MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641109962 A) filed by Umesh Ranganath N on September 14, 2026, for Existence Field Computation Engine With Semantic Matching, Continuous Learning, And Zero-Training Memory.
Inventor includes Umesh Ranganath N.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: An Existence Field Computation (EFC) Engine represents knowledge as dynamic field points. Facts are added without retraining, connections form based on shared semantic tokens, and queries are resolved by resetting amplitudes, matching terms with stop word removal and n-gram similarity, and propagating activation to crystallize relevant results. The engine provides zero-cost continuous learning, no catastrophic forgetting, inherent explainability, automatic personalization, and fault tolerance, while running efficiently on CPU without separate indexes. The system can be combined with language models for hybrid generation. The invention further claims a Semantic Field Propagation Equation implemented within a computer system, producing reduced memory usage and reduced processing time. The zero- training architecture reduces training-related water consumption in data center deployments.
Disclaimer: Curated by HT Syndication.
