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| Link zu diesem Datensatz | https://d-nb.info/1346428107 |
| Art des Inhalts | Konferenzschrift |
| Titel | World Conference of AI-Powered Innovation and Inventive Design : 24th IFIP WG 5.4 International TRIZ Future Conference, TFC 2024, Cluj-Napoca, Romania, November 6–8, 2024, Proceedings, Part I / edited by Denis Cavallucci, Stelian Brad, Pavel Livotov |
| Person(en) |
Cavallucci, Denis (Herausgeber) Brad, Stelian (Herausgeber) Livotov, Pavel (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, XIII, 248 p. 73 illus., 49 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-75918-5 Printed edition:: ISBN: 978-3-031-75920-8 Printed edition:: ISBN: 978-3-031-75921-5 |
| Inhalt | -- AI-Driven TRIZ and Innovation. -- LLM-based Extraction of Contradictions from Patents. -- AI based search engine to deploy a TRIZ pointer to chemical effects. -- Integrating Generative AI with TRIZ for Evolutionary Product Design. . Harnessing Generative AI for Sustainable Innovation: A Comparative Study of Prompting Techniques and Integration with Nature-Inspired Principles. -- Neuro-Symbolic AI-Driven Inventive Design of a Benzoic Acid Extraction Installation from Styrax Resin. -- Enhancing TRIZ Contradiction Resolution with AI-driven Contradiction Navigator (AICON). -- Research on disruptive technology prediction methods based on BERT model and graph theory analysis. -- Exploring Cross-Domain Technological Opportunities through Customized Training of the Bert Model. -- Resource Mining Method of Idealization Driven Product Innovation Process of AI-Aided. -- Use of AI in the TRIZ innovation process: a TESE-based forecast. -- Evaluating the effectiveness of generative AI in TRIZ: A comparative case study. -- On opportunities and challenges of large language models and GPT for problem solving and TRIZ education. -- Challenges in Inventive Design Problem Solving with Generative AI: Interactive Problem Definition, Multi-Directional Prompting, and Concept Development. -- The Evolving Landscape of TRIZ: A Generative AI-Powered Perspective |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2410290400037.412647974965 DOI: 10.1007/978-3-031-75919-2 |
| URL | https://doi.org/10.1007/978-3-031-75919-2 |
| ISBN/Einband/Preis | 978-3-031-75919-2 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | IFIP Advances in Information and Communication Technology ; 735 |
| DDC-Notation | 601 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 600 Technik |
| Online-Zugriff | Archivobjekt öffnen |
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