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Artykuły w czasopismach na temat "Embedded artificial intelligence (AI)"
Yoon, Young Hyun, Dong Hyun Hwang, Jun Hyeok Yang i Seung Eun Lee. "Intellino: Processor for Embedded Artificial Intelligence". Electronics 9, nr 7 (18.07.2020): 1169. http://dx.doi.org/10.3390/electronics9071169.
Pełny tekst źródłaOrtmeyer, Cliff. "AI Options for Embedded Systems". New Electronics 52, nr 3 (12.02.2019): 26–27. http://dx.doi.org/10.12968/s0047-9624(22)60909-x.
Pełny tekst źródłaZhang, Zhaoyun, i Jingpeng Li. "A Review of Artificial Intelligence in Embedded Systems". Micromachines 14, nr 5 (22.04.2023): 897. http://dx.doi.org/10.3390/mi14050897.
Pełny tekst źródłaGusti, Wahyu Ramadhani. "Embedded System Training Kit for Artificial Intelligence". International Journal of Information and Education Technology 14, nr 1 (2024): 72–80. http://dx.doi.org/10.18178/ijiet.2024.14.1.2026.
Pełny tekst źródłaHwang, Dong Hyun, Chang Yeop Han, Hyun Woo Oh i Seung Eun Lee. "ASimOV: A Framework for Simulation and Optimization of an Embedded AI Accelerator". Micromachines 12, nr 7 (19.07.2021): 838. http://dx.doi.org/10.3390/mi12070838.
Pełny tekst źródłaChoudhury, Avishek, i Onur Asan. "Human factors: bridging artificial intelligence and patient safety". Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 9, nr 1 (wrzesień 2020): 211–15. http://dx.doi.org/10.1177/2327857920091007.
Pełny tekst źródłaYeo, K. K. "Artificial intelligence in cardiology: did it take off?" Russian Journal for Personalized Medicine 2, nr 6 (21.01.2023): 16–22. http://dx.doi.org/10.18705/2782-3806-2022-2-6-16-22.
Pełny tekst źródłaAzizah, Desi, Aji Wibawa i Laksono Budiarto. "Hakikat Epistemologi Artificial Intelligence". Jurnal Inovasi Teknologi dan Edukasi Teknik 1, nr 8 (25.08.2021): 592–98. http://dx.doi.org/10.17977/um068v1i82021p592-598.
Pełny tekst źródłaMarcinowski, Maciej. "Artificial Intelligence or the Ultimate Tool for Conservatism". DANUBE 13, nr 1 (1.03.2022): 1–12. http://dx.doi.org/10.2478/danb-2022-0001.
Pełny tekst źródłaAntonov, Alexander. "Managing complexity: the EU’s contribution to artificial intelligence governance". Revista CIDOB d'Afers Internacionals, nr 131 (22.09.2022): 41–65. http://dx.doi.org/10.24241/rcai.2022.131.2.41/en.
Pełny tekst źródłaRozprawy doktorskie na temat "Embedded artificial intelligence (AI)"
Antonini, Mattia. "From Edge Computing to Edge Intelligence: exploring novel design approaches to intelligent IoT applications". Doctoral thesis, Università degli studi di Trento, 2021. http://hdl.handle.net/11572/308630.
Pełny tekst źródłaAntonini, Mattia. "From Edge Computing to Edge Intelligence: exploring novel design approaches to intelligent IoT applications". Doctoral thesis, Università degli studi di Trento, 2021. http://hdl.handle.net/11572/308630.
Pełny tekst źródłaChollet, Nicolas. "Embedded-AI-enabled semantic IoT platform for agroecology". Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG078.
Pełny tekst źródłaModern agriculture requires a profound transformation to address the challenges of sustainable development while qualitatively and quantitatively feeding the growing global population. In this light, farmers are adopting "Smart Farming" also called precision agriculture. It is an agricultural method that leverages technology to enhance the efficiency, productivity, and sustainability of agricultural production. This approach encompasses the use of sensors, the Internet of Things (IoT), Artificial Intelligence (AI), data analysis, robotics, and various other digital tools optimizing aspects such as soil management, irrigation, pest control, and livestock management. The goal is to increase production while reducing resource consumption, minimizing waste, and improving product quality. However, despite its benefits and successful deployment in various projects, smart agriculture encounters limitations, especially within the context of IoT. Firstly, platforms must be capable of perceiving data in the environment, interpreting it, and making decisions to assist in farm management. The volume, variety, and velocity of those data, combined with a wide diversity of objects and the advent of AI embedded in sensors, make communication challenging on wireless agricultural networks. Secondly, research tends to focus on projects addressing the issues of non-sustainable conventional agriculture, and projects related to small-scale farms focused on agroecology are rare. In this context, this thesis explores the creation of an IoT platform comprised of a network of semantic smart sensors, aiming to guide farmers in transitioning and managing their farm sustainably while minimizing human intervention
MAZZIA, VITTORIO. "Machine Learning Algorithms and their Embedded Implementation for Service Robotics Applications". Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2968456.
Pełny tekst źródłaHasanzadeh, Mujtaba, i Alexandra Hengl. "Real-Time Pupillary Analysis By An Intelligent Embedded System". Thesis, Mälardalens högskola, Inbyggda system, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-44352.
Pełny tekst źródłaKarlsson, Marcus. "Developing services based on Artificial Intelligence". Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-73090.
Pełny tekst źródłaDenna uppsats utforskar utvecklingsprocessen av tjänster baserade på artificiell intelligens (AI) i en industriell miljö. Tekniken har fått ett förnyat intresse vilket har lett till att allt fler ledande teknik företag och start-up:s har integrerat AI i deras marknads erbjudande. Teknikens generella applikations möjlighet för att kunna förbättra produkter och tjänster tillsammans med dess automatiserings möjlighet för ökad operationell effektivitet gör den till en värdefull tillgång för företag. Dock så är implementations graden fortfarande låg för majoriteten av industrins aktörer. Forskningen inom AI området har varit mycket teknik dominerat med lite bidrag från andra forskningsdiscipliner. Därför syftar denna uppsats att identifiera utvecklingsutmaningar med AI tjänster och genom att hämta delar från tjänsteutveckling- och värde teori generera ett processramverk som premierar implementation. Uppsatsen har två huvudsakliga forskningsbidrag. Först genom att jämföra skillnader mellan teoretiska och praktiska utvecklingsutmaningar, sedan bidra genom att kombinera AI med tjänsteutveckling- och värdeteori. Den empiriska forskningen utfördes genom en fallstudie baserad på ett systematic combining tillvägagångsätt. På så sätt rör sig forskning iterativt mellan teori och empiri för att forma och stödja uppsatsen genom arbetet. Datat var insamlad genom semi strukturerade intervjuer med två separata, medvetet valda intervjugrupper där ena utgjorde en AI expert grupp och andra en intern grupp för fallstudien. Detta stöttades av deltagande observationer inom fallstudiens miljö. Dataanalysen utfördes med metoden flexible pattern matching. Resultatet var uppdelat i två olika sektioner, den första med praktiska utmaningar och den andra med utvecklingsaspekter av AI tjänsteutveckling. Dessa kombinerades med de utvalda teorierna för att skapa ett processramverk. Uppsatsen visar ett under studerat område angående affär och organisation i relation till AI tjänsteutveckling. Ett flertal av sådana utmaningar identifierades med begränsat stöd i existerande forskningslitteratur. För en mer utbredd adoption av AI tekniken behövs mer forskning för att förstå hur AI ska integreras med organisationer. Vidare, hållbarhet och etiska aspekter var inte en primär aspekt i resultatet, endast bemött i en av intervjuerna trots samlingen av artiklar och identifierade risker i litteraturen. Till sist, det tvärvetenskapliga angreppsättet var givande för AI området för att bättre integrera tekniken till en industriell miljö. Det utvecklade processramverket kunde bygga på existerande tjänsteutvecklings modeller för att hantera de identifierade utmaningarna.
ALAMEH, MOHAMAD. "Embedded Artificial Intelligence for Tactile Sensing". Doctoral thesis, Università degli studi di Genova, 2021. http://hdl.handle.net/11567/1039756.
Pełny tekst źródłaKim, Jee Won. "How speciesism affects artificial intelligence (AI) adoption intent". Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/228673/1/Jee%20Won_Kim_Thesis.pdf.
Pełny tekst źródłaFatima, Samar. "Mapping artificial intelligence affordances for the public sector". Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/235926/1/Samar%2BFatime%2BThesis.pdf.
Pełny tekst źródłaMalmborn, Albin, i Linus Sjöberg. "Implementing Artificial intelligence". Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20942.
Pełny tekst źródłaThe purpose of this paper is to investigate the possibilities to develop guidelines for businesses to take into account before an implementation of artificial intelligence. The study will highlight different factors that will help companies to understand what is required to make this kind of digital transition, it will also highlight the obstacles companies have to overcome in order to succeed. The data collection was conducted in two parts, first a literature study and then qualitative, semi-structured interviews. These were analyzed with their own analysis which supplement each other, and interpreted to identify patterns that could answer the study's main question: What must Swedish organizations in the private sector consider in order to successfully implement Artificial Intelligence in their operations?The result of the study has been produced by comparing scientific texts and interviews, to investigate whether the academic and practical views differ. The study resulted in eight factors that companies should consider before implementing artificial intelligence. The authors hope that the study will promote Swedish development in artificial intelligence and thus generate a greater national value and international competitiveness.
Książki na temat "Embedded artificial intelligence (AI)"
Vermesan, Ovidiu, Mario Diaz Nava i Björn Debaillie. Embedded Artificial Intelligence. New York: River Publishers, 2023. http://dx.doi.org/10.1201/9781003394440.
Pełny tekst źródłaBhateja, Vikrant, Suresh Chandra Satapathy i Hassan Satori, red. Embedded Systems and Artificial Intelligence. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0947-6.
Pełny tekst źródłaAlareeni, Bahaaeddin A. M., i Islam Elgedawy, red. Artificial Intelligence (AI) and Finance. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39158-3.
Pełny tekst źródłaArtificial intelligence. Wyd. 3. Reading, Mass: Addison-Wesley Pub. Co., 1992.
Znajdź pełny tekst źródłaArtificial intelligence. Wyd. 3. Reading, Mass: Addison-Wesley, 1992.
Znajdź pełny tekst źródłaWinston, Patrick Henry. Artificial intelligence. Wyd. 3. Reading, MA: Addison-Wesley, 1993.
Znajdź pełny tekst źródłaSurviving AI. [Place of publication not identified]: Three Cs, 2015.
Znajdź pełny tekst źródłaLong, Guodong, Xinghuo Yu i Sen Wang, red. AI 2021: Advances in Artificial Intelligence. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97546-3.
Pełny tekst źródłaNicholson, Ann, i Xiaodong Li, red. AI 2009: Advances in Artificial Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10439-8.
Pełny tekst źródłaPeng, Wei, Damminda Alahakoon i Xiaodong Li, red. AI 2017: Advances in Artificial Intelligence. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63004-5.
Pełny tekst źródłaCzęści książek na temat "Embedded artificial intelligence (AI)"
Vermesan, Ovidiu, i Marcello Coppola. "Edge AI Platforms for Predictive Maintenance in Industrial Applications". W Embedded Artificial Intelligence, 89–104. New York: River Publishers, 2023. http://dx.doi.org/10.1201/9781003394440-9.
Pełny tekst źródłaMateu, Loreto, Johannes Leugering, Roland Müller, Yogesh Patil, Maen Mallah, Marco Breiling i Ferdinand Pscheidl. "Tools and Methodologies for Edge-AI Mixed-Signal Inference Accelerators". W Embedded Artificial Intelligence, 25–34. New York: River Publishers, 2023. http://dx.doi.org/10.1201/9781003394440-3.
Pełny tekst źródłaMiro-Panades, Ivan, Inna Kucher, Vincent Lorrain i Alexandre Valentian. "Meeting the Latency and Energy Constraints on Timing-critical Edge-AI Systems". W Embedded Artificial Intelligence, 61–67. New York: River Publishers, 2023. http://dx.doi.org/10.1201/9781003394440-6.
Pełny tekst źródłaAdadi, Amina, i Mohammed Berrada. "Explainable AI for Healthcare: From Black Box to Interpretable Models". W Embedded Systems and Artificial Intelligence, 327–37. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0947-6_31.
Pełny tekst źródłaFoulds, James, i Eibe Frank. "Revisiting Multiple-Instance Learning Via Embedded Instance Selection". W AI 2008: Advances in Artificial Intelligence, 300–310. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89378-3_29.
Pełny tekst źródłaKhalili, Ali, Massimo Narizzano i Armando Tacchella. "Learning for Verification in Embedded Systems: A Case Study". W AI*IA 2016 Advances in Artificial Intelligence, 525–38. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49130-1_38.
Pełny tekst źródłaLosavio, Michael. "Forensic Proof and Criminal Liability for Development, Distribution and Use of Artificial Intelligence". W AI Embedded Assurance for Cyber Systems, 37–48. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-42637-7_3.
Pełny tekst źródłaPurkayastha, Saptarshi, Rohan Isaac, Sharon Anthony, Shikhar Shukla, Elizabeth A. Krupinski, Joshua A. Danish i Judy Wawira Gichoya. "A General-Purpose AI Assistant Embedded in an Open-Source Radiology Information System". W Artificial Intelligence in Medicine, 373–77. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-34344-5_46.
Pełny tekst źródłaDignum, Virginia. "Responsible Artificial Intelligence: Recommendations and Lessons Learned". W Social and Cultural Studies of Robots and AI, 195–214. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-08215-3_9.
Pełny tekst źródłaBeckwith, Amy M., Berthe Y. Choueiry i Hui Zou. "How the Level of Interchangeability Embedded in a Finite Constraint Satisfaction Problem Affects the Performance of Search". W AI 2001: Advances in Artificial Intelligence, 50–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45656-2_5.
Pełny tekst źródłaStreszczenia konferencji na temat "Embedded artificial intelligence (AI)"
Alyoshina, Irina. "Artificial Intelligence for University Marketing". W III International Conference Technology & Entrepreneurship in Digital Society. Real Economy Publishing House, 2021. http://dx.doi.org/10.17747/teds-2020-17-21.
Pełny tekst źródłaBesimi, Nuhi, Adrian Besimi i Betim Cico. "Artificial Intelligence in Education and Learning (AI in Research)". W 2022 11th Mediterranean Conference on Embedded Computing (MECO). IEEE, 2022. http://dx.doi.org/10.1109/meco55406.2022.9797216.
Pełny tekst źródłaBanjanović-Mehmedović, Lejla, i Jasmin Jahić. "Integration of artificial intelligence in Industry 4.0: challenges, paradigms and applications". W Međunarodna naučna konferencija Aplikacija industrije 4.0 – prilika za novi iskorak u svim industrijskim granama. Academy of Sciences and Arts of Bosnia and Herzegovina, 2022. http://dx.doi.org/10.5644/pi2022.202.22.
Pełny tekst źródłaFulton, Richard, Diane Fulton i Susan Kaplan. "Artificial Intelligence: Framework of Driving Triggers to Past, Present and Future Applications and Influencers of Industry Sector Adoption". W 11th International Conference on Embedded Systems and Applications (EMSA 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120613.
Pełny tekst źródłaHe, Haofei, Pengjia Huang, Aimin Xiong, Jie Xiao, Fangwu Li i Weixing Zhou. "Design of Embedded Real-time Video Fire AI Recognition System". W 2021 International Conference on Computer Communication and Artificial Intelligence (CCAI). IEEE, 2021. http://dx.doi.org/10.1109/ccai50917.2021.9447481.
Pełny tekst źródłaWu, Honghan, Aneeta Sylolypavan, Minhong Wang i Sarah Wild. "Quantifying Health Inequalities Induced by Data and AI Models". W Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/721.
Pełny tekst źródłaSclavounos, Paul D., i Yu Ma. "Artificial Intelligence Machine Learning in Marine Hydrodynamics". W ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-77599.
Pełny tekst źródłaAhn, Byungmin, Jaehun Jang, Hanbyeul Na, Mankeun Seo, Hongrak Son i Yong Ho Song. "AI Accelerator Embedded Computational Storage for Large-Scale DNN Models". W 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS). IEEE, 2022. http://dx.doi.org/10.1109/aicas54282.2022.9869991.
Pełny tekst źródłaFlogie, Andrej, i Maja Vičič Krabonja. "Artificial Intelligence in Education: Developing Competencies and Supporting Teachers in Implementing AI in School Learning Environments". W 2023 12th Mediterranean Conference on Embedded Computing (MECO). IEEE, 2023. http://dx.doi.org/10.1109/meco58584.2023.10155054.
Pełny tekst źródłaSafley, Nick. "Artificial Connections: Finding the Architect’s Role in Text-to-Image Tectonics". W 112th ACSA Annual Meeting. ACSA Press, 2024. http://dx.doi.org/10.35483/acsa.am.112.30.
Pełny tekst źródłaRaporty organizacyjne na temat "Embedded artificial intelligence (AI)"
Bhatnagar, Ansh, i Devyani Gajjar. Policy implications of artificial intelligence (AI). Parliamentary Office of Science and Technology, styczeń 2024. http://dx.doi.org/10.58248/pn708.
Pełny tekst źródłaRinuado, Christina, William Leonard, Christopher Morey, Theresa Coumbe, Jaylen Hopson i Robert Hilborn. Artificial intelligence (AI)–enabled wargaming agent training. Engineer Research and Development Center (U.S.), kwiecień 2024. http://dx.doi.org/10.21079/11681/48419.
Pełny tekst źródłaArnold, Zachary, i Ngor Luong. China’s Artificial Intelligence Industry Alliance. Center for Security and Emerging Technology, maj 2021. http://dx.doi.org/10.51593/20200094.
Pełny tekst źródłaDiaz-Herrera, Jorge L. Artificial Intelligence (AI) and Ada: Integrating AI with Mainstream Software Engineering. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 1994. http://dx.doi.org/10.21236/ada286093.
Pełny tekst źródłaVilalta, Ricardo. A Gentle Introduction to Artificial Intelligence. Instats Inc., 2023. http://dx.doi.org/10.61700/ws1767apt7i86469.
Pełny tekst źródłaGillespie, Nicole, Caitlin Curtis, Rossana Bianchi, Ali Akbari i Rita Fentener van Vlissingen. Achieving Trustworthy AI: A Model for Trustworthy Artificial Intelligence. Australia: The University of Queensland and KPMG, listopad 2020. http://dx.doi.org/10.14264/ca0819d.
Pełny tekst źródłaWaugh, Gordon W., i Deirdre J. Knapp. Development of an Army Civilian Artificial Intelligence (AI) Specialty. Fort Belvoir, VA: Defense Technical Information Center, listopad 1997. http://dx.doi.org/10.21236/ada343149.
Pełny tekst źródłaBhatnagar, Ansh, i Devyani Gajjar. How is artificial intelligence affecting society? Parliamentary Office of Science and Technology, maj 2024. http://dx.doi.org/10.58248/rr15.
Pełny tekst źródłaKim, Kyungmee, i Boulanin Vincent. Artificial Intelligence for Climate Security: Possibilities and Challenges. Stockholm International Peace Research Institute, grudzień 2023. http://dx.doi.org/10.55163/qdse8934.
Pełny tekst źródłaMurdick, Dewey, i Patrick Thomas. Patents and Artificial Intelligence: A Primer. Center for Security and Emerging Technology, wrzesień 2020. http://dx.doi.org/10.51593/20200038.
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