Artificial Life TRIZ Cases
- Virtual Pet Event Journal Display Method
A terminal retrieves event journal information from a server to display virtual pet history.
- Offline Player Agent for Persistent World Game Presence
A persistent world game uses an offline player agent to monitor events and generate actions, allowing players to contribute without staying logged in.
- Thing Machine Graph Model for IoT Service Adaptability
Thing Machine applies a universal graph model to resolve the trade-off between mobile adaptability and device complexity in IoT service access.
- Autonomous Feature Vector Generation via Reinforcement Learning
An autonomous deep reinforcement learning agent selects features from a taxonomic graph to automate engineering, reducing manual trial-and-error complexity.
- Obfuscated Environment Model for Privacy-Preserving RL Training
An obfuscated environment model generates user trajectories for training action selection systems without exposing sensitive target data.
- Automatic Policy Manager for Data Loss Prevention
Automatic Policy Manager analyzes endpoint data flows to generate and adjust DLP policies, reducing manual configuration effort for IT teams.
- Private Deep Learning via Teacher-Student Distillation
A private deep learning system trains student models using perturbed teacher outputs to preserve sensitive data privacy.
- Avatar Rendering Using Uncorrelated Codec Portions
Uncorrelated codec portions train a machine-learning model to render accurate avatar poses without overfitting limited training data.
- Reinforcement Learning Agent for Diverse ODE Dataset Generation
A reinforcement learning agent autonomously generates ordinary differential equations using a neural network to build diverse mathematical datasets.
- Radio Resource Management for Network Slices
Distinct neural networks update cost indices to allocate radio resources without retraining existing slices.
- Deep Reinforcement Learning for Database Tuning Automation
A deep reinforcement learning feedback loop automates physical database design and tuning actions.
- Dual Sequence Inference Neural Network Model
Mixed learning objective accelerates training speed while deep coattention encoder improves accuracy on question answering tasks.
- BP Neural Network for Biomass Char Gasification Prediction
Particle swarm optimization tunes BP neural network weights to resolve low convergence speed and high prediction errors in biomass char gasification.
- Hierarchical LLM Routing for Edge Petrophysical Analysis
A control language model directs domain-specific queries to specialized edge models for petrophysical analysis.
- Online Garment Design System Using Digital Parts and 3D Avatars
Server system combines digital garment parts to create virtual garments, reducing physical sampling time and costs.
- Clinical Trial Participant Status Update via Trust Dynamics
A computing system autonomously updates clinical trial participation status using machine learning to determine trust disposition values.