E-Book, Englisch, Band 735, 248 Seiten, eBook
Reihe: IFIP Advances in Information and Communication Technology
Cavallucci / Brad / Livotov World Conference of AI-Powered Innovation and Inventive Design
Erscheinungsjahr 2024
ISBN: 978-3-031-75919-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
24th IFIP WG 5.4 International TRIZ Future Conference, TFC 2024, Cluj-Napoca, Romania, November 6–8, 2024, Proceedings, Part I
E-Book, Englisch, Band 735, 248 Seiten, eBook
Reihe: IFIP Advances in Information and Communication Technology
ISBN: 978-3-031-75919-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
.- 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.