A Hands-on Approach to Scientific Artificial Intelligence Programming (Textos Docentes)

Alfaro, Iciar; Bermejo, Carlos; Cueto, Elías; González, David; Iparraguirre, Mikel M.; Tesán, Lucas; Tierz, Alicia; Urdeitx, Pau

ISBN 13: 9791370141585

Casa editrice: Prensas de la Universidad de Zaragoza, 2026

Riassunto

The field of scientific artificial intelligence is fascinating. The possibility that artificial intelligence can make predictions―whether using experimental or synthetic data, or relying solely on the differential equations that govern the phe-nomena under study―is, quite simply, fascinating. The challenge is for this artificial intelligence to be truly predictive in an engineering sense: that the pre-dictions it makes can be verified and validated, so that industry can ultimately place its trust in the benefits this new discipline can bring. It is the task of engineers, physicists, and mathematicians to turn this family of techniques into the tool that industry needs right now. The responsibility lies with us, and it begins with training a new generation of researchers in the field who will, no doubt, bring this to a successful conclusion.

Dettagli dell'edizione

• Editore: Prensas de la Universidad de Zaragoza
• Data di pubblicazione: 2026
• Lingua: Inglese
• ISBN 13: 9791370141585
• Rilegatura: Libro
• Numero edizione: 1
• Numero di pagine: 312
• Contatto del produttore: PRENSAS DE LA UNIVERSIDAD DE ZARAGOZA; puz@unizar.es; ; CALLE PEDRO CERBUNA, 12; ZARAGOZA; 50009; Spagna