MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202511122308 A) filed by K. R. Mangalam University, Gurugram, Haryana, on Dec. 5, 2025, for 'method for low-latency data compression using hybrid machine-learning heuristics.'
Inventor(s) include Dr. Preeti Rathi; and Dr Neeraj Kumari.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The present invention provides a method for achieving low-latency data compression using hybrid machine-learning heuristics that dynamically guide the selection and execution of deterministic compression operations. The method introduces a lightweight predictive model configured to analyze incoming data characteristics in real time and determine an optimal compression pathway that minimizes computational overhead and encoding delay. The predictive model evaluates entropy patterns, structural signatures, and temporal behaviors, enabling the compression engine to selectively activate transformations, symbol modeling, or entropy coding based on latency targets and system resource conditions. The method incorporates adaptive feedback mechanisms that refine heuristic decisions during sustained operation, ensuring stable responsiveness under varying data loads and heterogeneous platform environments. The invention enables high-throughput, low-latency compression suitable for distributed systems, edge devices, streaming environments, and real-time communication networks, providing adaptive intelligence without the inference burden of deep neural compression frameworks."
Disclaimer: Curated by HT Syndication.
