MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641123134 A) filed by Dr C. M. Suvarna Varma; D. Sai Venkata Gowtham; and M. Vinuthna on October 14, 2026, for Bio-Photonic Sparse Tensor Resonance Architectures For Adaptive Latent Manifold Recovery In Streaming Multimodal Scientific Observatories.
Inventors include Dr C. M. Suvarna Varma; D. Sai Venkata Gowtham; and M. Vinuthna.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: ABSTRACT [0016] The present invention introduces a bio-photonic sparse tensor resonance architecture designed for adaptive recovery of latent manifolds from continuous streams of multimodal scientific data. The system integrates bio-inspired photonic sensing elements with sparse tensor decomposition modules and resonance-based adaptive filters to reconstruct hidden low-dimensional structures in real time. By coupling photonic transduction of biological and physical signals with dynamic tensor sparsity constraints, the architecture recovers evolving latent manifolds even under incomplete, noisy, or asynchronously arriving observations. The method operates on streaming data from scientific observatories that collect concurrent optical, spectral, electrochemical, and environmental measurements. Adaptive resonance mechanisms adjust the tensor rank and sparsity pattern on the fly, enabling continuous manifold updating without full batch recomputation. The resulting recovered manifolds support downstream tasks such as anomaly detection, predictive modeling of complex systems, and cross-modal alignment. The invention provides a scalable, energy-efficient pathway for extracting scientifically meaningful latent structure from high-volume, heterogeneous observation streams while preserving temporal causality and biological signal fidelity.
Disclaimer: Curated by HT Syndication.
