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.

A digital, abstract representation of a human head is integrated with a circuit-like design that flows into a microchip. The overall layout suggests a fusion of technology and human elements, with intricate line patterns representing circuits.
A digital, abstract representation of a human head is integrated with a circuit-like design that flows into a microchip. The overall layout suggests a fusion of technology and human elements, with intricate line patterns representing circuits.
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.

A vintage typewriter with a sheet of paper on which the words 'MACHINE LEARNING' are typed in bold. The typewriter appears to be an older model with black keys and a white body, placed on a wooden surface.
A vintage typewriter with a sheet of paper on which the words 'MACHINE LEARNING' are typed in bold. The typewriter appears to be an older model with black keys and a white body, placed on a wooden surface.
Field Attention

Innovative layers for electromagnetic field modeling and predictions.

A 3D-rendered image of a green circuit board depicting various electronic components, including a central purple chip with a symbol, multiple smaller chips, capacitors, and resistors. The board features intricate gold circuitry pathways.
A 3D-rendered image of a green circuit board depicting various electronic components, including a central purple chip with a symbol, multiple smaller chips, capacitors, and resistors. The board features intricate gold circuitry pathways.
A model of a human brain with intricate detailing is placed on a smooth surface. The brain is illuminated with vibrant red veins and a green base against a vivid blue background, creating a striking contrast.
A model of a human brain with intricate detailing is placed on a smooth surface. The brain is illuminated with vibrant red veins and a green base against a vivid blue background, creating a striking contrast.
A close-up of an abstract textured surface featuring irregular patterns resembling neural networks or biological structures. The surface appears metallic with reflective qualities and intricate grooves.
A close-up of an abstract textured surface featuring irregular patterns resembling neural networks or biological structures. The surface appears metallic with reflective qualities and intricate grooves.
Data Integration

Combining synthetic simulations with real-world 5G channel data.

A close-up view of electronic components on a circuit board, including capacitors, inductors, and semiconductor chips. The components are densely packed, with visible QR codes on some of the parts. The circuit board is part of a larger electronic device with a metallic enclosure.
A close-up view of electronic components on a circuit board, including capacitors, inductors, and semiconductor chips. The components are densely packed, with visible QR codes on some of the parts. The circuit board is part of a larger electronic device with a metallic enclosure.

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