business intelligence, and natural intelligence [Research Frontier]." IEEE Computational Intelligence Magazine 3, no. 1 (2008): 54–63. http://dx.doi.org/10.1109/mci.2007.913389.

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Musib, Mrinal, Feng Wang, Michael A. Tarselli, et al. "Artificial intelligence in research." Science 357, no. 6346 (2017): 28–30. http://dx.doi.org/10.1126/science.357.6346.28.

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Jacobvitz, Robin Smith. "Research on Intelligence Flourishes." Contemporary Psychology: A Journal of Reviews 33, no. 6 (1988): 513–14. http://dx.doi.org/10.1037/025783.

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Sternberg, Robert J., and Scott Barry Kaufman. "Trends in intelligence research." Intelligence 40, no. 2 (2012): 235–36. http://dx.doi.org/10.1016/j.intell.2012.01.007.

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Sumadi, Suhartini, Teguh Yuliandri Putra, and Heny Sri Astutik. "PROSES PEMECAHAN MASALAH MATEMATIKA SISWA SMA BERDASARKAN KECERDASAN MAJEMUK." Journal of Honai Math 3, no. 2 (2020): 123–44. http://dx.doi.org/10.30862/jhm.v3i2.107.

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This study aims to analyze the mathematics problem-solving process of high school students based on multiple intelligences. In research, multiple intelligence is divided into dominant linguistic intelligence, interpersonal and kinesthetic intelligence, dominant musical intelligence, logical-mathematical and naturalistic, existential, intrapersonal, and visual dominant intelligence. The type of research used in this research is descriptive exploratory, and the approach used is qualitative and quantitative approaches. Determination of research subjects was carried out using purposive sampling ba

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Garlick, Dennis. "Integrating Brain Science Research With Intelligence Research." Current Directions in Psychological Science 12, no. 5 (2003): 185–89. http://dx.doi.org/10.1111/1467-8721.01257.

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Thambu, Nadarajan, Harun Joko Prayitno, and Gamal Abdul Nasir Zakaria. "Incorporating Active Learning into Moral Education to Develop Multiple Intelligences: A Qualitative Approach." Indonesian Journal on Learning and Advanced Education (IJOLAE) 3, no. 1 (2020): 17–29. http://dx.doi.org/10.23917/ijolae.v3i1.10064.

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Recognizing and nurturing all the varieties of human intelligences is essential for exploring the talents of students and enabling their identification of multiple intelligences. Studies have suggested that eliciting the maximum potential of intelligences leads to students' success in their academic and future careers. The literature has shown that incorporating active learning into the teaching and learning of moral education to develop multiple intelligences is limited. Accordingly, this study aims to discover the various intelligences that exist among moral education students through the ac

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Dissertations / Theses on the topic "Intelligence research"

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Conocimiento, Dirección de Gestión del. "Scival Research Intelligence." Elsevier, 2004. http://hdl.handle.net/10757/655384.

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Pietersen, Merle Anthea. "Competitive intelligence at the Medical Research Council." Thesis, Stellenbosch : University of Stellenbosch, 2006. http://hdl.handle.net/10019.1/3363.

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Thesis (MPhil (Information Science))--University of Stellenbosch, 2006.<br>The study was conducted to establish whether there is a need at the Medical Research Council for a formal CI function to be implemented. The objective of the investigation was to establish whether the CI techniques and methods, which are traditionally applied in the commercial industry, could be applied to a non-commercial industry, like the medical research industry in which the Medical Research Council operates. The aim is to highlight the benefits that CI could provide to the managerial decision-makers of the organis

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Conocimiento, Dirección de Gestión del. "Guía de acceso para Scival Research Intelligence." Elsevier, 2021. http://hdl.handle.net/10757/655384.

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France, Robert Karl. "An artificial intelligence environment for information retrieval research." Thesis, Virginia Polytechnic Institute and State University, 1986. http://hdl.handle.net/10919/91091.

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The CODER (COmposite Document Expert/Extended/Effective Retrieval) project is a multi-year effort to investigate how best to apply artificial intelligence methods to increase the effectiveness of information retrieval systems. Particular attention is being given to analysis and representation of heterogeneous documents, such as electronic mail digests or messages, which vary widely in style, length, topic, and structure. In order to ensure system adaptability and to allow reconfiguration for controlled experimentation, the project has been designed as a moderated expert system. This thesis cov

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Dinter, Barbara, and Anja Lorenz. "Social Business Intelligence: a Literature Review and Research Agenda." Universitätsbibliothek Chemnitz, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-105870.

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The domains of Business Intelligence (BI) and social media have meanwhile become significant research fields. While BI aims at supporting an organization’s decisions by providing relevant analytical data, social media is an emerging source of personal and individual knowledge, opinion, and attitudes of stakeholders. For a while, a convergence of the two domains can be observed in real-world implementations and research, resulting in concepts like social BI. Many research questions still remain open – or even worse – are not yet formulated. Therefore, the paper aims at articulating a research a

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Herzberg, Nico, and Mathias Weske. "Enriching raw events to enable process intelligence : research challenges." Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2013/6401/.

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Business processes are performed within a company’s daily business. Thereby, valuable data about the process execution is produced. The quantity and quality of this data is very dependent on the process execution environment that reaches from predominantly manual to fullautomated. Process improvement is one essential cornerstone of business process management to ensure companies’ competitiveness and relies on information about the process execution. Especially in manual process environments data directly related to the process execution is rather sparse and incomplete. In this paper, we presen

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Dinter, Barbara, and Anja Lorenz. "Social Business Intelligence: a Literature Review and Research Agenda." Association for Information Systems (AIS), 2012. https://monarch.qucosa.de/id/qucosa%3A19841.

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The domains of Business Intelligence (BI) and social media have meanwhile become significant research fields. While BI aims at supporting an organization’s decisions by providing relevant analytical data, social media is an emerging source of personal and individual knowledge, opinion, and attitudes of stakeholders. For a while, a convergence of the two domains can be observed in real-world implementations and research, resulting in concepts like social BI. Many research questions still remain open – or even worse – are not yet formulated. Therefore, the paper aims at articulating a research a

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Vaidya, Priyanka S. "Artificial Intelligence Approach to Breast Cancer Classification." University of Akron / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=akron1240957599.

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Hong, Tao. "Long-Term Spatial Load Forecasting Using Human-Machine Co-construct Intelligence Framework." NCSU, 2008. http://www.lib.ncsu.edu/theses/available/etd-10212008-105450/.

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This thesis presents a formal study of the long-term spatial load forecasting problem: given small area based electric load history of the service territory, current and future land use information, return forecast load of the next 20 years. A hierarchical S-curve trending method is developed to conduct the basic forecast. Due to uncertainties of the electric load data, the results from the computerized program may conflict with the nature of the load growth. Sometimes, the computerized program is not aware of the local development because the land use data lacks such information. A human-mach

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Brutschy, Arne. "Enabling research on complex tasks in swarm robotics: novel conceptual and practical tools." Doctoral thesis, Universite Libre de Bruxelles, 2014. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209123.

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Research in swarm robotics focuses mostly on how robots interact and cooperate to perform tasks, rather than on the details of task execution. As a consequence, researchers often consider abstract tasks in their experimental work. For example, foraging is often studied without physically handling objects: the retrieval of an object from a source to a destination is abstracted into a trip between the two locations---no object is physically transported. Despite being commonly used, so far task abstraction has only been implemented in an ad hoc fashion.<p><p>In this dissertation, I propose a coll

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Books on the topic "Intelligence research"

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Bhattacharyya, Siddhartha, Sushmita Mitra, and Paramartha Dutta, eds. Intelligence Enabled Research. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2021-1.

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Bhattacharyya, Siddhartha, Paramartha Dutta, and Kakali Datta, eds. Intelligence Enabled Research. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9290-4.

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Gerber, Aurona, ed. Artificial Intelligence Research. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66151-9.

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Yang, Laurence Tianruo. Research in mobile intelligence. John Wiley & Sons, 2010.

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Zurada, Jacek M., Gary G. Yen, and Jun Wang, eds. Computational Intelligence: Research Frontiers. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-68860-0.

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Deng, Hepu, Duoqian Miao, Fu Lee Wang, and Jingsheng Lei, eds. Emerging Research in Artificial Intelligence and Computational Intelligence. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24282-3.

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Lei, Jingsheng, Fu Lee Wang, Hepu Deng, and Duoqian Miao, eds. Emerging Research in Artificial Intelligence and Computational Intelligence. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34240-0.

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Catalonian Conference on AI (8th 2005 Alghero, Italy). Artificial intelligence research and development. IOS Press, 2005.

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Cecilio, Angulo, Godo L, and Associació Catalana d'Intel·ligència Artificial, eds. Artificial intelligence research and development. IOS Press, 2007.

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Holsapple, C. W. Operations research and artificial intelligence. Ablex Pub. Corp., 1994.

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Book chapters on the topic "Intelligence research"

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Furnham, Adrian. "Research Workers." In Management Intelligence. Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/9780230227439_56.

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Kruse, Rudolf, Erhard Schwecke, and Jochen Heinsohn. "Related Research." In Artificial Intelligence. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76702-9_15.

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Gould, S. J. "Mis-Measuring Intelligence." In Introducing Psychological Research. Macmillan Education UK, 1996. http://dx.doi.org/10.1007/978-1-349-24483-6_26.

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Savioz, Pascal. "The Research Framework." In Technology Intelligence. Palgrave Macmillan UK, 2004. http://dx.doi.org/10.1057/9781403948212_5.

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Chakraborty, Aruna, and Amit Konar. "Open Research Problems." In Emotional Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-68609-5_10.

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McGonagle, John J., and Carolyn M. Vella. "Research: Specific Cases." In Proactive Intelligence. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2742-0_8.

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Dai, Hong-Ning, Jiajing Wu, and Zibin Zheng. "Open Research Directions." In Blockchain Intelligence. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0127-9_7.

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Nijholt, Anton. "Multimodality and Ambient Intelligence." In Philips Research. Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-94-017-0703-9_2.

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Aarts, Emile, Jan Korst, and Wim F. J. Verhaegh. "Algorithms in Ambient Intelligence." In Philips Research. Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-94-017-0703-9_1.

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Dong, Tiansi. "Research Topics and Research Questions." In Studies in Computational Intelligence. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24058-4_3.

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Conference papers on the topic "Intelligence research"

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Sarkisian, D. S., and S. R. Saakian. "RESEARCH OF TRENDS IN THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE." In INNOVATIVE TECHNOLOGIES IN SCIENCE AND EDUCATION. DSTU-Print, 2020. http://dx.doi.org/10.23947/itno.2020.497-499.

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The relevance of the chosen topic is due to the fact that artificial intelligent systems already exist and successfully replace people in many professions. And then everything will only get more serious. The article shows the main areas of work in the field of artificial intelligence

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Matić, Mirjana. "THE IMPORTANCE OF EMOTIONAL INTELLIGENCE OF LEADERS IN CRISIS SITUATIONS." In Sixth International Scientific-Business Conference LIMEN Leadership, Innovation, Management and Economics: Integrated Politics of Research. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/limen.s.p.2020.77.

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In the modern world, today, due to rapid changes, development of technology, market demands, we can conclude that more than ever there is a danger of various types of crises. In this regard, more than ever before, it is necessary to understand what resources companies need to be more resilient to crises. This paper provides an overview of the theoretical framework, as well as research conducted in the field of emotional intelligence and crisis management. Many studies show that the importance of emotional intelligence of leaders in a crisis is great. Leaders who have a higher level of emotiona

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Lu, Hao, Xiaolong Zheng, Xingkai Sun, and Nan Zhang. "Research on intelligent scientific research collaboration platform and taking journal intelligence system as example." In 2012 IEEE International Conference on Service Operations and Logistics and Informatics (SOLI). IEEE, 2012. http://dx.doi.org/10.1109/soli.2012.6273519.

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Pedersen, Torben Bach. "Research challenges for cloud intelligence." In the 1st International Workshop. ACM Press, 2010. http://dx.doi.org/10.1145/1754239.1754247.

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Hou, Xuanfang, and Xiaoyun Shao. "Mechanism Research of Emotional Intelligence." In 2016 4th International Education, Economics, Social Science, Arts, Sports and Management Engineering Conference (IEESASM 2016). Atlantis Press, 2016. http://dx.doi.org/10.2991/ieesasm-16.2016.40.

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Wenhao, Zhou, Wenhui Yu, and Zhang Shihui. "Research of intelligence sublayer correlation." In Beijing 2009 International Geophysical Conference and Exposition. Society of Exploration Geophysicists, 2009. http://dx.doi.org/10.1190/1.3603676.

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Andreeva, Olga Viktorovna. "Emotional intelligence and disturbance interconnection." In VIII International applied research conference. TSNS Interaktiv Plus, 2016. http://dx.doi.org/10.21661/r-111564.

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Fang, Sheng, and Shunhuai Chen. "Research on Intelligent Loading of Bulk Carriers." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-18209.

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Abstract With the rapid development of computer technology in recent years, the shipbuilding industry is accelerating its intelligent process. Intelligent cargo management is an important functional module of intelligent ships, and intelligent loading is an important part of intelligent cargo management. Cargo loading is an important link in the process of cargo transportation. The loading effect affects the sailing performance, safety performance and loading efficiency of the ship, so it is necessary to improve the intelligence of ship loading. Based on the calculation and research of the flo

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Li, Qingsheng, Aimin Wang, Jinyu Kai, and Jipeng Wang. "Research on Multimedia Intelligence Course and Intelligence Classroom Based on Multiple Intelligence Theory." In 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP). IEEE, 2010. http://dx.doi.org/10.1109/iihmsp.2010.102.

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Xiao, Gengyi. "Research on Multilingual Intelligent Translation System Based on Artificial Intelligence Technology." In 2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE). IEEE, 2020. http://dx.doi.org/10.1109/iciscae51034.2020.9236858.

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Reports on the topic "Intelligence research"

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McAllister, Jay. Cyber Intelligence Research Consortium (Poster). Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada614297.

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Stepnek, Steve. Artificial Intelligence/Expert System Cost Research Roadmap. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada186339.

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DEFENSE SCIENCE BOARD WASHINGTON DC. Operations Research Applications for Intelligence, Surveillance and Reconnaissance (ISR). Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada493773.

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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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Henghold, William M., and Thomas Triscari. A Research Planning Assessment for Applications of Artificial Intelligence in Manufacturing. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada168692.

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Gomes, Carla P. Artificial Intelligence and Operations Research: Challenges and Opportunities in Planning and Scheduling. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada387350.

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Murdick, Dewey, and Patrick Thomas. Patents and Artificial Intelligence: A Primer. Center for Security and Emerging Technology, 2020. http://dx.doi.org/10.51593/20200038.

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Patent data can provide insights into the most active countries, fields and organizations in artificial intelligence research. This data brief analyzes worldwide trends in AI patenting to offer metrics on inventive activity.

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Baker, Nathan, Frank Alexander, Timo Bremer, et al. Brochure on Basic Research Needs for Scientific Machine Learning: Core Technologies for Artificial Intelligence. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1484362.

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Di Benigno, Kathryn. JAYCOR Work in Support of the Navy Center for Applied Research in Artificial Intelligence. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada196108.

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Biagioni, David, John Farrell, Venu Garikapati, et al. Advanced Computing, Data Science, and Artificial Intelligence Research Opportunities for Energy-Focused Transportation Science. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1812196.

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