Academic Innovations

a) The proposed AI based research is aimed to have the ability to capture nonlinearity and spatial heterogeneity of spatial distributions of copper mineralisation(s). The proposed integrated modelling is aimed to provide a tool for solving generic spatial distributions and predicitivity patterns in respect of copper mineralisation, and thereby aid in the process of locating new exploration targets. The AI technology and knowledge innovation that are aimed to be developed would reduce possibilities of errors arising due to incompleteness and inconsistency in copper exploration data. b) The process-flow could be used for function approximation and predictive targetting, which together would be a dyanamic machine learning application. c) Projcet outcome would predict occurrences of copper mineralisations in unexplored terrains based on decisions arrived at by AI-based predictive modelling. It would be in the form of software technology and knowledge/innovation for smart exploration.