Technical Description
A AI-driven system using multi-attention mechanisms to predict protien functions efficiently with minimal trainable parameters.
Problems Addressed
- Inefficient Feature Fusion
- Equal Modality Weightage
- High Computational Load
- Poor Relative Contribution Capture
- Limited Presiction Accuracy
- Excessive Trainable Parameters
- Low Model Scalability
Tech Features
- Cross Modal Attention Architecture
- Enhanced Feature Fusion
- Enhanced Power Generation
- Efficient Multi Modality Integration
- Optimized Parameter Utilization
- High Accuracy Function Predictiction
- Scalable Lightweight Deployment
Target Audience
- Renewable Energy Sector
- HVAC & Ventilation Industry
- Industrial Manufacturing Units
- Construction sector
- Research and Development Institution
Tech ID: P24-1677 TRL 3 Patent Status: Published Available For Exclusive and Non-exclusive License
