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

Generalize

IFIP Advances in Information and Communication Technologyhttp://image.papertrans.cn/w/image/1031102.jpg

Amplify

明智的人

tooth-decay

nettle

LLM-Based Extraction of Contradictions from Patents inventive concepts respectively TRIZ concepts like problems, solutions, advantage of invention, parameters, and contradictions. Succeeding rule-based approaches, finetuned BERT-like language models for sentence-wise classification represent the state-of-the-art of inventive concept extraction. Whil

CLAY

Hla461

Integrating Generative AI with TRIZ for Evolutionary Product Designons. We provide the theoretical foundation by utilizing TRIZ’s systematic problem-solving approach and specific examples of generated data, creating a consistent basis for evaluating the tremendous potential of Generative AI and TRIZ in product design and improvement processes.

处理

Harnessing Generative AI for Sustainable Innovation: A Comparative Study of Prompting Techniques and sustainability, each rated on a scale of 0 to 2. Three case studies within the process engineering domain were used, each representing a different problem-solving scenario. The results showed that the integration of NIP, particularly through the “.” strategy in AI-automated prompting, significantly

笨拙处理

赔偿

Enhancing TRIZ Contradiction Resolution with AI-Driven Contradiction Navigator (AICON)nary research outcomes highlight AICON’s success in discovering novel inventive principles and expanding the TRIZ matrix’s applicability with contextually relevant solutions. These advancements underline AICON’s potential to improve inventive problem-solving methodologies.