Littérature scientifique sur le sujet « Artificial Intelligence of Thing »
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Articles de revues sur le sujet "Artificial Intelligence of Thing"
Seng, Kah Phooi, Li Minn Ang et Ericmoore Ngharamike. « Artificial intelligence Internet of Things : A new paradigm of distributed sensor networks ». International Journal of Distributed Sensor Networks 18, no 3 (mars 2022) : 155014772110628. http://dx.doi.org/10.1177/15501477211062835.
Texte intégralPeters, Ted. « Intelligence ? Not Artificial, but the Real Thing ! » Theology and Science 17, no 1 (2 janvier 2019) : 1–5. http://dx.doi.org/10.1080/14746700.2018.1557376.
Texte intégralLAWRENCE, DAVID R., CÉSAR PALACIOS-GONZÁLEZ et JOHN HARRIS. « Artificial Intelligence ». Cambridge Quarterly of Healthcare Ethics 25, no 2 (9 mars 2016) : 250–61. http://dx.doi.org/10.1017/s0963180115000559.
Texte intégralSupriyadi, Endang Irawan, et Dianing Banyu Asih. « IMPLEMENTASI ARTIFICIAL INTELLIGENCE (AI) DI BIDANG ADMINISTRASI PUBLIK PADA ERA REVOLUSI INDUSTRI 4.0 ». Jurnal RASI 2, no 2 (9 janvier 2021) : 12–22. http://dx.doi.org/10.52496/rasi.v2i2.62.
Texte intégralTakama, Yasufumi. « Web Intelligence and Artificial Intelligence ». Journal of Advanced Computational Intelligence and Intelligent Informatics 21, no 1 (20 janvier 2017) : 25–30. http://dx.doi.org/10.20965/jaciii.2017.p0025.
Texte intégralPark, Yeonsook. « Can Artworks by Artificial Intelligence be Artworks ? » AM Journal of Art and Media Studies, no 20 (15 octobre 2019) : 113. http://dx.doi.org/10.25038/am.v0i20.332.
Texte intégralLiebowitz, J. « If there is artificial intelligence ? Is there such a thing as artificial stupidity ». ACM SIGART Bulletin, no 109 (juillet 1989) : 26–28. http://dx.doi.org/10.1145/70632.70634.
Texte intégralДоценко, Серій Ілліч. « ПРО ПРИРОДНИЙ ТА ШТУЧНИЙ ІНТЕЛЕКТ КІБЕРНЕТИЧНИХ СИСТЕМ ». RADIOELECTRONIC AND COMPUTER SYSTEMS, no 3 (30 septembre 2019) : 4–18. http://dx.doi.org/10.32620/reks.2019.3.01.
Texte intégralTyagi, Dr Aarati, et Dr K. Manikyamba. « An Analysis of the Gory and Glory of Artificial Intelligence ». Journal of Artificial Intelligence, Machine Learning and Neural Network, no 25 (14 septembre 2022) : 1–14. http://dx.doi.org/10.55529/jaimlnn.25.1.14.
Texte intégralJoseph, Joby, et Catherin Edward. « Artificial Intelligence Literaturised in Jose Saramango’s Novels : An Endorsement of Creativity, Rationality and Magic Realism ». Think India 22, no 2 (17 octobre 2019) : 342–47. http://dx.doi.org/10.26643/think-india.v22i2.8734.
Texte intégralThèses sur le sujet "Artificial Intelligence of Thing"
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.
Texte intégralAntonini, 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.
Texte intégralBäckström, Amanda, et Hannah Larsson. « Is There Such A Thing As Too Much Intelligence ? : A qualitative study exploring how Born Global e-commerce companies are working towards adopting Artificial Intelligence into their Customer Relationship Management Systems ». Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-74865.
Texte intégralMa, Xin. « Optical characterization of ferromagnetic and multiferroic thin-film heterostructures ». W&M ScholarWorks, 2015. https://scholarworks.wm.edu/etd/1539623372.
Texte intégralNegrea, Andrei Liviu. « Optimization of energy efficiency for residential buildings by using artificial intelligence ». Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEI090.
Texte intégralConsumption, in general, represents the process of using a type of resource where savings needs to be done. Energy consumption has become one the main issue of urbanization and energy crisis as the fossil depletion and global warming put under threat the planet energy utilization. In this thesis, an automatic control of energy was developed to reduce energy consumption in residential area and passive house buildings. A mathematical model founded on empirical measurements was developed to emphasize the behavior of a testing laboratory from Universitatea Politehnica din București - Université Politechnica de Bucarest - Roumanie. The experimental protocol was carried out following actions such as: building parameters database, collecting weather data, intake of auxiliary flows while considering the controlling factors. The control algorithm is controlling the system which can maintain a comfortable temperature within the building with minimum energy consumption. Measurements and data acquisition have been setup on two different levels: weather and buildings data. The data collection is gathered on a server which was implemented into the testing facility running a complex algorithm which can control energy consumption. The thesis reports several numerical methods for estimating the energy consumption that is further used with the control algorithm. An experimental showcase based on dynamic calculation methods for building energy performance assessments was made in Granada, Spain, information which was later used in this thesis. Estimation of model parameters (resistances and capacities) with prediction of heat flow was made using nodal method, based on physical elements, input data and weather information. Prediction of energy consumption using state-space modeling show improved results while IoT data collection was uploaded on a Raspberry Pi system. All these results were stable showing impressive progress in the prediction of energy consumption and their application in energy field
Bahers, Quentin. « AI Planning-Based Service Modeling for the Internet of Things ». Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-246212.
Texte intégralAn, Yinan. « Building Smart Cities and Intelligent Societies in Australia with the Aid of Internet of Things, Big Data and Artificial Intelligence ». Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/23029.
Texte intégralSABBATINI, LUISIANA. « Artificial Intelligence and Internet of Things for Industry 4.0 and Society 5.0 : Exploration of Theories and Practices to Implement the Future ». Doctoral thesis, Università Politecnica delle Marche, 2022. http://hdl.handle.net/11566/295522.
Texte intégralThe societal context of today is shaped by two coexisting tendencies: technology-push and application-pull. The former is the emergence and rapid evolution and application of innovative technologies, in the realm of ICT (like IoT) and Data Analysis (like Artificial Intelligence, Machine and Deep Learning). The latter tendency is the trend of the market of today, built on requirements like low-cost, high-tech, customized, easily accessible, and so on so forth. Thanks to these coexisting and synergistic tendencies, the entire society is rapidly passing to the next level (hence Industry 4.0 and Society 5.0 paradigms). The reasoning that allowed this rapid evolution, has been the comprehension of the fact that making decisions based on real information extracted from the complex reality we live in, allows improvements in terms of costs, time, and quality. In almost every context, having good systems that allow the passage from raw actual data collected to meaningful knowledge is the key for success. From an architectural point of view, there are three main levels that allow the creation of knowledge and wisdom from the reality: acquisition, communication, and analytic. Innovation in either one or multiple levels is essential for the development of the worldwide community. This thesis presents several innovative contributions and technological explorations, belonging to either one or multiple levels, mostly focused in the realm of Industry 4.0 practices, like Condition-Based Maintenance, and Machine Vision Systems, and Society 5.0 practices, like e-Health devices and Visual-IoT systems for flood management in smart cities. IoT and AI technological paradigms have been deeply analysed from both a theoretical and practical point of view. Through their application in several research activities, each focused on specific aspects, the final aim of developing a broad and comprehensive understanding has been achieved. IoT is a revolutionary paradigm, which spans the three levels between raw data and meaningful knowledge, thus being a complex topic to deal with comprehensively. AI is an essential enabler for making IoT's impact tangible, and AI methodologies and techniques are diversified and complex too. For this reason, a bottom-up approach has been adopted, starting from a variety of real cases focused on a specific level, and each addressed rigorously applying the scientific method of research, global and adaptable knowledge about IoT and AI has been extracted. The sources of use cases have been private companies, National and International research projects, committed to Industry 4.0 and Society 5.0 paradigms, as will be presented. Specifically, the following research activities will be presented: an e-Health system based on wearable sensors, an IoT system for real-time building monitoring, a cross-protocol proxy for sensors networks, a Machine Vision algorithm for counting manually assembled pieces, a ML-based model for assessing the health status of a cartesian robot's drive belt, a ML-based model able to assess the health of an injection moulding machine based on process parameters collected by widespread sensors, an OCR-based system able to suggest maintenance intervention for painting robot's number plates, a Computer Vision solution for monitoring the water level of rivers through a camera framing the gauge, and a dynamic energy consumption rationing model for oil refining plants. By addressing more or less specific real cases centered on IoT and AI, it has been possible to understand architectural and software possibilities and peculiarities of the two paradigms. These wide variety of possibilities should be tuned in order to satisfy as better as possible context and task-specific requisites. Concluding, IoT and AI can benefit each other by the strict interconnection into the edge-AI paradigm, which together with in-network and cloud computing, have been found essential for the future successful achievement of smarter society.
Tundrea, Darius. « Artificial Intelligence is Getting Personal : A study on the Usage Motivations and Privacy Concerns of Intelligent Personal Assistants’ Users ». Thesis, Uppsala universitet, Medier och kommunikation, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-334967.
Texte intégralTimothy, Edward Bant Breen. « I think therefore I am… ? An exploration of artificial intelligence (AI) marketing practitioner perceptions and practices ». Doctoral thesis, Universitat Ramon Llull, 2020. http://hdl.handle.net/10803/668994.
Texte intégralEsta tesi explora las percepciones de la IA por parte de la industria de la publicidad y el marketing y las contrasta con el estado actual de desarrollo de la IA. La indústria de la publicidad es un punto focal interesante para discusiones relacionadas con la IA, ya que es una industria emblemática y creativa, a menudo vista como una área en que las máquinas únicamente puede copiar o dar soporte y no idear y crear. La IA es una inteligencia expuesta para máquinas. En la ciencia de la computación, una máquina “inteligente” ideal es un agente flexible y racional que percibe su entorno y toma acciones para minimizar sus posibilidades de éxito hacia un objetivo arbitrario (Russell y Norvig, 2013). Los desarrollos de la IA están cambiando la sociedad. Algunas mejoras son pequeñas, como por ejemplo la IA de Google en relación a las mejoras del Gmail para contestar los correos de modo más fácil y rápido. Otros cambios están en proceso. Este es el caso de las versiones de Tesla al software de vehículos autónomos. También están habiendo otros cambios como sucede con Echo, el asistente personal de Amazon para tu casa que se activa con la voz. Todos estos ejemplos y muchos más están haciendo posible que la IA forme parte de nuestro día a día. En el campo de los medios, Mark Zuckerberg, el fundador y CEO de Facebook, ofrece chat-bots en su plataforma de mensajería instantánea para empresas que quieran comunicarse con sus consumidores. En el mundo de la publicidad y el marketing, la IA está empezando a ser más que un tema de ciencia ficción o una estrategia a imitar por inercia. Creativos, ejecutivos en los medios de comunicación y emprendedores AdTech están activamente explorando la IA. En el 2016, la empresa de publicidad McCann anunció que su división joven japonesa para jóvenes llamada McCann Millennial había construido y estaba utilizando un director creativo basado en IA (Doland, 2016). En contraste con el movimiento hacia la IA, distintos creadores de anuncios míticos se mantienen firmemente comprometidos con la idea que la creatividad humana individual se mantenga en el centro del proceso creativo de los medios de comunicación y del marketing. En los últimos años, el legendario ejecutivo publicitario John Hegarty defendió el papel crítico que los humanos juegan para razonar y curar y, finalmente, crear un buen marketing (Arthur, 2016). Los resultados de la tesis se basan en una encuesta a grupos de interés clave de la publicidad y el mundo del marketing sobre el tema de la IA. Después de rellenar el cuestionario, un grupo más reducido de encuestados participó en entrevistas de seguimiento para ampliar sus opiniones sobre diversas áreas de la encuesta. Esta tesi explora el tema de la IA en el marketing y la percepción de la IA por parte de sus vendedores. Los resultados muestran una industria interesada con prudencia en la IA y en su potencial, pero que es todavía desconocida, y poco preparada para aquellos retos que este salto tecnológico presenta. La mayoría de los participantes en el estudio destacaron su comprensión limitada de la IA. De los 440 encuestados, la gran mayoría de los datos cayeron en el cuartil más bajo, situándose en el rango 3/3.5 sobre 10. Cuando se les preguntó cómo de creativa puede ser la IA, los participantes respondieron de forma negativa, con una media de 3.0 en una escala de 1 al 10. Cuando se les preguntó qué trabajos podrían ser sustituidos por la IA, la opción más popular cuando se referían a labores relacionadas con la creatividad, la estrategia y el liderazgo fue “no puede ser substituida por la IA”. Un 82% de los encuestados dijeron que sus empresas no ofrecían formación en IA.
This thesis explores perceptions of artificial intelligence (AI) by the advertising industry and contrasts those perceptions with the state of AI marketing development today. The advertising industry is an interesting focal point for a discussion regarding AI because it is one of the emblematic creatively focused industries, and creative is often viewed as an area where machines can only copy or support and not ideate. Artificial intelligence (AI) is the intelligence exhibited by machines. In computer science, an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at an arbitrary goal (Russell and Norvig, 2003). AI technology developments are changing society. Some are small improvements like Google's AI enhancements in its’ Gmail product that makes it easier and faster to respond to messages. Others are on-going shifts like Tesla's version iterations to autonomous vehicle software. And even others such as Echo, Amazon's voice-activated personal assistant for your home, begin to make AI-enabled machines part of daily life. In the media space, Facebook's Founder and CEO Mark Zuckerberg offers chat-bots in their instant messaging platform that speak to consumers for brands. In the advertising and marketing world, artificial intelligence is starting to be more than a science fiction topic or a nifty copy strategy. Creatives, media executives, and AdTech entrepreneurs are actively exploring AI. In 2016, the advertising firm McCann announced that their Japanese youth division titled McCann Millennials had built and was using an AI creative director (Doland, 2016). In contrast to the movement towards AI, several legendary ad creators remain firmly committed to the idea of the individual creative human being staying solely at the center of the media and marketing creative process. In recent years, legendary ad executive Sir John Hegarty, defended the critical role humans play to reason and curate and ultimately create great marketing (Arthur, 2016). The primary research for the thesis is a survey of key stakeholders in the advertising and marketing world on the topic of artificial intelligence. After fielding the questionnaire, a smaller set of respondents participated in follow-up interviews to expand their opinions on various areas of the survey. This thesis explores the topic of artificial intelligence in marketing and the perception of AI by marketers. The results show an industry cautiously interested in AI and its potential, but woefully unaware and unprepared for the challenges this technological leap-forward presents. The majority of participants in the study highlighted their limited understanding of AI. Out of the 440 respondents, the vast majority of the data fell in the lowest quartile, being in the 3/3.5 range out of 10. When asked how creative AI can be, participants consistently responded negatively, with an average of 3.0 on a scale of 1 to 10 in terms of how creative AI can become. When asked what jobs AI can replace, roles that received the highest number of mentions for "cannot be replaced by AI" were mostly creative, strategic or leadership. An astounding 82% of respondents said their companies did not offer training in AI. This thesis wrestles with the luddite and progressive perspectives of AI in marketing and the machine-learning breakthroughs that challenge the role of the marketing department and advertising industry.
Livres sur le sujet "Artificial Intelligence of Thing"
Peat, F. David. Artificial intelligence : How machines think. New York : Baen Books, 1988.
Trouver le texte intégralArtificial intelligence : How machines think. New York, N.Y : Baen Books, 1985.
Trouver le texte intégralGoyal, Lalit Mohan, Tanzila Saba, Amjad Rehman et Souad Larabi-Marie-Sainte. Artificial Intelligence and Internet of Things. Boca Raton : CRC Press, 2021. http://dx.doi.org/10.1201/9781003097204.
Texte intégralThillaiarasu, N., Suman Lata Tripathi et V. Dhinakaran. Artificial Intelligence for Internet of Things. Boca Raton : CRC Press, 2022. http://dx.doi.org/10.1201/9781003335801.
Texte intégralRussell, Stuart J. Do the right thing : Studies in limited rationality. Cambridge, Mass : MIT Press, 1991.
Trouver le texte intégralPal, Souvik, Debashis De et Rajkumar Buyya, dir. Artificial Intelligence-based Internet of Things Systems. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87059-1.
Texte intégral1917-, Hyde Margaret O., dir. Artificial intelligence : A revision of Computers that think ? Hillside, N.J : Enslow Publishers, 1986.
Trouver le texte intégralKumar, R. Lakshmana, Yichuan Wang, T. Poongodi et Agbotiname Lucky Imoize, dir. Internet of Things, Artificial Intelligence and Blockchain Technology. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74150-1.
Texte intégralRaj, Pethuru, Ashutosh Kumar Dubey, Abhishek Kumar et Pramod Singh Rathore, dir. Blockchain, Artificial Intelligence, and the Internet of Things. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-77637-4.
Texte intégralSoufiene, Ben Othman, Chinmay Chakraborty et Faris A. Almalki. Practical Artificial Intelligence for Internet of Medical Things. Boca Raton : CRC Press, 2023. http://dx.doi.org/10.1201/9781003315476.
Texte intégralChapitres de livres sur le sujet "Artificial Intelligence of Thing"
Singh, Ishita, Joy Gupta et K. P. Arjun. « Artificial Intelligence ». Dans Blockchain, Internet of Things, and Artificial Intelligence, 41–64. First edition. | Boca Raton : C&H/CRC Press, 2021. : Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9780429352898-4.
Texte intégralSingh, Ranbir, Amiya Kumar Dash, Ravinder Kumar, Anand Bewoor et Ashwini Kumar. « Internet of Things ». Dans Artificial Intelligence, 171–85. Boca Raton : CRC Press, 2021. http://dx.doi.org/10.1201/9781003095910-12.
Texte intégralBowman, Charles F. « What Is Artificial Intelligence ? » Dans How Things Work, 175–214. Boca Raton : Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003143437-9.
Texte intégralStolze, M. « Visual Critiquing in Domain Oriented Design Environments : Showing the Right Thing at the Right Place ». Dans Artificial Intelligence in Design ’94, 467–82. Dordrecht : Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0928-4_27.
Texte intégralJokanović, Vukoman. « Synthetic Biology and Artificial Intelligence ». Dans Computer Vision and Internet of Things, 141–75. Boca Raton : Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003244165-13.
Texte intégralStahl, Bernd Carsten, Doris Schroeder et Rowena Rodrigues. « The Ethics of Artificial Intelligence : A Conclusion ». Dans Ethics of Artificial Intelligence, 107–11. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17040-9_9.
Texte intégralMurthy, Ch V. N. U. Bharathi, et M. Lawanya Shri. « Artificial Intelligence for Blockchain II ». Dans Blockchain, Internet of Things, and Artificial Intelligence, 141–54. First edition. | Boca Raton : C&H/CRC Press, 2021. : Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9780429352898-8.
Texte intégralGupta, Joy, Ishita Singh et K. P. Arjun. « Artificial Intelligence for Blockchain I ». Dans Blockchain, Internet of Things, and Artificial Intelligence, 109–40. First edition. | Boca Raton : C&H/CRC Press, 2021. : Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9780429352898-7.
Texte intégralRedozubov, Alexey, et Dmitry Klepikov. « The Meaning of Things as a Concept in a Strong AI Architecture ». Dans Artificial General Intelligence, 290–300. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52152-3_30.
Texte intégralGupta, Shailja, et Mayank Khattar. « Internet of Things and Artificial Intelligence ». Dans Towards Smart World, 99–118. First edition. | Boca Raton : C&H/CRC Press, 2021. : Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9781003056751-7.
Texte intégralActes de conférences sur le sujet "Artificial Intelligence of Thing"
Tzavaras, Aimilios, Nikolaos Mainas, Fotios Bouraimis et Euripides G. M. Petrakis. « OpenAPI Thing Descriptions for the Web of Things ». Dans 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2021. http://dx.doi.org/10.1109/ictai52525.2021.00220.
Texte intégralBen Ali Kaddour, Asmaa, et Nidhal Abdulaziz. « Artificial Intelligence Pathologist : The use of Artificial Intelligence in Digital Healthcare ». Dans 2021 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT). IEEE, 2021. http://dx.doi.org/10.1109/gcaiot53516.2021.9693090.
Texte intégralMotah, Mahendrenath. « The Ontogeny of Memory and Learning : Natural Intelligence versus Artificial Intelligence in Information Technology Education ». Dans InSITE 2006 : Informing Science + IT Education Conference. Informing Science Institute, 2006. http://dx.doi.org/10.28945/3028.
Texte intégralBendík, Dávid, et Andrej Novák. « Artificial intelligence and its use in air transport ». Dans Práce a štúdie. University of Žilina, 2022. http://dx.doi.org/10.26552/pas.z.2022.1.18.
Texte intégralKavitha, P., B. Krishna Moorthy, P. S. Sudharshan et T. Aarthi. « Mapping Artificial Intelligence and Education ». Dans 2018 International Conference on Communication, Computing and Internet of Things (IC3IoT). IEEE, 2018. http://dx.doi.org/10.1109/ic3iot.2018.8668123.
Texte intégralTomić, Ivana, Ivan Pinćjer, Nada Miketić et Savka Adamović. « Artificial intelligence in printing ». Dans 11th International Symposium on Graphic Engineering and Design. University of Novi Sad, Faculty of technical sciences, Department of graphic engineering and design, 2022. http://dx.doi.org/10.24867/grid-2022-p49.
Texte intégralAbou-Zahra, Shadi, Judy Brewer et Michael Cooper. « Artificial Intelligence (AI) for Web Accessibility ». Dans W4A '18 : The Internet of Accessible Things. New York, NY, USA : ACM, 2018. http://dx.doi.org/10.1145/3192714.3192834.
Texte intégralFacchini, Sante Dino. « Decentralized Autonomous Organizations and Multi-agent Systems for Artificial Intelligence Applications and Data Analysis ». Dans 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.2022/828.
Texte intégralZhang, Chao. « Intelligent Internet of things service based on artificial intelligence technology ». Dans 2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE). IEEE, 2021. http://dx.doi.org/10.1109/icbaie52039.2021.9390061.
Texte intégralMorel, Philip. « Towards an Artificial Architecture : About Superintelligent Space ». Dans International Conference on the 4th Game Set and Match (GSM4Q-2019). Qatar University Press, 2019. http://dx.doi.org/10.29117/gsm4q.2019.0026.
Texte intégralRapports d'organisations sur le sujet "Artificial Intelligence of Thing"
Cathles, Alison, Claudia Suaznabar et Fernando Vargas. The 360 on Digital Transformation in Firms in Latin America and the Caribbean. Inter-American Development Bank, décembre 2022. http://dx.doi.org/10.18235/0004635.
Texte intégralAcharya, Ashwin, Max Langenkamp et James Dunham. Trends in AI Research for the Visual Surveillance of Populations. Center for Security and Emerging Technology, janvier 2022. http://dx.doi.org/10.51593/20200097.
Texte intégralSolovyanenko, Nina I. ЮРИДИЧЕСКИЕ СТРАТЕГИИ ЦИФРОВОЙ ТРАНСФОРМАЦИИ АГРАРНОГО БИЗНЕСА. DOI CODE, 2021. http://dx.doi.org/10.18411/0131-5226-2021-70004.
Texte intégralNovak, Jr, Simmons Gordon S., Porter Robert F., Kumar Bruce W., Causey Vipin et Robert L. Artificial Intelligence Project. Fort Belvoir, VA : Defense Technical Information Center, janvier 1990. http://dx.doi.org/10.21236/ada230793.
Texte intégralCwik, Cynthia, Paul Grimm, Maura Grossman et Toby Walsh. Artificial Intelligence and the Courts : Artificial Intelligence Trustworthiness, and Litigation. American Association for the Advancement of Science, septembre 2022. http://dx.doi.org/10.1126/aaas.adf0786.
Texte intégralKaranicolas, Michael, et Mallory Knodel. Artificial Intelligence and the Courts : Artificial Intelligence and Bias - An Evaluation. American Association for the Advancement of Science, septembre 2022. http://dx.doi.org/10.1126/aaas.adf0788.
Texte intégralFirth-Butterfield, Kay, et Karen Silverman. Artificial Intelligence and the Courts : Artificial Intelligence - Foundational Issues and Glossary. American Association for the Advancement of Science, septembre 2022. http://dx.doi.org/10.1126/aaas.adf0782.
Texte intégralLesser, Victor R., Paul Cohen et Wendy Lehnert. Center for Artificial Intelligence. Fort Belvoir, VA : Defense Technical Information Center, mars 1992. http://dx.doi.org/10.21236/ada282272.
Texte intégralBoros, E., P. L. Hammer et F. S. Roberts. Optimization and Artificial Intelligence. Fort Belvoir, VA : Defense Technical Information Center, juillet 1996. http://dx.doi.org/10.21236/ada311365.
Texte intégralGowens, J. W. Applied Artificial Intelligence Seminar. Fort Belvoir, VA : Defense Technical Information Center, juillet 1989. http://dx.doi.org/10.21236/ada268571.
Texte intégral