Abstract
The present disclosure provides a method and a system for real-time adaptation and dynamic learning of artificial intelligence (AI) model. The method includes incorporating a decoupled multi-model architecture. The multi-model architecture comprises a base module and a feedback module. The method includes training the base module based on the historical transactions data to provide a generalized baseline prediction. The method includes training the feedback module based on the emerging data to provide a real-time prediction. Further, the method includes performing ensemble on the predictions of the base module and the feedback module to provide a reliable and accurate prediction of the suspicious patterns in the transactions data.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Gu, Yu; Wang, Sheng; and Hamilton, Sam, "A System and Method for Real-time Adaptation and Dynamic Learning of Artificial Intelligence (AI) Model", Technical Disclosure Commons, (March 19, 2026)
https://www.tdcommons.org/dpubs_series/9559