MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641096625 A) filed by Vellore Institute Of Technology on August 10, 2026, for Cognitive Drift Prediction And Adaptive Learning Optimization System With Federated Privacy-Preserving Architecture.
Inventors include Dr. Ashish P; Suresh Krishna K; Harish Y; and Vishva Sa.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: The present invention discloses a Cognitive Drift Prediction and Adaptive Learning Optimization System comprising a closed-loop artificial intelligence architecture for proactive learner cognitive monitoring, prediction, and personalized intervention. The system integrates multimodal data acquisition, probabilistic behavioural fusion, cognitive digital twin simulation, federated privacy-preserving learning, brain-inspired neural memory decay graph modelling, knowledge collapse prediction, explainable cognitive decision architecture, multi-agent educational intelligence, adaptive intervention optimization, and real-time learning path reconfiguration. The system continuously generates cognitive state indicators by analysing heterogeneous behavioural, cognitive, and affective signals, predicts future cognitive drift, and dynamically adapts learning pathways. Neuromorphic knowledge encoding, quantum-inspired curriculum optimization, cross-modal AI content validation, and bidirectional affective-cognitive regulation enable reliable, privacy-preserving, and personalized learning experiences. The invention facilitates proactive prevention of learning failures and optimized educational content delivery through continuous cognitive adaptation.
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