Long Term Patterns of Life from Sporadic Observations Phase II

This SBIR Phase-II project will develop novel approaches for unsupervised life-long learning architecture to extract long-term patterns of life from sporadic observations. Novateur will extend the Phase I capabilities to develop an improved biologically inspired framework that models long-term dependencies, learns associations between features from sensory observations and the contexts in which these features occur, identifies sudden changes in the patterns for anomaly detection and adapts to gradual changes in the patterns. The Phase II activities will involve i) improvement of core technologies, ii) development of software system integrating the technology components, iii) development of a cloud-based web application for anomaly detection and alert generation, and iv) demonstration of technologies using public datasets of different modalities.