Note: We are currently looking for self-motivated students for Intern/Master/PhD program and also post-doctorate researchers. (2019.10.14, contact to kangil kim via e-mail.)
Now, this lab belongs to GIST AI graduate school mainly focusing on M.S.&Ph.D integrated programs. Please be careful whether you are applying to GIST AI graduate school.

Our current research goal

How to build a single accumulative intelligence for more general and wider problems?

Previous research

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