Relevant bibliographies by topics / AI-system

Contents

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

Academic literature on the topic 'AI-system'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 July 2025

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Journal articles on the topic "AI-system"

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Sakr, Mohamed. "AI-Tutor system." Journal of the ACS Advances in Computer Science 16, no. 1 (2025): 0. https://doi.org/10.21608/asc.2025.431303.

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Reddy, V. R. Shushma, K. Yuva Sahithya Preethi, T. Mounika, and Nisba Kousar. "AI based IT Training System." International Journal of Research Publication and Reviews 6, no. 4 (2025): 11291–94. https://doi.org/10.55248/gengpi.6.0425.15133.

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Arjun, Mr C. M., and Mrs Dr A. Kanimozhi. "AI Based Pharmacy Monitoring System." International Journal of Research Publication and Reviews 6, no. 2 (2025): 1533–36. https://doi.org/10.55248/gengpi.6.0225.0759.

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Kumari, Sanjana, Surabhi Sharma, and Sampada Massey. "Mindbody AI :AI-Based Real-Time Exercise and Gesture Recognition System." International Journal of Research Publication and Reviews 6, no. 4 (2025): 11788–93. https://doi.org/10.55248/gengpi.6.0425.15153.

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Zhou, Fanyi. "AI System Report: Hirevue’s AI-Driven Assessment Tool." Innovation in Science and Technology 3, no. 4 (2024): 109–12. http://dx.doi.org/10.56397/ist.2024.07.11.

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Hirevue, a leading technology company in human resources, utilizes AI to optimize recruitment processes through its sophisticated assessment platform. This platform employs machine learning to analyze video interviews, evaluating both verbal and non-verbal cues to predict candidates’ traits and competencies. Continuous algorithmic enhancements, including the integration of advanced technologies such as RoBERTa for NLP, highlight Hirevue’s dedication to accuracy and fairness in candidate evaluations. The system is designed to streamline recruitment, enhance hiring quality, and boost efficiency,
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Atole, Hruturaj. "Capit-AI: An AI driven Financial Advisory System." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 5124–36. https://doi.org/10.22214/ijraset.2025.69398.

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AI-driven financial advisory systems are transforming investment planning, tax optimization, and financial literacy by automating key decision-making processes. Capit-AI is an intelligent AI-powered financial advisor that integrates machine learning (ML), Natural Language Processing (NLP), and automation to assist users in managing mutual funds, stocks, tax saving strategies, and real-time expense tracking. The system consists of multiple AI agents, including a Web Agent, Finance Agent, Mutual Fund Agent, and Tax Agent, to provide personalized financial insights. Capit-AI overcomes traditional
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Jung, In Hwan, Jae Moon Lee, and Kitae Hwang. "Smart Parking Management System Using AI." Webology 19, no. 1 (2022): 4629–38. http://dx.doi.org/10.14704/web/v19i1/web19307.

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This paper is aimed to introduce a smart parking lot management system using multiple cameras and artificial intelligence technique. When a vehicle enters a parking lot, it recognizes the vehicle number using embedded camera, tracks which parking space the vehicle is parked in, and updates parking space information. In addition, using a surveillance camera images, it has been also implemented to detect collision accidents that may occur while the vehicle is moving in the parking lot. Vehicle number recognition system uses OCR technique and is implemented on a Raspberry system. By managing the
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Koshiishi, Ryuta. "AI Auto Depalletizing System." JAPAN TAPPI JOURNAL 72, no. 10 (2018): 1136–38. http://dx.doi.org/10.2524/jtappij.72.1136.

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ATTA Ltd. and ACI. "Breakthrough AI training system." Knowledge-Based Systems 1, no. 2 (1988): 122. http://dx.doi.org/10.1016/0950-7051(88)90009-3.

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Kuyate, Swapnil, Omdeep Jadhav, and Pratik Jadhav. "AI Text Summarization System." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 916–19. http://dx.doi.org/10.22214/ijraset.2023.51481.

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Abstract: Our research paper presents an AI text summarization system that utilizes GPT, a powerful language model, to generate concise and meaningful summaries of lengthy text documents. The system consists of four modules: User, Android Application, GPT API, and GPT server. The User interacts with the system through the Android Application, which serves as the user interface. The GPT API acts as the intermediary between the Android Application and the GPT server, which hosts the GPT model and handles the text summarization process. The system employs state-of-the-art natural language process
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Dissertations / Theses on the topic "AI-system"

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Axelsson, Mattis, and Sara Larsson. "Utvecklande AI : En studie i hur man skapar ett system för lärande AI." Thesis, Blekinge Tekniska Högskola, Sektionen för planering och mediedesign, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4587.

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AI är något som blir allt viktigare inom dagens spel och får allt högre krav på att agera mänskligt och intelligent. Detta kandidatarbete undersöker vilken metod som är att föredra för att skapa en AI som kan lära sig av sina tidigare erfarenheter. Några av de metoder som undersöks är trädstrukturer, Artificial Neural Network och GoCap. Genom att skapa en applikation med en av metoderna samt göra en undersökning på hur AI:n i applikationen upplevdes fick vi resultat om denna metod var användbar. Utifrån detta diskuteras det ifall andra metoder hade varit mer effektiva, hur man hade kunnat förb
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Santiago, Dionny. "A Model-Based AI-Driven Test Generation System." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3878.

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Achieving high software quality today involves manual analysis, test planning, documentation of testing strategy and test cases, and development of automated test scripts to support regression testing. This thesis is motivated by the opportunity to bridge the gap between current test automation and true test automation by investigating learning-based solutions to software testing. We present an approach that combines a trainable web component classifier, a test case description language, and a trainable test generation and execution system that can learn to generate new test cases. Training da
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Khan, Laiq. "Hybrid AI paradigms applied to power system damping controls." Thesis, University of Strathclyde, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273412.

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Jokiniemi, V. (Ville). "AI and digitalization as enablers of flexible power system." Master's thesis, University of Oulu, 2019. http://jultika.oulu.fi/Record/nbnfioulu-201911203114.

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Abstract. The Paris climate agreement obligate energy and power sector to reduce greenhouse gasses even though at the same time the global power demand increases. This leads to need to increase emission-free power generation with renewable energy sources (RES). Wind- and solar power technologies have developed significantly and price of power generated by them has decreased clearly in recent years. These factors have led to large-scale installations globally. However transitioning towards RES, such as wind and solar power, poses a challenge, since supply and demand in the electric power system
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Gesswein, Holger. "Entwicklung hochfester Net shape Oxidkeramiken im system AI₂O₃-SiO₂-ZrO₂ /." Karlsruhe : Forschungszentrum Karlsruhe in der Helmholtz-Gemeinschaft, 2005. http://bibliothek.fzk.de/zb/berichte/FZKA7186.pdf.

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Yusuf, Syed Adnan. "An evolutionary AI-based decision support system for urban regeneration planning." Thesis, University of Wolverhampton, 2010. http://hdl.handle.net/2436/114896.

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The renewal of derelict inner-city urban districts suffering from high levels of socio-economic deprivation and sustainability problems is one of the key research areas in urban planning and regeneration. Subject to a wide range of social, economical and environmental factors, decision support for an optimal allocation of residential and service lots within such districts is regarded as a complex task. Pre-assessment of various neighbourhood factors before the commencement of actual location allocation of various public services is considered paramount to the sutainable outcome of regeneration
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Bohlander, Joacim. "AI-system för sjukvården - en studie kring design av förklaringar till AI-modeller och dess inverkan på sjukvårdspersonalens förståelse och tillit." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19975.

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Användningsområdena för artificiell intelligens ökar ständigt vilket är inte förvånande då AIs förmåga att lösa komplicerade problem många gånger överstiger den mänskliga motsvarigheten. Implementeringen av AI-system har ibland gått så långt att utvecklarna själva inte längre vet hur systemet har tagit fram en slutsats; vilket har gjort att möjligheten att undersöka, förstå och felsöka utfall är näst intill icke-existerande. Eftersom dagens AI-system inte erbjuder förklaringar till utfallen har det resulterat i en ovilja hos slutanvändaren. Forskningsområdet eXplainable AI (XAI) menar att geno
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Bark, Filip, and Oskar Andersons. "Intelligent Kernel of Emotions - IKE : An approach to an AI-complete system." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-175356.

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Ever since the creation of the first computers, humans have pondered the possibility of a computer capable of human-like thought and reason. Many sci-fi authors have explored the possibilities and consequences of a sentient computer and Artificial Intelligence. However, so far no one has managed to come close to an actual thinking computer. This is possibly because the core structure of a computer is based on binary truths, "ones" and "zeros", while the human brain does not work with only true or false. This thesis presents the creation of an AI prototype called IKE. It is not an AI that can a
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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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Elbeh, Heba [Verfasser]. "A personalized emotional intelligent tutoring system based on AI planning / Heba Elbeh." Ulm : Universität Ulm. Fakultät für Ingenieurwissenschaften und Informatik, 2012. http://d-nb.info/1026992273/34.

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Books on the topic "AI-system"

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Ninagawa, Chuzo. AI Time Series Control System Modelling. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-4594-6.

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Sharpe, John E. E., ed. AI System Support for Conceptual Design. Springer London, 1996. http://dx.doi.org/10.1007/978-1-4471-1475-8.

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Iranmanesh, Ali, and Hossein Sayadi, eds. AI-Enabled Electronic Circuit and System Design. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-71436-8.

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Bhateja, Vikrant, Jinshan Tang, Zdzislaw Polkowski, Milan Simic, and V. V. S. S. S. Chakravarthy, eds. Information System Design: AI and ML Applications. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-6581-2.

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Malik, Hasmat, Nuzhat Fatema, and Jafar A. Alzubi, eds. AI and Machine Learning Paradigms for Health Monitoring System. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4412-9.

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Kumar, Randhir, Prabhat Kumar, Sobin C.C., and N. P. Subheesh. Blockchain and AI in Shaping the Modern Education System. CRC Press, 2025. https://doi.org/10.1201/9781003502739.

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Gianfranco, D'Alessio, ed. L' amministrazione come professione: I dirigenti pubblici tra spoils system e servizio ai cittadini. Il Mulino, 2008.

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Cooper, Hal James. Network Structures, Concurrency, and Interpretability: Lessons from the Development of an AI Enabled Graph Database System. [publisher not identified], 2020.

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Rehman, Faisal, Inam Ullah Khan, Oroos Arshi, and Shashi Kant Gupta, eds. Emerging Trends in Information System Security Using AI & Data Science for Next-Generation Cyber Analytics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-81481-5.

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IEEE Standards Coordinating Committee 20., ed. IEEE trial-use standard for artificial intelligence and expert system tie to automatic test equipment (AI-ESTATE): Overview and architecture. Institute of Electrical and Electronics Engineers, 1996.

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Book chapters on the topic "AI-system"

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Khan, Arshad. "Building an AI System." In Artificial Intelligence: A Guide for Everyone. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56713-1_6.

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Subramani, R., and P. Arulpandy. "AI-Driven Proctoring System." In Engineering, Science, and Sustainability. CRC Press, 2023. http://dx.doi.org/10.4324/9781003388982-40.

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Ninagawa, Chuzo. "LSTM AI Modeling." In AI Time Series Control System Modelling. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4594-6_4.

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Nagamachi, M., Y. Matsubara, H. Maeda, and T. Ohgama. "Brand Name Decision AI System." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8612-0_5.

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Mansour, Sherine F., and Nabil Ibrahim Elsheery. "AI-Based Agricultural Knowledge System." In Agricultural Biotechnology. CRC Press, 2022. http://dx.doi.org/10.1201/9781003268468-6.

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Kumar Gayen, Dilip. "AI-Based Movie Recommendation System." In Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications. CRC Press, 2024. http://dx.doi.org/10.1201/9781003343332-11.

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Nagulpelli, Swadhin, Akash Chavan, Aniket Kandalkar, and Smita Kulkarni. "AI-Based Health Management System." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6581-4_29.

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Aggarwal, Ishika, Subrata Sahana, Sanjoy Das, and Indrani Das. "AI Based Interactive System-HOMIE." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-25088-0_30.

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Sheikh, Haroon, Corien Prins, and Erik Schrijvers. "AI as a System Technology." In Research for Policy. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21448-6_4.

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AbstractNow we know what AI is and have seen how the technology has made the transition from the lab to society in recent years, we turn our attention to the process of embedding AI into society. What is required to incorporate AI into our society? To answer that question, this chapter presents a framework within which AI can be viewed as a particular type of technology, namely a system technology, with a number of historical precedents. By viewing AI in this way, we can draw various conclusions from the history of other system technologies. That in turn provides a basis for reflecting on what
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Thakur, Chandan, and Bhakti Palkar. "Smart Rack System Using AI." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1313-4_2.

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Conference papers on the topic "AI-system"

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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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Maheshwari, Karan Kumar, Shabana Hajano, Saba Baloch, Zarshah Zafar, and Tehreem Fatima. "AI Based Surveillance System." In 2025 International Conference on Emerging Technologies in Electronics, Computing, and Communication (ICETECC). IEEE, 2025. https://doi.org/10.1109/icetecc65365.2025.11070296.

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Sabar, Aneesah, Sahan Gamage, S. Abishek, Charuka Lakmal, K. A. Dilini T. Kulawansa, and Pamoda Perera. "AI-Powered Student Learning System." In 2024 8th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI). IEEE, 2024. https://doi.org/10.1109/slaai-icai63667.2024.10844979.

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Ünal, Hasan Tolga, Arif Furkan Mendi, Özgür Umut Vurgun, Ömer Özkan, and Mehmet Akif Nacar. "AI – Supported Collective Security System." In 2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP). IEEE, 2024. http://dx.doi.org/10.1109/idap64064.2024.10711160.

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Prasad, Rudra, Balaji Koushik S, Prashanth P, Srikanth R, and Reddy Sudharshana K. "AI Based Smart Hydroponics System." In 2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS). IEEE, 2024. http://dx.doi.org/10.1109/iciteics61368.2024.10625374.

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Liu, Mingyang, Zhen Liu, Yu Wang, Kang Yi, and Jing Xu. "AI-Assisted Cooking Teaching System." In 2024 11th International Conference on Machine Intelligence Theory and Applications (MiTA). IEEE, 2024. http://dx.doi.org/10.1109/mita60795.2024.10751688.

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Ramya Manaswi, V., Meduri Saketh, Mandumula Sai Ravi Tejha, Atluri Sai Karthikeya, Dharani Chandra Prakash, and Ahmad Alkhayyat. "JARVIS - Smart AI Support System." In 2024 3rd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON). IEEE, 2024. https://doi.org/10.1109/odicon62106.2024.10797522.

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K, Yashaswini, Jyothi S, Prajwal Gowda G, N. Dhanvina, and Nishanth M S. "AI Powered Resource Management System." In 2024 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS). IEEE, 2024. https://doi.org/10.1109/icbds61829.2024.10837375.

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Kushwaha, Durgesh Kumar, Lipakshi Arora, Abhinav Anand, Riya, Darshit Sheth, and Shanu Khare. "AI Powered Job Recommendation System." In 2024 International Conference on Emerging Technologies and Innovation for Sustainability (EmergIN). IEEE, 2024. https://doi.org/10.1109/emergin63207.2024.10961440.

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Sai Venkata Agastya, Appikonda Shyam, Bandi Rishikesh Kumar, Dandu Sasi Sathvik Varma, Chiruudeep Gangu, and Kavitha C R. "AI Based Threat Detection System." In 2025 Fourth International Conference on Smart Technologies, Communication and Robotics (STCR). IEEE, 2025. https://doi.org/10.1109/stcr62650.2025.11020175.

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Reports on the topic "AI-system"

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Agrawal, Ajay, Joshua Gans, and Avi Goldfarb. AI Adoption and System-Wide Change. National Bureau of Economic Research, 2021. http://dx.doi.org/10.3386/w28811.

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Deppe, Sahar. AI-based reccomendation system for industrial training. Kompetenzzentrum Arbeitswelt.Plus, 2023. http://dx.doi.org/10.55594/vmtx7119.

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Recommendation systems have become a main part of e-learning, reshaping the landscape of digital education. In an era marked by the proliferation of online courses, diverse learning materials, and users with varying needs, these systems offer a dynamic solution. This paper explores recommendation techniques and their role in e-learning and web-based training, delving into their mechanisms, challenges, and opportunities. Moreover, future directions of these systems in e-learning, including the integration of artificial intelligent and emerging technologies, and the quest for transparency and pr
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Aiken, Catherine. Classifying AI Systems. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/20200025.

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This brief explores the development and testing of artificial intelligence system classification frameworks intended to distill AI systems into concise, comparable and policy-relevant dimensions. Comparing more than 1,800 system classifications, it points to several factors that increase the utility of a framework for human classification of AI systems and enable AI system management, risk assessment and governance.
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Devarakonda, Ranjeet, Jitendra Kumar, Dalton Lunga, Jong Choi, and Giri Prakash. AI-Driven Data Discovery to Improve Earth System Predictability. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1769671.

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Ali, Alee. Titan on the Red (advanced AI / ML system) [Slides]. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1764119.

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Wang, Jiali, Rao Kotamarthi, Virendra Ghate, et al. A Hybrid Climate Modeling System Using AI-assisted Process Emulators. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1769645.

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Theofanos, Mary Frances. AI Use Taxonomy. National Institute of Standards and Technology, 2024. http://dx.doi.org/10.6028/nist.ai.200-1.

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As artificial intelligence (AI) systems continue to be developed, humans will increasingly participate in human-AI interactions. Humans interact with AI systems to achieve particular goals. To ensure that AI systems contribute positively to human-AI interactions, it is important to examine human-AI tasks with an emphasis on human goals and outcomes. The AI Use Taxonomy aims to provide a flexible means of classifying how an AI system contributes to an outcome. The taxonomy sets forward 16 AI use “activities” which are independent of AI techniques and domains. Tasks are combinations of one or mo
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Penny, Stephen, Hsin-Yi Lin, Michael Goodliff, Tse-Chun Chen, and Timothy Smith. Integration of AI/ML with Data Assimilation for Earth System Prediction2. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1769728.

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Mudunuru, Maruti, James Ang, Halappanavar Mahentesh, et al. Perspectives on AI Architectures and Co-design for Earth System Predictability. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/2378014.

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Bennett, Katrina, Satish Karra, and Velimir Vesselinov. Characterization of Extreme Hydroclimate Events in Earth System Models using ML/AI. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1769685.

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