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Artificial intelligence / Eneko Osaba (2021)  

Public Titre : Artificial intelligence : Latest advances, new paradigms and novel applications Type de document : Monographie Auteurs : Eneko Osaba, Auteur ; Esther Villar-Rodriguez, Auteur ; Jesus L. Lobo, Auteur ; et al., Auteur Editeur : London [UK] : IntechOpen Année de publication : 2021 Importance : 158 p. Format : 16 x 23 cm ISBN/ISSN/EAN : 978-1-83962-389-9 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle [Termes IGN] apprentissage profond [Termes IGN] exploration de données [Termes IGN] innovation [Termes IGN] modèle orienté agent [Termes IGN] organisme international [Termes IGN] reconnaissance de formes [Termes IGN] règlement [Termes IGN] réseau neuronal artificiel [Termes IGN] Spark [Termes IGN] système d'information Résumé : (éditeur) Artificial Intelligence (AI) is widely known as a knowledge field that aims to make computers, robots, or products that mimic the way humans think. In the current scientific community, AI is an intensively studied area composed of multiple branches. Historically, machine learning and optimization are two of the most studied fronts thanks to the development of novel and challenging research topics such as transfer optimization, swarm robotics, and drift detection and adaptation to evolving conditions in real-time. This book collects radically new theoretical insights, reporting recent developments and evincing innovative applications regarding AI methods in all fields of knowledge. It also presents works focused on new paradigms and novel branches of AI science. Note de contenu : 1- Introductory chapter: Artificial intelligence - Latest advances, new paradigms and novel applications 2- Big data framework using Spark architecture for dose optimization based on deep learning in medical imaging 3- Novelty detection methodology based on self-organizing maps for power quality monitoring 4- AI-powered workforce management and its future in India 5- Agent based load balancing in grid computing 6- A food recommender based on frequent sets of food mining using image recognition 7- The prospects for creating instruments for the coordination of activities of international organizations in the regulation of artificial intelligence 8- Artificial intelligence assisted innovation 9- Quest for I (intelligence) in AI (artificial intelligence): A non-elusive attempt Numéro de notice : 28633 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.87770 En ligne : https://doi.org/10.5772/intechopen.87770 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99636