MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611106975 A) filed by Chandigarh University on September 05, 2026, for Cognitive Drift Detection And Self-Calibration For Long-Lived Ai Models.
Inventor includes Siddharth Arora.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present invention relates to a cognitive drift detection and self-calibration system for an AI-enabled device deployed in a fixed physical environment. The system comprises environmental sensors (101), a sensor interface unit (102), a processing unit (103), a primary AI inference engine (104), a cognitive drift monitoring module (105), a confidence entropy Analyzer (106), a synthetic perturbation generator (107), a self-calibration controller (108), a memory unit (109), and a calibration safety guard (110). The system continuously captures internal reasoning metrics, including confidence distributions and latent representation stability, and compares current metrics with longitudinal baseline profiles to detect cognitive drift. Upon detecting drift, controlled synthetic perturbations are generated (107) to evaluate reasoning flexibility. Based on the response, the self-calibration controller (108) incrementally adjusts model parameters under safety constraints (110). A rollback mechanism restores prior parameters when instability is detected, enabling continuous and reliable AI operation.
Disclaimer: Curated by HT Syndication.
