Katalog der Deutschen Nationalbibliothek
Ergebnis der Suche nach: "Machine Learning"
|
|
|
| Link zu diesem Datensatz | https://d-nb.info/1386642053 |
| Titel | Artificial Intelligence and Intelligent Matter : Nanoscience, Soft Matter, Philosophy / edited by Michael te Vrugt |
| Person(en) | Vrugt, Michael te (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2026 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2026 |
| Umfang/Format | Online-Ressource, X, 509 p. 118 illus., 97 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-032-04128-9 Printed edition:: ISBN: 978-3-032-04130-2 Printed edition:: ISBN: 978-3-032-04131-9 |
| Inhalt | Preface -- 1. Introduction: Artificial Intelligence and Intelligent Matter -- Part I: Introduction to Artificial Intelligence -- 2. Introduction to Artificial Intelligence -- 3. An Introduction to Reinforcement Learning – In Artificial and Biological Control Systems -- 4. An Introduction to Reservoir Computing -- Part II: Applications of Artificial Intelligence to Nanosystems. 5. Learning Dynamical Systems from Data -- 6. Machine Learning Approaches to Classical Density Functional Theory -- 7. Machine Learning in Quantum Density Functional Theory -- 8. Generative Deep learning for the Inverse Design of Materials -- 9. Machine Learning for Identifying Dynamical Phases Intopologicallasers -- 10. Artificial Intelligence Reshaping the Semiconductor Metrology -- 11. Machine Learning for Active Matter -- Part III: Implementations of Artificial Intelligence in Nanosystems -- 12. A Primer on Neuromorphic Hardware: Underlying Principles and Approaches – From Sensors to Processors -- 13. Towards Intelligent Active Particles -- 14. Intelligent Matter Consisting of Active Particles -- 15. Neural Networks Consisting of DNA -- 16. Intelligence Without a Brain – Perspectives from the Aneural Slime Mold as a Computing Model for Artificial Intelligence -- 17. Integrated Photonics for Neuromorphic Computing -- 18. Time-multiplexed Reservoir Computing with Semiconductor Laser Systems -- 19. Neuromorphic Spintronics -- 20. Machine Learning with Quantum Computers -- Part IV: Philosophical Aspects -- 21. Normativity and the Intelligent Matter Framework -- 22. What Is It Like To Be a Nail? – The Intentions of Matter -- 23. Rethinking Computational Implementation Through Symphoria -- 24. Ethical Aspects of Artificial Intelligence in Nanoscience |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2601140347582.837046380338 DOI: 10.1007/978-3-032-04129-6 |
| URL | https://doi.org/10.1007/978-3-032-04129-6 |
| ISBN/Einband/Preis | 978-3-032-04129-6 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Machine Intelligence for Materials Science |
| DDC-Notation | 006.3 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |

