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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Research on Disruptive Technology Prediction Methods Based on BERT Model and Graph Theory Analysisn technology integration and can more accurately predict disruptive technologies. The research results show that the patent technologies selected after being fused perform excellently in terms of performance and advantages, verifying the scientificity and effectiveness of our research framework. Thi

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Use of AI in the TRIZ Innovation Process: A TESE-Based Forecast most likely sequence of future AI implementation in different parts of the TRIZ innovation process, and (3) to identify related challenges. The objectives are achieved by analyzing the composition and timing of various activities in a typical TRIZ project and applying the Trend of Decreasing Human

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Evaluating the Effectiveness of Generative AI in TRIZ: A Comparative Case Studyges, disadvantages, and feasibility of using generative AI in problem-solving and innovation projects. Our findings indicate that combining generative AI and TRIZ produces feasible, cross-domain preliminary conceptual directions with satisfactory scientific substantiation. Lastly, we recommend suita

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On Opportunities and Challenges of Large Language Models and GPT for Problem Solving and TRIZ Educat between different application contexts..This article proposes a critical analysis of the real effectiveness of these prompts according to the different needs of users..The analysis was carried out using a software application that was developed in-house and for which a testing phase was conducted o

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World Conference of AI-Powered Innovation and Inventive Design24th IFIP WG 5.4 Int

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