Integrated Systems: Ai-Augmented Engineering. Questo articolo non è disponibile.
Lingua: inglese
Editore: Springer Nature Switzerland Ag, 2026
- Rilegato
- Nuovo
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Venditore AbeBooks dal 6 gennaio 2003
Condizione: Nuovo
EUR 349,01
Descrizione dell’articolo da parte del venditore
287 pages. 6.30x0.87x9.49 inches. In Stock.
Codice articolo x-3032219809
- Titolo
- Integrated Systems: Ai-Augmented Engineering
- Autore
- Pulatov, Alim (Editor)/ Fathi, Madjid (Editor)/ Alam, Mohammad-Reza (Editor)
- Editore
- Springer Nature Switzerland Ag
- Anno di pubblicazione
- 2026
- Condizione
- Brand New
- Rilegatura
- Hardcover
- Lingua
- inglese
- ISBN 10
- 3032219809
- ISBN 13
- 9783032219800
- Peso dell'articolo
- 0,56 chilogrammi
The Future of Engineering is Augmented.
The leap from data-driven design to AI-Augmented Engineering is no longer a distant vision, it is the defining industrial shift of the decade. This collection, born from the 2025 Integrated Systems Design and Technology (ISDT) conference, offers an authoritative roadmap for navigating this new era. By bridging the critical gaps in system integration and dismantling traditional academic silos, these articles explore how the fusion of expert knowledge, causal reasoning, and autonomous decision-making can solve the multi-billion dollar challenges of modern complexity. Whether you are managing 100 million lines of code in a cyber-physical system or seeking to harmonize interdisciplinary teams, this book provides the robust frameworks and collaborative mindset essential for building the intelligent, resilient systems of tomorrow.
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Dalla quarta di copertina
The Future of Engineering is Augmented.
The leap from data-driven design to AI-Augmented Engineering is no longer a distant vision, it is the defining industrial shift of the decade. This collection, born from the 2025 Integrated Systems Design and Technology (ISDT) conference, offers an authoritative roadmap for navigating this new era. By bridging the critical gaps in system integration and dismantling traditional academic silos, these articles explore how the fusion of expert knowledge, causal reasoning, and autonomous decision-making can solve the multi-billion dollar challenges of modern complexity. Whether you are managing 100 million lines of code in a cyber-physical system or seeking to harmonize interdisciplinary teams, this book provides the robust frameworks and collaborative mindset essential for building the intelligent, resilient systems of tomorrow.
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