Self-Machine Learning Engine Research Section
The goal of Self-Machine Learning Engine Research section is to develop a core learning engine technology for Knowledge-converged Super Brain (KSB) realization. The strategy of our development is to support cooperation with already existing technologies (machine learning related and semantic related). Based on technologies cooperation, we expect our deliverable to be more complete and ready for real world applications. The deliverable will be released as a open source for high accessibility for users. Final deliverable will include an intuitive and flexible UI, various models and algorithms, useful recommend options and services.
Director Yoo, Ung Sik