Salucci Marco (26 results)

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: NEW.

Frontespizio: Prefazione di Marzio Vacatello. In-8° picc., pp. 95. Bross. lucida marrone ill. con dis. in bicromia di Frosini, tit. nero al piatto e al ds. Segno di consunzione al ds., sottolineature a matita alle prime pagg.

Brossura. Condition: new. Pistoia, 2026; br., pp. 208, cm 13x18,5. Di fronte ai progressi dell'intelligenza artificiale è urgente ripensare alle domande fondamentali: cosa significa pensare, comprendere ed essere intelligenti? I Large Language Models capaci di imitare il linguaggio umano, ci obbligano a ridefinire concetti come creatività, razionalità e perfino il rapporto mente-corpo. Come intuito da Galileo, la pratica delle macchine aiuta a riflettere sulla natura delle cose e dunque l'IA si configura come un'"epistemologia sperimentale". La storia dell'informatica dimostra che la filosofia ha sempre orientato la costruzione di macchine intelligenti; non è un caso che Turing pubblicasse le sue tesi fondative sulla rivista "Mind". Oggi la potenza di calcolo e la fluidità dei nuovi sistemi non sollevano soltanto questioni tecniche, ma rimandano anche ai limiti e alle possibilità della mente umana. Colmare la frattura tra scienza e cultura umanistica è essenziale per comprendere le implicazioni etiche e sociali in corso. I progettisti non possono eludere questioni filosofiche, ma gli utenti devono acquisire consapevolezza di come funziona l'IA: informazione e educazione sono preliminari alla regolamentazione. Libro.…

Condition: As New. Unread book in perfect condition.

Condition: Very Good. Good shape with typical wear. Has a remainder mark. hardcover Used - Very Good 2023.

Condition: New.

Hardback. Condition: New. Deep learning has started to be applied to solving many electromagnetic problems, including the development of fast modelling solvers, accurate imaging algorithms, efficient design tools for antennas, as well as tools for wireless links/channels characterization. The contents of this book represent pioneer applications of deep learning techniques to electromagnetic engineering, where physical principles described by the Maxwell's equations dominate. With the development of deep learning techniques, improvement in learning capacity and generalization ability may allow machines to "learn" from properly collected data and "master" the physical laws in certain controlled boundary conditions. In the long run, a hybridization of fundamental physical principles with knowledge from training data could unleash numerous possibilities in electromagnetic theory and engineering that used to be impossible due to the limit of data information and ability of computation. Electromagnetic applications of deep learning covered in the book include electromagnetic forward modeling, free-space inverse scattering, non-destructive testing and evaluation, subsurface imaging, biomedical imaging, direction of arrival estimation, remote sensing, digital satellite communications, imaging and gesture recognition, metamaterials and metasurfaces design, as well as microwave circuit modeling. Applications of Deep Learning in Electromagnetics contains valuable information for researchers looking for new tools to solve Maxwell's equations, students of electromagnetic theory, and researchers in the field of deep learning with an interest in novel applications.…

Condition: As New. Unread book in perfect condition.

copertina morbida. Condition: buone. Dust Jacket Condition: buone.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New. In English.

Hardback. Condition: New. Deep learning has started to be applied to solving many electromagnetic problems, including the development of fast modelling solvers, accurate imaging algorithms, efficient design tools for antennas, as well as tools for wireless links/channels characterization. The contents of this book represent pioneer applications of deep learning techniques to electromagnetic engineering, where physical principles described by the Maxwell's equations dominate. With the development of deep learning techniques, improvement in learning capacity and generalization ability may allow machines to "learn" from properly collected data and "master" the physical laws in certain controlled boundary conditions. In the long run, a hybridization of fundamental physical principles with knowledge from training data could unleash numerous possibilities in electromagnetic theory and engineering that used to be impossible due to the limit of data information and ability of computation. Electromagnetic applications of deep learning covered in the book include electromagnetic forward modeling, free-space inverse scattering, non-destructive testing and evaluation, subsurface imaging, biomedical imaging, direction of arrival estimation, remote sensing, digital satellite communications, imaging and gesture recognition, metamaterials and metasurfaces design, as well as microwave circuit modeling. Applications of Deep Learning in Electromagnetics contains valuable information for researchers looking for new tools to solve Maxwell's equations, students of electromagnetic theory, and researchers in the field of deep learning with an interest in novel applications.…

Hardcover. Condition: Brand New. 400 pages. 9.21x6.14x1.26 inches. In Stock.

Condition: New. KlappentextThis book discusses recent advances in the application of deep learning techniques to electromagnetic theory and engineering. The contents represent pioneer applications of deep learning techniques to electromagnetic engine.

Condition: New.

Condition: New.

Buch. Condition: Neu. Neuware - This book discusses recent advances in the application of deep learning techniques to electromagnetic theory and engineering. The contents represent pioneer applications of deep learning techniques to electromagnetic engineering, where physical principles described by the Maxwell's equations dominate.…

Pp., gebundene Ausgabe. Condition: Sehr gut. 221 S. : überw. Ill. ; 29 cm Schutzumschlag mit leichten Lagerspuren, sonst sehr gut erhalten. Sprache: Deutsch Gewicht in Gramm: 2500.

HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.