Innovative EM Methodology and Solutions
We specialize in a three-phase methodology combining theory, experimentation, and application to advance electromagnetic modeling and analysis through cutting-edge techniques and tools.
Our Unique Approach
Empowering EM Research
Utilizing synthetic simulations and real-world data, we benchmark our field-attention layers against traditional transformers, enhancing path loss prediction and multipath modeling for advanced electromagnetic applications.
Experimentation Projects
Utilizing advanced methodologies for electromagnetic modeling and analysis.
Field Attention
Innovative layers for electromagnetic field modeling and predictions.
Data Integration
Combining synthetic simulations with real-world 5G channel data.
Critical requirements necessitating GPT-4 fine-tuning:
Physics Encoding: Must teach model symbolic math of Maxwell's equations (e.g., ∇·D=ρ), beyond GPT-3.5's capability
Multimodal Alignment: EM data involves vector fields/spectrograms requiring GPT-4's cross-modal architecture
Dynamic Verification: Real-time energy conservation checks demand GPT-4's 32k context for long-range constraints
Exclusive Advantage: GPT-3.5 cannot semantically parse tensor operations like curl