Academic literature on the topic 'Meta AI'

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Journal articles on the topic "Meta AI"

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Egesoy, Dr Ahmet. "Meta-Modeling of AI for Software Modularization." International Journal of Innovative Research in Computer Science & Technology 9, no. 1 (2021): 26–32. http://dx.doi.org/10.21276/ijircst.2021.9.1.6.

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Stokel-Walker, Chris. "Meta AI tackles impossible maths." New Scientist 264, no. 3515 (2024): 17. http://dx.doi.org/10.1016/s0262-4079(24)01929-8.

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Ajueyitse Otuedon, Martins, Gloria Ekemena Okonkwo, Samuel Ejiro Uwhejevwe-Togbolo, et al. "Impact of meta ai on accounting firm performance: implications for the hospitality business in Nigeria." Management (Montevideo) 3 (January 1, 2025): 138. https://doi.org/10.62486/agma2025138.

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Meta AI created by Meta Platforms Inc. has been a major force in improving accounting firms' performance. The Meta AI, is used in numerous industries, including accounting professionals, the Mata AI has the potential to revolutionize business operations and service delivery. Thus, Meta AI has the potential to streamline repetitive procedures in accounting, strengthen data analytic skills, and facilitate better decision-making. The study acknowledged that accounting firms can leverage Meta AI for a variety of purposes. Firms that use Meta AI technologies from the outset of their business cycle
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Zhang, Yingying, and Keng Siau. "Meta-Entrepreneurship." Journal of Global Information Management 32, no. 1 (2024): 1–21. https://doi.org/10.4018/jgim.364094.

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Metaverse entrepreneurship has emerged as an innovative topic alongside the development of generative AI, agentic AI and metaverse. This study conceptualizes meta-entrepreneurship as a novel form of entrepreneurial activity that enables value creation within virtual and physical realms and proposes an analytical theoretical framework based on a systematic literature review, observations, and focus group study. Our framework is structured around three layers (infrastructure, content, and experience) and two domains (metaverse-based operational domain and AI-based production domain), aims to con
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Baek, Daeun, WanSang Son, Ji Hoon Song, and MYUNGHYUN YOO. "Meta-analysis of learning effectiveness using generative AI." Korean Association for Educational Information and Media 30, no. 4 (2024): 1261–85. http://dx.doi.org/10.15833/kafeiam.30.4.1261.

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MIYAKE, Youichiro, Yuta MIZUNO, and Daiki SATOI. "A History of Formation of Meta AI and AI Director." Journal of Digital Games Research 13, no. 2 (2020): 1–12. http://dx.doi.org/10.9762/digraj.13.2_1.

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Ilya, Levin, Kojukhov Andrei, and Marom Michal. "Rethinking AI in Education: Highlighting the Metacognitive Challenge." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 16, Special Issue 1 (2025): 250–63. https://doi.org/10.70594/brain/16.S1/21.

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Generative Artificial Intelligence (GenAI) is revolutionising education, but in doing so, it is often seen simply as a tool for automation and efficiency. This paper challenges this narrow perspective, arguing that GenAI’s transformative potential lies in fostering Meta-AI skills—specialised metacognitive competencies for engaging AI as a cognitive partner. Our objective is to explore how GenAI reshapes learning environments and necessitates a pedagogical shift, hypothesising that traditional education paradigms are insufficient without Meta-AI skills to navigate GenAI’s dyna
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Sunny, Orike, and S. Ene Donald. "Meta-Learning: Unleashing the Power of Self-Improving Artificial Intelligent (AI) Systems." Journal of Advances in Computational Intelligence Theory 5, no. 3 (2023): 12–27. https://doi.org/10.5281/zenodo.8223579.

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<em>Meta-learning, or learning to learn, is an emerging field within artificial intelligence (AI) that enables AI systems to acquire knowledge and adapt to new tasks. This paper explores the concept of meta-learning and its applications in enabling self-improving AI systems. It delves into key components and methodologies involved in meta-learning, discusses various approaches such as model-agnostic meta-learning (MAML) and recurrent neural networks (RNNs)</em><em>;</em><em> and examines applications, challenges, and ethical considerations. Through comprehensive analysis and review of existing
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de Vries, Marco. "Meta wil privédata gebruiken voor AI." Advocatenblad 104, no. 6 (2024): 62. http://dx.doi.org/10.5553/ab/0165-13312024104006017.

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Chen, Z. "On Continuous AI and Meta‐knowledge." Kybernetes 22, no. 4 (1993): 78–84. http://dx.doi.org/10.1108/eb005979.

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Dissertations / Theses on the topic "Meta AI"

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Al-Shihi, Hamda D. A. "A transdisciplinary study of embodiment in HCI, AI and New Media." Thesis, University of Bradford, 2012. http://hdl.handle.net/10454/6330.

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The aim of this thesis is to report on a transdisciplinary approach, regarding the complexity of thinking about human embodiment in relation to machine embodiment. A practical dimension of this thesis is to elicit some principles for the design and evaluation of virtual embodiment. The transdisciplinary approach suggests, firstly, that a single discipline or reality is, on its own, not sufficient to explain the complexity and dynamism of the embodied interaction between the human and machine. Secondly, the thesis argues for thinking of transdisciplinary research as a process of individuation,
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Al-Shihi, Hamda Darwish Ali. "A transdisciplinary study of embodiment in HCI, AI and New Media." Thesis, University of Bradford, 2012. http://hdl.handle.net/10454/6330.

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The aim of this thesis is to report on a transdisciplinary approach, regarding the complexity of thinking about human embodiment in relation to machine embodiment. A practical dimension of this thesis is to elicit some principles for the design and evaluation of virtual embodiment. The transdisciplinary approach suggests, firstly, that a single discipline or reality is, on its own, not sufficient to explain the complexity and dynamism of the embodied interaction between the human and machine. Secondly, the thesis argues for thinking of transdisciplinary research as a process of individuation,
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Grönqvist, Hampus, and David Zetterdahl. "METAL IN YOUR BRAIN - AI." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-36147.

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Denna rapport går igenom utvecklingen av spelet Metal in Your Brain som skickas in som ett bidrag till Swedish Game Awards (SGA), nordens största spelutvecklar-tävling och hur den artificiella intelligensen är uppbyggd och funktionerar. Den artificiella intelligensen är konstruerad på två sätt: fuzzy logic som står bakom de handlingar som en icke spelande karaktär (NPC) tar beroende på vilken situation den befinner sig i och A*-sökning som används för att en NPC ska kunna söka sig fram till ett mål och ta den kortaste vägen eller fly från spelaren för att gömma sig bakom närmsta skydd. Metal i
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Fischetti, Francesca. "Meat analogues: le nuove alternative ai prodotti carnei." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.

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Il presente elaborato affronta la tematica dei prodotti analoghi della carne, che già a partire da qualche anno si stanno affacciando sul mercato internazionale, con una domanda e offerta continuamente in espansione. Lo scopo dello studio è stato quello di delineare un quadro generale di tali prodotti da un punto di vista delle sue caratteristiche intrinseche e analizzandone le prospettive future di mercato, effettuando un’indagine sul consumatore, riguardante la percezione, la propensione all’acquisto e i motivi di tale scelta. La tesi si distingue in una prima sezione di tipo compilativo,
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Karantzalis, Alexander E. "Characterisation of AI MMCs manufactured by a flux casting process." Thesis, University of Nottingham, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243346.

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Lyubchyk, Andriy. "Gas adsorption in the MIL-53(AI) metal organic framework. Experiments and molecular simulation." Doctoral thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/10932.

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Dissertação para obtenção do Grau de Doutor em Engenharia Química<br>FCT - PhD Fellowship at Universidade Nova de Lisboa, Department of Chemistry (bolsa N SFRH/BD/45477/2008); FCT Program, project PTDC/AAC-AMB/108849/2008; NANO_GUARD, Project N°269138; Programme “PEOPLE” – Call ID “FP7-PEOPLE-2010-IRSES”
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Douin, Joël. "Structure fine des dislocations et plasticité dans Ni(3)Ai." Poitiers, 1987. http://www.theses.fr/1987POIT2313.

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Etude detaillee de l'evolution de la structure fine des dislocations dans une large gamme de temperature autour du pic de limite elastique (600-700c). Analyse cristallographique de la structure ordonnee l1::(2) et des defauts plans de cette structure. Presentation, a partir de cette analyse, des resultats des simulations atomiques de paroi d'antiphase. Calcul de forme et d'energie de dislocations en elasticite anisotrope. Analyse du mecanisme de formation des defauts d'empilement. Etude, en fonction de la temperature d'essai, de la structure fine des dislocations. Influence d'une variation de
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SANTOS, Fábio Astrogildo dos. "Estudo da variação da relação SIO₂/AI₂O₃ na produção de geopolímeros para imobilizar contaminantes." Universidade Federal de Pernambuco, 2017. https://repositorio.ufpe.br/handle/123456789/27562.

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Submitted by Pedro Barros (pedro.silvabarros@ufpe.br) on 2018-09-27T21:19:03Z No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) DISSERTAÇÃO Fábio Astrogildo dos Santos.pdf: 1235082 bytes, checksum: e1815e7bc9a7d27c3cdd2cfd05640233 (MD5)<br>Approved for entry into archive by Alice Araujo (alice.caraujo@ufpe.br) on 2018-11-20T18:42:11Z (GMT) No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) DISSERTAÇÃO Fábio Astrogildo dos Santos.pdf: 1235082 bytes, checksum: e1815e7bc9a7d27c3cdd2cfd05640233 (MD5)<br>Made ava
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Wang, Ai Verfasser], Ullrich [Akademischer Betreuer] [Englert, and Richard [Akademischer Betreuer] Dronskowski. "Molecular Solids:High Resolution Diffraction Experiments and Chirality Transfer from Ligand to Metal / Ai Wang ; Ullrich Englert, Richard Dronskowski." Aachen : Universitätsbibliothek der RWTH Aachen, 2017. http://d-nb.info/1162499397/34.

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CURIA, FRANCESCO. "Explainable clinical decision support system: opening black-box meta-learner algorithm expert's based." Doctoral thesis, 2021. http://hdl.handle.net/11573/1538472.

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Mathematical optimization methods are the basic mathematical tools of all artificial intelligence theory. In the field of machine learning and deep learning the examples with which algorithms learn (training data) are used by sophisticated cost functions which can have solutions in closed form or through approximations. The interpretability of the models used and the relative transparency, opposed to the opacity of the black-boxes, is related to how the algorithm learns and this occurs through the optimization and minimization of the errors that the machine makes in the learning process. In pa
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Books on the topic "Meta AI"

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Xu, Jiuping, Mitsuo Gen, Zongmin Li, and YoungSu Yun. Sustainable Logistics Systems Using AI-based Meta-Heuristics Approaches. Routledge, 2023. http://dx.doi.org/10.4324/9781032634401.

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Kumar, Shailendra, and Hussein M. A. Hussein, eds. AI Applications in Sheet Metal Forming. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2251-7.

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Chen, Peici. Ai ku bao zi =: Crybaby meat buns. Xiao xiao tian di gu fen you xian gong si, 2002.

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Papadēmētriou-Doukas, Nikos D. Acta Vatopedii (mesa 15ou-telē 17ou ai.). Dēmokriteio Panepistēmio Thrakēs, 2015.

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Anastasopoulos, Nikolaos A. Hē lēsteia sto Hellēniko kratos: (mesa 19ou-arches 20ou ai.). Vivliopōleion tēs "Hestias", I.D. Kollarou & Sias A.E., 2018.

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Anoyatis-Pelé, Dimitris. Oikistiko plegma kai thnēsimoteta stous Paxous: Mesa 19ou - telos 20ou ai. Ekdoseis Papazēsē, 2011.

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Gkioles, Nikolaos. Ho Vyzantinos troullos kai to eikonographiko tou programma: Mesa 6ou ai.-1204. Ekdoseis Kardamitsa, 1990.

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Papageōrgiou, Giōrgos. Oikonomikoi kai koinōnikoi mēchanismoi ston oreino chōro: Zagori, mesa 18ou-arches 20ou ai. Ekdoseis Rizareiou Scholēs, 1995.

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Dualibe, Carlos. Design of analog fuzzy logic controllers in CMOS technologies: Implementation, test, and application. Kluwer Academic Publishers, 2003.

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Chatzēantōniou, Elisavet. Hē mētropolē Thessalonikēs apo ta mesa tou 8ou ai. eōs to 1430: Hierarchikē taxē, ekklēsiastikē periphereia, dioikētikē organōsē. Kentro Vyzantinōn Ereunōn, 2007.

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Book chapters on the topic "Meta AI"

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Iba, Hitoshi. "Meta-heuristics." In AI and SWARM. CRC Press, 2019. http://dx.doi.org/10.1201/9780429027598-3.

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Cagle, Anton, and Ahmed Ceifelnasr Ahmed. "Meta Systems." In Architecting Enterprise AI Applications. Apress, 2024. https://doi.org/10.1007/979-8-8688-0902-6_2.

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Yee-King, Matthew John. "The meta-controller." In Build AI-Enhanced Audio Plugins with C++. Focal Press, 2024. http://dx.doi.org/10.4324/9781003365495-14.

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Yee-King, Matthew John. "Plugin meta-controller." In Build AI-Enhanced Audio Plugins with C++. Focal Press, 2024. http://dx.doi.org/10.4324/9781003365495-18.

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Raynaut, William, Chantal Soule-Dupuy, and Nathalie Valles-Parlangeau. "Meta-mining Evaluation Framework: A Large Scale Proof of Concept on Meta-learning." In AI 2016: Advances in Artificial Intelligence. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50127-7_18.

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Yee-King, Matthew John. "From plugin host to meta-controller." In Build AI-Enhanced Audio Plugins with C++. Focal Press, 2024. http://dx.doi.org/10.4324/9781003365495-21.

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Tukra, Samyakh, Niklas Lidströmer, and Hutan Ashrafian. "Meta Learning and the AI Learning Process." In Artificial Intelligence in Medicine. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58080-3_327-1.

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Tukra, Samyakh, Niklas Lidströmer, and Hutan Ashrafian. "Meta Learning and the AI Learning Process." In Artificial Intelligence in Medicine. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-64573-1_327.

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Peixoto, Eduardo, Diogo Torres, Davide Carneiro, Bruno Silva, and Paulo Novais. "Efficient MLOps: Meta-learning Meets Frugal AI." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-86489-6_26.

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Abstract The advent of large Machine Learning models and the steep increase in the demand for AI solutions occurs at the same point in time in which policies are being enacted to implement more sustainable processes in virtually every sector. This means there is a need for more, better and larger models, which require significant computational resources, while at the same time a call for a decrease in the energy spent in the processes associated to MLOps. In this paper we propose a reduced set of meta-features that can be used to characterize sets of data and their relationship with model performance. We start from a large set of 66 features, and reduce it to only 10 while maintaining the strength of this relationship. This ensures a process of meta-feature extraction and prediction of model performance that is in line with the desiderata of Frugal AI, allowing to develop more efficient ML processes.
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Cannizzaro, Francesco. "Gli errores (meta)letterari del Meandro da Augusto ai Flavi." In Studi e ricerche del Dipartimento di Lettere e Filosofia. Società Editrice Fiorentina, 2024. http://dx.doi.org/10.35948/dilef/978-88-6032-734-5.11.

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Il Meandro, fiume tortuoso per antonomasia tanto da dare il suo nome a un tipo di decorazione assai diffuso nell’arte greco-romana, in età augustea assume talora valore metaletterario sia come garanzia di epicità, a motivo del suo legame con il labirinto e l’antica Troia, sia viceversa come modello di una poetica “erratica”, metamorfica e vicina al polo dell’elegia. In questo contributo saranno brevemente analizzati e commentati in tal senso alcuni testi di Virgilio (Aen. V 250-251), Ovidio (met. VIII 159- 168; epist. IX 55-58) e Properzio (II 34, 33-40); sarà, infine, considerata la fortuna (meta) letteraria del Meandro in età neroniana (soprattutto, in Sen. Herc. f. 679-685) e nell’epica flavia (Stat. Theb. VI 540-542, Sil. VII 139-140).
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Conference papers on the topic "Meta AI"

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Yang, Shuo, Jianyu Niu, and Yinqian Zhang. "SoK: AI-Powered Security Analysis of Smart Contract." In 2024 International Conference on Meta Computing (ICMC). IEEE, 2024. https://doi.org/10.1109/icmc60390.2024.00017.

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Majumdar, Arka. "Meta-optical encoders for AI accelerators." In Photonic Computing: From Materials and Devices to Systems and Applications, edited by Xingjie Ni and Wenshan Cai. SPIE, 2024. http://dx.doi.org/10.1117/12.3026915.

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Majumdar, Arka. "Meta-optical encoders for high-resolution, real-time computer vision." In AI and Optical Data Sciences VI, edited by Masaya Notomi and Tingyi Zhou. SPIE, 2025. https://doi.org/10.1117/12.3035013.

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Jahns, Jürgen, and Waldemar Spiller. "AI-based model for reducing the computational effort for optical meta-surfaces." In AI and Optical Data Sciences VI, edited by Masaya Notomi and Tingyi Zhou. SPIE, 2025. https://doi.org/10.1117/12.3038899.

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G, Shreeja, Shruthi Kannan, and Soubraylu Sivakumar. "Solar Power Output Prediction with AI: Leveraging Meta Learner Ensemble Stacked Regressor." In 2024 International Conference on Integration of Emerging Technologies for the Digital World (ICIETDW). IEEE, 2024. https://doi.org/10.1109/icietdw61607.2024.10939884.

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Nath, Sagnik, and So Yoon Yoon. "WIP: Beyond Code: Evaluating ChatGPT, Gemini, Claude, and Meta AI as AI Tutors in Computer Science and Engineering Education." In 2024 IEEE Frontiers in Education Conference (FIE). IEEE, 2024. https://doi.org/10.1109/fie61694.2024.10893528.

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Liu, Han. "Research on AI Algorithm to Improve Visual Communication Fidelity in the Meta-universe." In 2024 4th Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS). IEEE, 2024. http://dx.doi.org/10.1109/acctcs61748.2024.00112.

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Miyata, Hiroshi, Kazutami Arimoto, Masatoshi Saitoh, et al. "Distributed Hierarchical AI Architecture for Meta-Described Local Dynamic Maps in Autonomous Driving." In 2024 16th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE, 2024. http://dx.doi.org/10.1109/iiai-aai63651.2024.00113.

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Saravanan, T., Devisetty Shashi Preetham, and A. Venkatasubramanian. "Optimized Adaptive Routing and Link Health Management in Mobile Ad Hoc Networks using Enhanced Meta Ant Advanced Beaconing with Integrated Auto-Repair and Security Protocols." In 2025 AI-Driven Smart Healthcare for Society 5.0. IEEE, 2025. https://doi.org/10.1109/ieeeconf64992.2025.10962821.

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Jiang, Chenxi, Zichang Liu, Tianle Zhang, Jing Cao, Yicong Li, and Hairu Wen. "LMAT-ND: A Meta-Attention-Enhanced Llama-7B Model for AI-Generated News Detection." In 2025 5th International Conference on Consumer Electronics and Computer Engineering (ICCECE). IEEE, 2025. https://doi.org/10.1109/iccece65250.2025.10985603.

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Reports on the topic "Meta AI"

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Wang, Dengchao, Jinshan Liu, and Yong Cheng. AI-Assisted Diagnosis on Adenomas of Different Sizes: A Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2025. https://doi.org/10.37766/inplasy2025.3.0070.

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Strauss, Ilan, Isobel Moure, Tim O’Reilly, and Sruly Rosenblat. The State of AI Governance Research: AI Safety and Reliability in Real World Commercial Deployment. AI Disclosures Project, Social Science Research Council, 2025. https://doi.org/10.35650/aidp.4112.d.2025.

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Drawing on 1,178 safety and reliability papers from 9,439 generative AI papers (Jan- uary 2020 - March 2025), we compare research outputs of leading AI companies (An- thropic, Google DeepMind, Meta, Microsoft, and OpenAI) and AI universities (CMU, MIT, NYU, Stanford, UC Berkeley, and University of Washington). We find that cor- porate AI research increasingly concentrates on pre-deployment areas — model align- ment and testing &amp; evaluation — while attention to deployment-stage issues, such as model bias, has waned, as commercial imperatives and existential risks have come into focus. We fi
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Saghiri, Mohammad, Ravinder Saini, and Ahid Alshahrani. AI in Managing Dental Anxiety: A Meta-Analysis of AI Interventions Aimed at Reducing Anxiety in Dental Patients During Procedures, and Their Impact on Treatment Outcomes. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2024. https://doi.org/10.37766/inplasy2024.12.0055.

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Song, Qingping, Wei Yang, Zhen Meng, and Jinyan Wang. Protocol for a systematic review and meta-analysis of Kang-ai injection for patients with Oesophageal cancer. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2020. http://dx.doi.org/10.37766/inplasy2020.8.0019.

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Hermansen, Anna, and Cailean Osborne. The Economic and Workforce Impacts of Open Source AI: Insights from Industry, Academia, and Open Source Research Publications. The Linux Foundation, 2025. https://doi.org/10.70828/itvq4899.

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In a literature review commissioned by Meta, LF Research found that open source AI (OSAI) is widely adopted, cost effective, highly performing, and leads to faster and higher-quality development of tools and models. The study included a comprehensive analysis of academic and industry literature as well as empirical data from previous LF Research surveys to determine existing evidence of the economic and workforce impacts of OSAI. The study assessed these impacts in four areas: Adoption rates: a significant majority (89%) of organizations are using some form of open source in their AI stack and
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WANG, MIN, Sheng Chen, Changqing Zhong, et al. Diagnosis using artificial intelligence based on the endocytoscopic observation of the gastrointestinal tumours: a systematic review and meta-analysis. InPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.2.0096.

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Review question / Objective: With the development of endoscopic techniques, several diagnostic endoscopy methods are available for the diagnosis of malignant lesions, including magnified pigmented endoscopy and narrow band imaging (NBI).The main goal of endoscopy is to achieve the real-time diagnostic evaluation of the tissue, allowing an accurate assessment comparable to histopathological diagnosis based on structural and cellular heterogeneity to significantly improve the diagnostic rate for cancerous tissues. Endocytoscopy (ECS) is based on ultrahigh magnification endoscopy and has been app
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Qin, Ling, Qiyu Liu, Hui Wang, and Lipeng Sun. Accuracy of ultrasound in distinguishing pathology of malignant thyroid diseases: A protocol for systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.12.0072.

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Review question / Objective: This meta-analysis aimed to determine the accuracy of ultrasound in distinguishing pathology of malignant thyroid diseases. Eligibility criteria: Type of study. This study will only include high quality clinical cohort or case control studies. Type of patients. The patients should be those who had undergone breast diseases. Intervention and comparison. This study compares AI with pathology for diagnosing breast diseases. Type of outcomes. The primary outcomes include sensitivity, specificity, positive and negative likelihood ratio, diagnostic odds ratio, and the ar
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Shi, Youyun, Jinshan Liu, Anyin Wang, Dengchao Wang, and Yong Cheng. Effect of AI-assisted Diagnosis on Adenomas of Different Sizes: A Meta-Analysis with Evidence from RCTs and Trial Sequential Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2025. https://doi.org/10.37766/inplasy2025.4.0038.

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Pasupuleti, Murali Krishna. Neuromorphic Nanotech: 2D Materials for Energy-Efficient Edge Computing. National Education Services, 2025. https://doi.org/10.62311/nesx/rr325.

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Abstract The demand for energy-efficient, real-time computing is driving the evolution of neuromorphic computing and edge AI systems. Traditional silicon-based processors struggle with power inefficiencies, memory bottlenecks, and scalability limitations, making them unsuitable for next-generation low-power AI applications. This research report explores how 2D materials, such as graphene, transition metal dichalcogenides (TMDs), black phosphorus, and MXenes, are enabling the development of neuromorphic architectures that mimic biological neural networks for high-speed, ultra-low-power computat
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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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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;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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