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Titlebook: World Conference of AI-Powered Innovation and Inventive Design; 24th IFIP WG 5.4 Int Denis Cavallucci,Stelian Brad,Pavel Livotov Conference

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发表于 2025-3-21 18:08:29 | 显示全部楼层 |阅读模式
书目名称World Conference of AI-Powered Innovation and Inventive Design
副标题24th IFIP WG 5.4 Int
编辑Denis Cavallucci,Stelian Brad,Pavel Livotov
视频video
丛书名称IFIP Advances in Information and Communication Technology
图书封面Titlebook: World Conference of AI-Powered Innovation and Inventive Design; 24th IFIP WG 5.4 Int Denis Cavallucci,Stelian Brad,Pavel Livotov Conference
描述.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..
出版日期Conference proceedings 2025
关键词TRIZ; Invention; Innovation; Creativity; Inventive Design; Innovative Design; Artificial Intelligence; Mach
版次1
doihttps://doi.org/10.1007/978-3-031-75919-2
isbn_softcover978-3-031-75921-5
isbn_ebook978-3-031-75919-2Series ISSN 1868-4238 Series E-ISSN 1868-422X
issn_series 1868-4238
copyrightIFIP International Federation for Information Processing 2025
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LLM-Based Extraction of Contradictions from Patents of innovative products. However, TRIZ is a heuristic based on a historic patent analysis and does not make use of the ever-increasing number of latest technological solutions in current patents. Because of the huge number of patents, their length, and, last but not least, their complexity there is
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Integrating Generative AI with TRIZ for Evolutionary Product Designduct creation. This capability will be a key differentiator for organizations seeking a competitive edge and a catalyst for ensuring a better future for humanity. We demonstrate how the TRIZ methodology and Generative AI provide a solid foundation for solving product design challenges. We show how t
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Enhancing TRIZ Contradiction Resolution with AI-Driven Contradiction Navigator (AICON)adiction Matrix. By integrating advanced AI technologies, AICON enhances the identification, mapping, and resolution of contradictions with advanced precision and context sensitivity. Central to its architecture is the incorporation of Retrieval-Augmented Generation (RAG) AI, enabling the system to
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