Knowledge Representation TRIZ Cases
- Hybrid RAG Query Decomposition for Low-Latency Mobile AI
Complex prompts are split into sequential and parallel sub-queries so mobile AI can balance on-device speed with cloud retrieval accuracy.
- LLM Content Verification Using RAG and ER Knowledge Graphs
A verifier LLM parses generated answers and checks them against RAG sources and an ER database to flag hallucinations and show accuracy feedback.
- Sheaf Neural Networks for Financial Risk Contagion Propagation
Models multi-dimensional and asymmetrical financial dependencies with sheaf neural networks to improve risk contagion prediction and hotspot detection.
- Reasoning Graph Provenance Tracking for LLM Hallucination Detection
Structured reasoning graphs use stepwise confidence scoring and evidence provenance to detect LLM hallucinations and support reliable answers.
- Semiconductor Equipment Anomaly Detection via Inefficiency Indexing
Machine learning on equipment history separates process from non-process operations to flag abnormal semiconductor tools and improve fab efficiency.
- Decision Tree Scoring for Condition-Specific Causal Graph Generation
Likelihood-based decision tree updates improve condition selection for causal graph generation and reduce manual tuning workload.
- AI Code Generation Using Symbol Graphs and Code Skeletons
Dynamic symbol graphs and code skeletons ground AI code generation in codebase semantics, reducing hallucinations and improving reliability.
- Identity Security Copilot With Knowledge Graph Query Mediation
Natural language query mediation over identity knowledge graphs helps non-technical users retrieve accurate security data and act on risks.
- Multi-Agent AI Bias Detection for Context-Aware Evaluation
AI agents examine conversation data, cross-check bias findings, and add context for more accurate, standards-aligned evaluations.
- Machine Learning Interface Rollout for Regional Feature Adaptation
A feature visualization model adapts interface layouts by region, reducing navigation interactions and conserving processing power and memory.
- Network Protection Rule Swapping with Preloaded Rule Sets
Preprocessed rule sets let a network protection device switch policies quickly, reducing outdated-rule exposure and preserving packet continuity during attacks.