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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On Opportunities and Challenges of Large Language Models and GPT for Problem Solving and TRIZ Educatoning the possible integrations with traditional paths and tools. Many problem-solving experts have for some time been proposing specific prompts based on the methodology’s tools such as functional analysis, reconstruction of cause-effect relationships, identification of Resources, 40 inventive prin

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The Evolving Landscape of TRIZ: A Generative AI-Powered Perspectivebreakthroughs within the TRIZ methodology. This paper unveils five groundbreaking Generative AI- integrated tools designed to enhance innovation and problem-solving across diverse domains..These tools collectively harness the power of Generative AI to revolutionize problem-solving and innovation acr

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Conference proceedings 2025 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 TR

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The Evolving Landscape of TRIZ: A Generative AI-Powered Perspectiveroblem-solving across diverse domains..These tools collectively harness the power of Generative AI to revolutionize problem-solving and innovation across various sectors, offering structured analysis, imaginative recombination, and cross-disciplinary insights.

OATH

Conference proceedings 2025. 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..

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1868-4238 gn with TRIZ; Digital Transformation, Industry 4.0, and Predictive Analytics; Interdisciplinary and Cognitive Approaches in TRIZ; Customer Experience and Service Innovation with TRIZ..978-3-031-75921-5978-3-031-75919-2Series ISSN 1868-4238 Series E-ISSN 1868-422X

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AI-Aided Resource Mining Method for Idealization-Driven Product Innovationsources using a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) comprehensive evaluation model that combines analytic hierarchy process with entropy weight method to select optimal available resources. Multi-criteria evaluation methods and AI technology are applied to resource mining and selection for product innovation.