{"product_id":"world-conference-of-aipowered-innovation-and-triz-methodology-9783032088468","title":"World Conference of AIPowered Innovation and TRIZ Methodology","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003e\u003cstrong style=\"mso-bidi-font-weight: normal;\"\u003e\u003cspan lang=\"EN\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Cambria',serif; mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria; mso-ansi-language: EN; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003eNeuro-Symbolic and AI-Assisted Contradictions.\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- \u003cspan lang=\"EN\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Cambria',serif; mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria; mso-ansi-language: EN; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003eResearch on Technology Opportunity Discovery and Implementation Based on Multi-Layer Knowledge Graphs .\u003cbr\u003e.- Systematic Cause Elimination in TRIZ Cause-Effect Models With Partially Defined Logical Operators.\u003cbr\u003e.- Comparative Study on AI-Augmented Inventive Problem Solving With TRIZ, TRIZ-AI Hybrid, and Autonomous AI: An Inline Coating Measurement Case in Lithium-Ion Cell Production.\u003cbr\u003e.- AI-Powered Identification of Main Parameters of Value (MPVs) for Trends of Engineering System Evolution (TESE): Benchmarking Language Models on Wound Care Medical Device Patents.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003cstrong style=\"mso-bidi-font-weight: normal;\"\u003e\u003cspan lang=\"EN\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Cambria',serif; mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria; mso-ansi-language: EN; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003eGenerative Agents for Ideation and Design.\u003c\/span\u003e\u003c\/strong\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- \u003cspan lang=\"EN\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Cambria',serif; mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria; mso-ansi-language: EN; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003eEnhancing Patent Drafting Through Contradiction Identification.\u003cbr\u003e.- Discovery Omnia: Dynamic RAG for Enhanced Patent Analysis and Systematic Innovation.\u003cbr\u003e.- Study on PBL (Problem\/Project-Based Learning) Based on TRIZ Methodology.\u003cbr\u003e.- Evaluating LLM Performance in TRIZ-Based System Forecasting: A Study Using the 9-Windows Tool.\u003cbr\u003e.- Leveraging Problem Graph Extraction and Improvement Perspectives for AI-Assisted Invention.\u003cbr\u003e.- Leveraging Large Language Models and TRIZ for Automated Patent Drafting and Innovation Generation.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e .- \u003cstrong style=\"mso-bidi-font-weight: normal;\"\u003e\u003cspan lang=\"EN\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Cambria',serif; mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria; mso-ansi-language: EN; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003eTech Mining, Forecasting and Cross-Domain Exploration.\u003c\/span\u003e\u003c\/strong\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- \u003cspan lang=\"EN\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Cambria',serif; mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria; mso-ansi-language: EN; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003eArtificial Intelligence for Contradiction Solving in Lean Green Supply Chain Performance Context: A Comparative Case Study.\u003cbr\u003e.- Contradiction Formulation Using Large Language Models and Generative AI.\u003cbr\u003e.- Patents as Signals for Green Investment Opportunity Evaluation: A Full-Cycle AI-Powered TRIZ Framework.\u003cbr\u003e.- Automated TRIZ Function Model Generation Using Large Language Models: An Ontology-Guided Framework for Engineering Problem Analysis.\u003cbr\u003e.- TRIZ in Speech Analytics: Overcoming the AI Precision-Resource Efficiency Contradiction for Scalable Contact Center Innovation.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan lang=\"EN\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Cambria',serif; mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria; mso-ansi-language: EN; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003e.- \u003cstrong style=\"mso-bidi-font-weight: normal;\"\u003eModeling, Verification and Optimization of Technical Systems.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Cambria',serif; mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria; mso-ansi-language: EN; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003e.- LLM-Based Functional Modeling of Technical Systems.\u003cbr\u003e.- Measuring Transdisciplinarity in Startups With NLP and TRIZ Principles.\u003cbr\u003e.- CPU-Efficient Verification of Science Problem-Solution Pairs: Design Rationale and Baselines.\u003cbr\u003e.- Classification of Geometric Effects Based on the 40 Inventive Principles.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan lang=\"EN\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Cambria',serif; mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria; mso-ansi-language: EN; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003e.- \u003cstrong style=\"mso-bidi-font-weight: normal;\"\u003eFrameworks for Digital Transformation and Industry 5.0.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"font-family: Cambria, serif;\"\u003e\u003cspan style=\"font-size: 14.6667px;\"\u003e.- \u003cspan lang=\"EN\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Cambria',serif; mso-fareast-font-family: Cambria; mso-bidi-font-family: Cambria; mso-ansi-language: EN; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003eA TRIZ and Socratic AI-Based Problem-Solving Framework.\u003cbr\u003e.- Resilient Innovation Portfolio Management Approach: Exploring Alternative Strategies.\u003cbr\u003e.- Investigating the Integration and Adaptation of ARIZ With Large Language Models.\u003cbr\u003e.- Seeking Additional Mitigation Strategies for State Machine Cause-Effect Modeling.\u003cbr\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":52091436466519,"sku":"9783032088468","price":104.49,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/world-conference-of-aipowered-innovation-and-triz-methodology-9783032088468","provider":"Book Curl","version":"1.0","type":"link"}