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Artigos de revistas sobre o assunto "Intelligence augmentée"
Morillon, Laurent, e Arlette Bouzon. "Entre intelligence collective et porosité augmentée, étude d’un médiateur entre chercheurs et praticiens". Communication et organisation, n.º 47 (1 de junho de 2015): 75–84. http://dx.doi.org/10.4000/communicationorganisation.4902.
Texto completo da fonteAhmad, Zubair. "Artificial Intelligence or Augmented Intelligence?" International Journal of Science and Research (IJSR) 12, n.º 12 (5 de dezembro de 2023): 1782–88. http://dx.doi.org/10.21275/sr231212220052.
Texto completo da fonteKhaddad, A., A. Bartoli, K. Chandelon, G. Margue, N. Bourdel e J. Bernhard. "Reconnaissance automatisée de la surface rénale par intelligence artificielle au cours de néphrectomies partielles robot-assistées (NPRA) : un pas vers la réalité augmentée". Progrès en Urologie - FMC 33, n.º 3 (novembro de 2023): S46—S47. http://dx.doi.org/10.1016/j.fpurol.2023.07.069.
Texto completo da fonteBonnaure, Pierre. "MALLARD Stéphane / ALEXANDRE Laurent (préf.), Disruption, Intelligence artificielle, fin du salariat, humanité augmentée. Préparez-vous à changer de monde, Paris : Dunod, mai 2018, 256 p." Futuribles N° 428, n.º 1 (2 de janeiro de 2019): IX. http://dx.doi.org/10.3917/futur.428.0131i.
Texto completo da fonteJarrahi, Mohammad Hossein, Christoph Lutz e Gemma Newlands. "Artificial intelligence, human intelligence and hybrid intelligence based on mutual augmentation". Big Data & Society 9, n.º 2 (julho de 2022): 205395172211428. http://dx.doi.org/10.1177/20539517221142824.
Texto completo da fonteCerf, Vinton G. "Augmented Intelligence". IEEE Internet Computing 17, n.º 5 (setembro de 2013): 96. http://dx.doi.org/10.1109/mic.2013.90.
Texto completo da fonteSuman, Sristi. "Augmented Intelligence for National Security and Development". Unity Journal 3, n.º 01 (6 de março de 2022): 245–52. http://dx.doi.org/10.3126/unityj.v3i01.43329.
Texto completo da fonteRui, Yong. "From Artificial Intelligence to Augmented Intelligence". IEEE MultiMedia 24, n.º 1 (janeiro de 2017): 4–5. http://dx.doi.org/10.1109/mmul.2017.8.
Texto completo da fonteLee, JoongHak, Jinwoo Jung e Taekyung Song. "Research on Personnel Selection in the Age of Artificial General Intelligence Focusing on Augmented Intelligence". Korean Academy of Organization and Management 47, n.º 2 (31 de maio de 2023): 113–37. http://dx.doi.org/10.36459/jom.2023.47.2.113.
Texto completo da fontevon Ahn, Luis. "Augmented intelligence: the Web and human intelligence". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 371, n.º 1987 (28 de março de 2013): 20120383. http://dx.doi.org/10.1098/rsta.2012.0383.
Texto completo da fonteTeses / dissertações sobre o assunto "Intelligence augmentée"
Weber, Michael. "Development of a method for practical testing of camera-based advanced driver assistance systems in automotive vehicles using augmented reality". Electronic Thesis or Diss., Bourgogne Franche-Comté, 2023. http://www.theses.fr/2023UBFCA027.
Texto completo da fonteAdvanced Driver Assistance Systems (ADAS) support the driver, offer comfort, and take responsibility for increasing road safety. These complex systems endure an extensive testing phase resulting in optimization potential regarding quality, reproducibility, and costs. ADAS of the future will support ever-larger proportions of driving situations in increasingly complex scenarios and represent a key factor for Autonomous Driving (AD). Current testing methods for ADAS can be divided into simulation and reality. The core concept behind the simulation is to benefit from reproducibility, flexibility, and cost reduction. However, simulation cannot yet completely replace real-world tests. Physical conditions, such as weather, road surface, and other variables, play a crucial role in evaluating ADAS road tests and cannot be fully replicated in a virtual environment. These test methods rely on real driving tests on special test sites as well as in real road traffic and are very time-consuming and costly. Therefore, new and efficient test methods are required to pave the way for future ADAS. A new approach Vehicle in the Loop (VIL), which is already being used in the industry today, combines the advantages of simulation and reality. The approach in this project is a new method besides existing VIL solutions. Taking advantage of testing ADAS in simulation and reality, this project presents a new approach to using Augmented Reality (AR) to test camera-based ADAS in a reproducible, cost- and time-efficient way. High computer power is needed for complex automotive environmental conditions, such as high vehicle speed and fewer orientation points on a test track compared to AR applications inside a building. A three-dimensional model with accurate information about the test site is generated based on the combination of visual Simultaneous Localization and Mapping (vSLAM) and Semantic Segmentation. The use of a special augmentation process allows us to enrich reality with virtual road users to present a proof of concept for future test procedures
Risser-Maroix, Olivier. "Similarité visuelle et apprentissage de représentations". Electronic Thesis or Diss., Université Paris Cité, 2022. http://www.theses.fr/2022UNIP7327.
Texto completo da fonteThe objective of this CIFRE thesis is to develop an image search engine, based on computer vision, to assist customs officers. Indeed, we observe, paradoxically, an increase in security threats (terrorism, trafficking, etc.) coupled with a decrease in the number of customs officers. The images of cargoes acquired by X-ray scanners already allow the inspection of a load without requiring the opening and complete search of a controlled load. By automatically proposing similar images, such a search engine would help the customs officer in his decision making when faced with infrequent or suspicious visual signatures of products. Thanks to the development of modern artificial intelligence (AI) techniques, our era is undergoing great changes: AI is transforming all sectors of the economy. Some see this advent of "robotization" as the dehumanization of the workforce, or even its replacement. However, reducing the use of AI to the simple search for productivity gains would be reductive. In reality, AI could allow to increase the work capacity of humans and not to compete with them in order to replace them. It is in this context, the birth of Augmented Intelligence, that this thesis takes place. This manuscript devoted to the question of visual similarity is divided into two parts. Two practical cases where the collaboration between Man and AI is beneficial are proposed. In the first part, the problem of learning representations for the retrieval of similar images is still under investigation. After implementing a first system similar to those proposed by the state of the art, one of the main limitations is pointed out: the semantic bias. Indeed, the main contemporary methods use image datasets coupled with semantic labels only. The literature considers that two images are similar if they share the same label. This vision of the notion of similarity, however fundamental in AI, is reductive. It will therefore be questioned in the light of work in cognitive psychology in order to propose an improvement: the taking into account of visual similarity. This new definition allows a better synergy between the customs officer and the machine. This work is the subject of scientific publications and a patent. In the second part, after having identified the key components allowing to improve the performances of thepreviously proposed system, an approach mixing empirical and theoretical research is proposed. This secondcase, augmented intelligence, is inspired by recent developments in mathematics and physics. First applied tothe understanding of an important hyperparameter (temperature), then to a larger task (classification), theproposed method provides an intuition on the importance and role of factors correlated to the studied variable(e.g. hyperparameter, score, etc.). The processing chain thus set up has demonstrated its efficiency byproviding a highly explainable solution in line with decades of research in machine learning. These findings willallow the improvement of previously developed solutions
Gharbi, Safa. "La réalité augmentée au service de l'optimisation des opérations de picking et putting dans les entrepôts". Thesis, Ecole centrale de Lille, 2015. http://www.theses.fr/2015ECLI0028/document.
Texto completo da fonteThe research presented in this thesis belongs to a partnership between Generix Group, collaborative software vendor for Retail ecosystem, and the Ecole Centrale of Lille which aims to implement a Support System for Travel (SST) distance of pickers integrating Augmented Reality (AR) in the area of the supply chain. In warehouse management, order picking is an important process. Having an optimized warehouse management by helping order pickers to work in better conditions is a major issues. The aim of this thesis is to propose a Decision Support System (DSS) in warehouses to optimize picking and putting processes. The dynamic and open aspect of the problem has led us to adopt a multi-agent modelling approach. The proposed multi-agent system is based on metaheuristics to manage the optimized paths allocation to order pickers. The Alliance between the Optimization and Multi-Agent System (AOMAS) proposed is based on a modeling approach, optimization and agent-oriented simulation integrating Augmented Reality (AR) Smart Glasses. Indeed, the connected glasses can display in the operator's field of vision the necessary information to improve efficiency and effectiveness and reduce errors in picking and putting. The experimental results presented in this thesis, justify the alliance between the multi-agent systems and optimization integrating the new AR technology to ensure the piloting of picking and putting path
Diallo, Belko Abdoul Aziz. "Aide à la prise de décision en situation de mobilité : proposition d’une solution mobile d’intelligence d’affaire géospatiale (GeoBI) sémantiquement augmentée et sensible au contexte mobile du décideur". Doctoral thesis, Université Laval, 2015. http://hdl.handle.net/20.500.11794/25717.
Texto completo da fonteThe rapid development of mobile computing has enabled the emergence and popularization of mobile devices whose increasing number and computing capabilities position them as potential alternative platforms to desktop computers. This technological progress has contributed to the emergence of a new category of business actors having no permanent workplaces, spending very short time in their offices, working directly on the field in various locations (home, car, plane, with the client at the hotel at the supplier, etc.) by using mobile and nomadic devices, and moving to places where business requires them: these are mobile workers including a large number of decision makers. Given this increasingly competitive business world where decision makers are increasingly mobile and are facing the need to take faster and suitable decisions based on relevant analysis, these mobile business people deserve to be supported with appropriate mobile decision support systems (DSS). To give an improved support to these mobile business professionals, this PhD thesis proposes to go further than just allowing a simple remote access to a Geospatial or non-geospatial Business Intelligence (GeoBI/BI) platform as do current solutions. It also proposes to take into account the location and the context of mobile professionals, and to enrich semantically BI data. To propose such a semantically augmented and context-based mobile GeoBI solution, the present thesis has endeavored on the one hand, to identify, model and enrich contextual information that is relevant to support GeoBI context-based reasoning. On the other hand, it has strived to provide a solution that semantically enriches business data in order to help decision makers discover semantic [cor]relations which might exist between the data. A prototype implementing a context-aware mobile application and a services-oriented architecture has been developed and tested as a proof of concept. These tests has shown among other things, that the prototype was able to answer and visualize the result of contextual queries such as: “Within 5 km around my current position, what are partnering companies that are competing with our owners; with the possibility of partnership/ownership relationships to be transitive, symmetric, or have the same semantics?”
Bauer, Armelle. "Modélisation anatomique utilisateur-spécifique et animation temps-réel : Application à l'apprentissage de l'anatomie". Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAM071/document.
Texto completo da fonteTo ease the complex task of anatomy learning, there exist many ways to represent and structure anatomy : illustrations, books, cadaver dissections and 3d models. However, it is difficult to understand and analyse anatomy motion, which is essential for medicine students. We present the "Living Book of Anatomy" (LBA), an original and innovative tool to learn anatomy. For a specific user, we superimpose a 3d anatomical model (skin, skeleton, muscles and visceras) onto the user’s color map and we animate it following the user’s movements. We present a real-time mirror-like augmented reality (AR) system. A Kinect is used to capturebody motions.The first innovation of our work is the identification of the user’s body measurements to register our 3d anatomical model. We propose two different methods to register anatomy.The first one is real-time and use affine transformations attached to rigid positioned on each joint given by the Kinect body tracking skeleton in order to deform the 3d anatomical model using skinning to fit the user’s measurements.The second method needs a few minutes to register the anatomy and is divided in 3 parts : skin deformation (using Kinect body tracking skeleton and the Kinect partial point cloud), with it and strict anatomical rules we register the skeleton. Lastly we deformm the soft tissues to completly fill the space inbetween the registered skeleton and skin.Secondly, we want to capture realistically and in real-time the user’s motion. To do that we need to reproduce anatomical structure motion but it is a complex task due to the noisy and often partial Kinect data. We propose here the use of anatomical rules concerning body articulations (angular limits and degrees of freedom) to constraint Kinect captured motion in order to obtain/gain plausible motions. a kalman filter is used to smooth the obtaiined motion capture.Lastly, to embed visual style and interaction, we use a full body reproduction to show general knowledge on human anatomy and its differents joints. We also use a lower-limb as structure of interest to higlight specific anatomical phenomenon, as muscular activity.All these tools have been integrated in a working system detailed in this thesis.We validated our tool/system by presenting it as a live demo during different conferences and through user studies done with students and professionnals from different backgrounds
Zhang, Yan S. M. Program in Media Arts and Sciences (Massachusetts Institute of Technology). "CityMatrix : an urban decision support system augmented by artificial intelligence". Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/114059.
Texto completo da fonteCataloged from PDF version of thesis.
Includes bibliographical references (pages 75-77).
Cities are our future. Ninety percent of the world's population growth is expected to take place in cities. Not only are cities becoming bigger, they are also becoming more complex and changing even more rapidly. The decision-making process in urban design and urban planning is outdated. Currently, urban decision-making is mostly a top-down process, with community participation only in its late stages. Furthermore, many design decisions are subjective, rather than based on quantifiable performance and data. Urban simulation and artificial intelligence techniques have become more mature and accessible. However, until now these techniques have not been integrated into the urban decision-making process. Current tools for urban planning do not allow both expert and non-expert stakeholders to explore a range of complex scenarios rapidly with real-time feedback. To address these challenges, a dynamic, evidence-based decision support system called CityMatrix was prototyped. The goals of CityMatrix were 1) Designing an intuitive Tangible User Interface (TUI) to improve the accessibility of the decision-making process for non-experts. 2) Creating real-time feedback of multi-objective urban performances to help users evaluate their decisions, thus to enable rapid, collaborative decision-making. 3) Constructing a suggestion-making system that frees stakeholders from excessive, quantitative considerations and allows them to focus on the qualitative aspects of the city, thus helping them define and achieve their goals more efficiently. CityMatrix was augmented by Artificial Intelligence (AI) techniques including Machine Learning simulation predictions and optimization search algorithms. The hypothesis explored in this work was that the decision quality could be improved by the organic combination of both strength of human intelligence and machine intelligence. The system was pilot-tested and evaluated by comparing the problem-solving results of volunteers, with or without Al suggestions. Both quantitative and qualitative analytic results showed that CityMatrix is a promising tool that helps both professional and nonprofessional users understand the city better to make more collaborative and better-informed decisions. CityMatrix was an effort towards evidence-based, democratic decisionmaking. Its contributions lie in the application of Machine Learning as a versatile, quick, accurate, and low-cost approach to enable real-time feedback of complex urban simulations and the implementation of the optimization searching algorithms to provide open-ended decision-making suggestions.
by Yan Zhang.
S.M.
Westerfield, Giles. "Intelligent Augmented Reality Training for Assembly and Maintenance". Thesis, University of Canterbury. Computer Science and Software Engineering, 2012. http://hdl.handle.net/10092/6735.
Texto completo da fonteThomas, Vincent. "Modélisation 3D pour la réalité augmentée : une première expérimentation avec un téléphone intelligent". Thesis, Université Laval, 2011. http://www.theses.ulaval.ca/2011/27904/27904.pdf.
Texto completo da fonteRecently, a new genre of software applications has emerged allowing the general public to browse their immediate environment using their smartphone: Mobile Augmented Reality (MAR) applications. The growing popularity of this type of application is triggered by the fast evolution of smartphones. These ergonomic mobile platforms embed several pieces of equipment useful to deploy MAR (i.e. digital camera, GPS receiver, accelerometers, digital compass and now gyroscope). In order to achieve a strong augmentation of the reality in terms of user’s immersion and interactions, a 3D model of the real environment is generally required. The 3D model can be used for three different purposes in these MAR applications: 1) to manage the occlusions between real and virtual objects; 2) to provide accurate camera pose (position/orientation) calculation; 3) to support the augmentation and interactions. However, the availability of such 3D models is limited and therefore preventing MAR application to be used anywhere at anytime. In order to overcome such constraints, this proposed research thesis is aimed at devising a new approach adapted to the specific context of MAR applications and dedicated to the simple and fast production of 3D models. This approach was implemented on the iPhone 3G platform and evaluated according to precision, rapidity, simplicity and efficiency criteria. Results of the evaluation underlined the capacity of the proposed approach to provide, in about 3 minutes, a simple 3D model of a building using smartphone while achieving accuracy of 5 meters and higher.
Mohapatra, Avantika. "Designing for AI : A collaborative framework to bridge the gap between designers and data scientists, and enabling designers to create human-centered AI products and services". Thesis, KTH, Integrerad produktutveckling, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-286016.
Texto completo da fonteFramsteg inom Artificiell Intelligens (AI) har redan haft enorma effekter på diverse ämnesområden med direkt eller indirekt påverkan på oss människor. I och med att teknologin som utnyttjar AI kommer att utvecklas, kommer även rollen för designers att förändras. AI innehar potentialen att bli nästa verktyg som kan brukas för att skapa människocentrerade produkter och tjänster. För att förstå och nyttja AI och dess förmåga är det kritiskt att avmystifiera termen och dess potential. Detta explorativa arbete syftar till att nysta upp kollaborativ intelligens samt att undersöka hur det kan användas av designers för att nyttja AIs fulla potential. Därtill utforskar arbetet hur AI och designprinciper kan integreras för att skapa AI-baserade produkter och tjänster. Utöver forskningen inom design och AI undersöks även fältens skärningspunkter. Följande arbete använder sig av Double Diamond designprocessen och dess principer: discover, define, develop, and deliver. Denna process kommer att användas för att konstruera ett ramverk som binder samman AI och designprinciper. Arbetet syftar till att utforska hur designers kan använda AI för att skapa nya produkter och tjänster. Resultatet är ett ramverk som kan vägleda designers att acklimatisera sig med AI och dess specifika principer för att kunna applicera AI i sitt arbete. Ramverket innefattar nödvändiga koncept för att förstå olika aspekter av AI och strävar efter att bygga ett gemensamt språk för alla utövare av AI. Ramverket ger dessutom riktlinjer för att strukturera workshops som förser alla möjliga AI användare med designmetoder för att skapa AI baserade lösningar.
Nygren, Amanda, e Tobias Wikström. "Den Nya Generationens Revisorer : En studie om automatiseringens påverkan på revisionsuppgifter samt revisorns yrkesroll". Thesis, Karlstads universitet, Handelshögskolan (from 2013), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-84785.
Texto completo da fonteI en värld som rör sig alltmer mot det digitala undersöks, i denna studie, hur revisionsprocessen påverkas av automatisering av revisionsuppgifter samt hur revisorers yrkesroll påverkas om revisionsuppgifter automatiseras. Tillämpningsområdet är framförallt på revisionsprocessen och revisionsuppgifter i helhet och inte på revisorns specifika arbetsuppgifter även om flertalet arbetsuppgifter nämns som exempel. Samt om den artificiella intelligensen eventuellt kan ta över revisorns roll i framtiden. I denna studie har två intervjuer genomförts i syfte att se hur programutvecklarna ser revisorns framtid ur ett mer tekniskt perspektiv och vad som är tekniskt möjligt att utveckla. Tre intervjuer hölls också med syftet att fånga de auktoriserade revisorernas perspektiv för att se om de redan börjat märka av förändring och hur stor förändring de kan förvänta sig inom den närmsta tiden. Syftet med uppsatsen är att undersöka hur revisionsprocessen påverkas av automatisering av revisionsuppgifter samt hur revisorers yrkesroll påverkas om revisionsuppgifter automatiseras. För att uppnå vårt syfte undersökte vi vilka delar av revisorns yrke som revisorer och programutvecklare tror eller vet kan automatiseras samt vilka konsekvenser som påverkar revisorn. Slutsatsen i vår studie skiljer sig aningens mot tidigare studier där de främst intervjuat revisorer, samt att de flesta kommer fram till att revisorns roll i det stora hela förblir relativt oförändrad. Vi kom fram till att revisorns yrkesroll kan komma att omformas med åren allt eftersom lagar och regler justeras, vilket kan vara en trögrörlig process men att det med sannolikhet kommer att ske. Vi ser även att IT-revisorer kommer bli mer efterfrågade allt eftersom programmen blir mer komplicerade samt att mer teknologisk kunskap krävs för att förstå hur dessa program och system fungerar
Livros sobre o assunto "Intelligence augmentée"
Sadin, Eric. L'humanité augmentée: L'administration numérique du monde. Montreuil: Éditions L'Échappée, 2013.
Encontre o texto completo da fonteFrasson, Claude, Phivos Mylonas e Christos Troussas, eds. Augmented Intelligence and Intelligent Tutoring Systems. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-32883-1.
Texto completo da fonteYadav, Praveenkumar. Google is Changing It’s Connected Augmented Intelligence for Future: Connected Augmented Intelligence for Future. New York, USA: StraitsResearch, 2021.
Encontre o texto completo da fonteGeroimenko, Vladimir, ed. Augmented Reality and Artificial Intelligence. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-27166-3.
Texto completo da fonteKumar Singh, Koushlendra, Manish Kumar Bajpai e Akbar Sheikh Akbari, eds. Machine Vision and Augmented Intelligence. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0189-0.
Texto completo da fonteMusleh Al-Sartawi, Abdalmuttaleb M. A., Anas Ali Al-Qudah e Fadi Shihadeh, eds. Artificial Intelligence-Augmented Digital Twins. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-43490-7.
Texto completo da fonteSchmorrow, Dylan D., e Cali M. Fidopiastis, eds. Augmented Cognition: Intelligent Technologies. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91470-1.
Texto completo da fonteBajpai, Manish Kumar, Koushlendra Kumar Singh e George Giakos, eds. Machine Vision and Augmented Intelligence—Theory and Applications. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5078-9.
Texto completo da fontePapakostas, Christos, Christos Troussas e Cleo Sgouropoulou. Special Topics in Artificial Intelligence and Augmented Reality. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52005-1.
Texto completo da fonteMishra, Sushruta, Hrudaya Kumar Tripathy, Pradeep Mallick e Khaled Shaalan, eds. Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1076-0.
Texto completo da fonteCapítulos de livros sobre o assunto "Intelligence augmentée"
Sadiku, Matthew N. O., e Sarhan M. Musa. "Augmented Intelligence". In A Primer on Multiple Intelligences, 191–99. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77584-1_15.
Texto completo da fonteMiller, Eric, Robert Hanlon, Paul Lehrer, Kate Mitchell e Monte Hancock. "Intelligent Wellness". In Augmented Cognition, 232–49. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35017-7_16.
Texto completo da fonteKejriwal, Mayank. "Augmented Artificial Intelligence". In Artificial Intelligence for Industries of the Future, 75–100. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-19039-1_4.
Texto completo da fonteLampropoulos, Georgios. "Augmented Reality and Artificial Intelligence in Education: Toward Immersive Intelligent Tutoring Systems". In Augmented Reality and Artificial Intelligence, 137–46. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-27166-3_8.
Texto completo da fonteHaeusler, Matthias (Hank), e Nicole Gardner. "Data Augmented Design Intelligence". In Interdisciplinary Design Thinking in Architecture Education, 65–71. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003296355-14.
Texto completo da fonteChen, Jim X., e Harry Wechsler. "Human Computer Intelligent Interaction Using Augmented Cognition and Emotional Intelligence". In Virtual Reality, 205–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73335-5_23.
Texto completo da fonteKarim, Ridoan, e Sonali Vyas. "Artificial Intelligence and Augmented Reality". In Handbook on Augmenting Telehealth Services, 233–51. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003346289-14.
Texto completo da fonteVelankar, Makarand R., Parikshit N. Mahalle e Gitanjali R. Shinde. "Cognitive Computing and Augmented Intelligence". In Innovations in Sustainable Technologies and Computing, 13–23. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0452-1_2.
Texto completo da fonteSalleh, Muhammad Hisham, e Kamarulzaman Ab Aziz. "Artificial Intelligence Augmented Project Management". In Proceedings of the International Conference on Technology and Innovation Management (ICTIM 2022), 274–84. Dordrecht: Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-080-0_24.
Texto completo da fonteGrigsby, Scott S. "Artificial Intelligence for Advanced Human-Machine Symbiosis". In Augmented Cognition: Intelligent Technologies, 255–66. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91470-1_22.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Intelligence augmentée"
Akbari, Farid. "Intelligent Digital Twins and Augmented Reality in Inspection and Maintenance". In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207659-ms.
Texto completo da fonteGao, Hang, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Fuchun Sun e Changwen Zheng. "Bootstrapping Informative Graph Augmentation via A Meta Learning Approach". In 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.2022/416.
Texto completo da fonteLim, Joo-Hwee. "Augmented Visual Intelligence". In TENCON 2015 - 2015 IEEE Region 10 Conference. IEEE, 2015. http://dx.doi.org/10.1109/tencon.2015.7373017.
Texto completo da fonteJohns, Matthew B., Herman A. Mahmoud, David J. Walker, Nicholas D. F. Ross, Edward C. Keedwell e Dragan A. Savic. "Augmented evolutionary intelligence". In GECCO '19: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3321707.3321814.
Texto completo da fonteLisboa, Paulo J. G. "AI 2.0: Augmented Intelligence". In Conference on Data Science and Knowledge Engineering for Sensing Decision Support (FLINS 2018). WORLD SCIENTIFIC, 2018. http://dx.doi.org/10.1142/9789813273238_0003.
Texto completo da fontePratsri, Sajeewan, Prachyanun Nilsook e Panita Wannapiroon. "Augmented Intelligence Coaching System". In 2021 Research, Invention, and Innovation Congress: Innovation Electricals and Electronics (RI2C). IEEE, 2021. http://dx.doi.org/10.1109/ri2c51727.2021.9559817.
Texto completo da fonteSundstedt, Veronica, Veselka Boeva, Hans-Jürgen Zepernick, Prashant Goswami, Abbas Cheddad, Kurt Tutschku, Håkan Grahn et al. "HINTS: Human-Centered Intelligent Realities". In 35th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2023. Linköping University Electronic Press, 2023. http://dx.doi.org/10.3384/ecp199001.
Texto completo da fonteGarg, Sourav, Tobias Fischer e Michael Milford. "Where Is Your Place, Visual Place Recognition?" In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/603.
Texto completo da fonteFarooq, Ahmed, Roope Raisamo, Jani Lylykangas, Oleg Spakov e Veikko Surakka. "Comparing Electrostatic and Vibrotactile Feedback for In-Car Touchscreen Interaction using common User Interface Controls". In Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1002822.
Texto completo da fonteHebbar, Akshay. "Augmented intelligence: Enhancing human capabilities". In 2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN). IEEE, 2017. http://dx.doi.org/10.1109/icrcicn.2017.8234515.
Texto completo da fonteRelatórios de organizações sobre o assunto "Intelligence augmentée"
Perdigão, Rui A. P., e Julia Hall. Augmented Information Physical Systems Intelligence (AIPSI). Meteoceanics, abril de 2023. http://dx.doi.org/10.46337/230414.
Texto completo da fonteAudet, René, e Tom Lebrun. Livre blanc : L'intelligence artificielle et le monde du livre. Observatoire international sur les impacts sociétaux de l’intelligence artificielle et du numérique, setembro de 2020. http://dx.doi.org/10.61737/zhxd1856.
Texto completo da fonteOsadchyi, Viacheslav V., Hanna B. Varina, Kateryna P. Osadcha, Olha V. Kovalova, Valentyna V. Voloshyna, Oleksii V. Sysoiev e Mariya P. Shyshkina. The use of augmented reality technologies in the development of emotional intelligence of future specialists of socionomic professions under the conditions of adaptive learning. CEUR Workshop Proceedings, julho de 2020. http://dx.doi.org/10.31812/123456789/4633.
Texto completo da fonteNezhyva, Liudmyla L., Svitlana P. Palamar e Oksana S. Lytvyn. Perspectives on the use of augmented reality within the linguistic and literary field of primary education. [б. в.], novembro de 2020. http://dx.doi.org/10.31812/123456789/4415.
Texto completo da fonteTemple, Dorota S., Jason S. Polly, Meghan Hegarty-Craver, James I. Rineer, Daniel Lapidus, Kemen Austin, Katherine P. Woodward e Robert H. Beach III. The View From Above: Satellites Inform Decision-Making for Food Security. RTI Press, agosto de 2019. http://dx.doi.org/10.3768/rtipress.2019.rb.0021.1908.
Texto completo da fonteWarin, Thierry, Nathalie de Marcellis-Warin e Robert Normand. Mieux comprendre le niveau d’adoption Des cryptoactifs au Québec. CIRANO, novembro de 2022. http://dx.doi.org/10.54932/cswf3465.
Texto completo da fonteBorrett, Veronica, Melissa Hanham, Gunnar Jeremias, Jonathan Forman, James Revill, John Borrie, Crister Åstot et al. Science and Technology for WMD Compliance Monitoring and Investigations. The United Nations Institute for Disarmament Research, dezembro de 2020. http://dx.doi.org/10.37559/wmd/20/wmdce11.
Texto completo da fonteSemerikov, Serhiy, Viacheslav Osadchyi e Olena Kuzminska. Proceedings of the 1st Symposium on Advances in Educational Technology - Volume 2: AET. SciTePress, 2022. http://dx.doi.org/10.31812/123456789/7011.
Texto completo da fonteA Guidebook on Mapping Poverty through Data Integration and Artificial Intelligence. Asian Development Bank, maio de 2021. http://dx.doi.org/10.22617/spr210131-2.
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