Laboratory for Brain and Machine Intelligence

Laboratory for Brain and Machine Intelligence @ KAIST

Laboratory for brain and machine intelligence, KAIST

News


[NOV 1, 2017] A team of Jung Bae Park, a MS student of  lab, and Ja-Ryong Lee from CS dept. was selected as one of the six AI teams in the Korea AI music competition. (the music is available online http://visla.kr/?p=64375 ) On Nov 1st, the team's AI music composer, "Humelo", has been featured in the event "MUSIC X AI with SM Entertainment", co-organized by Korea Creative Content Agency, SM entertainment, Futureplay, and Korea national univ of arts, and Google Seoul campus. The demonstration of the team (Play with Errors) has received media coverage (JoongAng newspaper, Digital times - interview, Bloter - interview, China focus - interviewYonhap newsDonga newspaper). Congratulations to both of them!


[NOV 3, 2017] Undergraduate student Ji Eun Lim (graduation study) has received the best paper award at the 2017 Korean Society of Human Brain Mapping fall conference. The paper is entitled “EEG Synchrony Patterns of Autism Spectrum Disorder”. Congratulations!

[OCT 27, 2017] Su Jin An has received the best paper award at the 18th International Symposium on Advanced Intelligent Systems. The paper is entitled “Metacognitive Reinforcement Learning”. Congratulations!

[APR 24, 2017] Su Jin An has received the best paper award at the 2016 Korean Institute of Intelligent Systems conference. The paper is entitled “On the Exploration-Exploitation Dilemma using uncertainty based state space learning algorithm”. Congratulations!


[MAR 1, 2017] The team of Benedetto de Martino (UCL) and Sang Wan Lee (KAIST) has been selected as a recipient of the 2016 Google Faculty Research Award in computational neuroscience (link).


[OCT 29, 2016] Two undergraduate students (Jung Bae Park - individual study, Juno Kim - graduation research) have received the best paper award at the 2016 Korean Institute of Intelligent Systems conference. The paper is entitled “Multi-agent Cognitive Policy Learning: Reinforcement Learning Through Competition”. Congratulations!


[SEP 1, 2016] Our lab has been awarded a research grant (1.1 Million USD over 3 years) from Samsung future technology foundation, for a project entitled "AI-human coevolution engine". It is a very competitive grant program; Samsung awarded only six research teams this  year in the intelligence for smart machine category. Our project aims to develop a framework that boosts human learning and inference performance through a combination of model-based fMRI/EEG techniques and various machine learning algorithms.
(press: yonhapnews, korea industry newsmetro, newspim)