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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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發(fā)表于 2025-3-21 18:08:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱World Conference of AI-Powered Innovation and Inventive Design
副標(biāo)題24th IFIP WG 5.4 Int
編輯Denis Cavallucci,Stelian Brad,Pavel Livotov
視頻videohttp://file.papertrans.cn/1032/1031102/1031102.mp4
叢書名稱IFIP Advances in Information and Communication Technology
圖書封面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
關(guān)鍵詞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
The information of publication is updating

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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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