KSB(Knowledge-converged Super Brain)
The KSB(Knowledge-converged Super Brain) Convergence Research Department(KSBCRD) has a goal to secure implementation technologies for the human-centric hyper-connected intelligent society to respond the advent of the Era of IoE(Internet of Everything). To achieve this goal, the KSBCRD is researching and developing core-technologies for a self-learning based Knowledge-converged Super Brain that offers intelligent services for prediction, prevention and optimization by collecting & purifying multi-modal data from Hyper-connected IoE network, extracting the knowledge through a machine learning, and reasoning fused with expert knowledge of various domains.
The KSBCRD is organized by ETRI, and participates researchers from 4 government-funded research institutes including ETRI such as ‘Korea Institute of Energy Research(KIER)’, ‘Korea Atomic Energy Research Institute(KAERI)’ and ‘Korea Research Institute of Standards and Science(KRISS)’. By concentrating the core ability of the participants the KSBCRD is researching and developing national-growth future technologies that public can experience, solving national/social problems, and creating new industries. The KSBCRD is conducting a future leading-type Convergence Research supported by ‘R&D Convergence program of NST(National Research Council of Science & Technology)’.
The main Research area of KSBCRD is, hyper-connected IoE network, hyper-connected Self-machine learning engine, hyper-connected domain expert intelligence system, self-machine learning based hyper-connected society-responsive autonomous distributed energy systems, self-machine learning based leak disaster prevention expert system’ and ‘self-machine learning and IoE based elderly health monitoring’. By converging IoE, Big data and Artificial Intelligence, KSBCRD will contribute to realize the human-centric hyper-connected intelligence information society.
To make our nation a Leading Country for Human-centric Hyper-connected Intelligence Informationization
Development of Self-machine learning type Knowledge-Convergence Supe-Brain Intelligence technology
Managing DirectorPyo, Chul Sik
KSB Convergence Research Department
- Research Cooperation Section