Research & Development
R&D at Dvyamsha
Exploring boundary-pushing architectures and lightweight frameworks for next-generation intelligence.
Physics-Informed ML
Microcosm: Library for Physics-Informed Neural Networks
A specialized library designed for modeling complex physical domains by embedding physical laws, conservation principles, and domain constraints directly into neural network architectures.
LLM Efficiency & Architecture
Focus-Retention Architecture for LLMs
Novel focus-retention attention mechanisms enabling ultra-low memory footprint, fast context retention, and optimized local inference performance on edge and commodity hardware.