A Value Driven Machine Learning Module For Cyber Physical Human Systems
The present invention discloses a cyber physical human system comprises of an edge based artificial intelligence module, configured to gather data and provide immediate actions related to a current situation encountered; and, a cloud based artificial intelligence engine, configured to store trained data for past situations encountered, characterized in that, a Kernel Bayesian Reciprocal Mapfield performs mutual adaption and accommodation of the trained data to the immediate actions of the current situation encountered based on at least one adaptive resonance techniques such that an optimized action is generated to be executed for the current situation encountered.
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ChM Dr. Lee Ching Shya, PhD (Dual), RTTP
Technology Transfer Manager
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