Vai al contenuto principale della pagina

AI knowledge transfer from the university to society : applications in high-impact sectors / / edited by Jose Guadix Martin, Milica Lilic, Marina Rosales Martinez



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Titolo: AI knowledge transfer from the university to society : applications in high-impact sectors / / edited by Jose Guadix Martin, Milica Lilic, Marina Rosales Martinez Visualizza cluster
Pubblicazione: Boca Raton, FL : , : CRC Press, , 2022
©2022
Edizione: First edition.
Descrizione fisica: 1 online resource (xxvi, 122 pages) : illustrations
Disciplina: 016.403
006.3
Soggetto topico: Artificial intelligence
Persona (resp. second.): MartinJose Guadix
LilicMilica
MartinezMarina Rosales
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Health and Social Welfare -- Energy Efficiency and Sustainable Construction -- Digital Economy -- Mobility Logistics and Advanced Industry Linked to Transportation -- Endogenous Land-Based Resources, Agroindustry, and Tourism -- Conclusion.
Sommario/riassunto: "AI Knowledge Transfer from the University to Society: Applications in High-Impact Sectors brings together examples from the "Innovative Ecosystem with Artificial Intelligence for Andalusia 2025" project at the University of Seville, a series of sub-projects composed of research groups and different institutions or companies that explore the use of Artificial Intelligence in a variety of high-impact sectors to lead innovation and assist in decision-making. Key Features: Includes chapters on health and social welfare, transportation, digital economy, energy and sustainability, agro-industry, and tourism. Great diversity of authors, expert in varied sectors, belonging to powerful research groups from the University of Seville with proven experience in the transfer of knowledge to the productive sector and agents attached to the Andalucía TECH Campus."--Provided by publisher.
Titolo autorizzato: AI knowledge transfer from the university to society  Visualizza cluster
ISBN: 1-00-327660-1
1-003-27660-1
1-000-56813-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910520306503321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui