Note: We are currently looking for self-motivated students for Intern/Master/PhD program and also post-doctorate researchers. (2019.05.17 update) If you are interested in this lab, please contact to Kangil Kim via e-mail.
Our current research goal
How to build a single accumulative intelligence for more general and wider problems?
Main Interest: Analysis of various intelligence model representations, optimization, search, model complexity, regularization, probabilistic and geometric behavior
Fundamental Research: estimation of distribution algorithm, genetic programming, probabilistic formal grammar model, ant colony optimization, neural networks, recurrent neural networks, feedforward neural network, memory-based neural networks, knowledge representation/embedding/injection/accumulation
Practical Research: Machine Translation, Syntax Analysis, Question Answering, Knowledge Representation, Time Series Forecasting in Environmental problems, 3D-printing image classification