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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

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: IFIP Advances in Information and Communication Technology ; 735Publisher: Cham : Springer Nature Switzerland, 2025Publisher: Cham : Imprint: Springer, 2025Edition: 1st ed. 2025Description: 1 Online-Ressource(XIII, 248 p. 73 illus., 49 illus. in color.)ISBN:
  • 9783031759192
Subject(s): Additional physical formats: 9783031759185 | 9783031759208 | 9783031759215 | Erscheint auch als: 9783031759185 Druck-Ausgabe | Erscheint auch als: 9783031759208 Druck-Ausgabe | Erscheint auch als: 9783031759215 Druck-AusgabeDDC classification:
  • 006.3 23
DOI: DOI: 10.1007/978-3-031-75919-2Online resources: Summary: -- 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.Summary: This book constitutes the proceedings of the 24th IFIP WG 5.4 International TRIZ Future Conference on AI-Powered Innovation and Inventive Design, TFC 2024, held in Cluj-Napoca, Romania, during November 6–8, 2024. The 42 full papers presented were carefully reviewed and selected from 72 submissions. They were organized in the following topical sections: Part I - AI-Driven TRIZ and Innovation Part II - Sustainable and Industrial Design with TRIZ; Digital Transformation, Industry 4.0, and Predictive Analytics; Interdisciplinary and Cognitive Approaches in TRIZ; Customer Experience and Service Innovation with TRIZ.PPN: PPN: 1907595252Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS
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