Prof. Sang Wan Lee’s team explored the possibility of accessing human uncertainty via the lens of deterministic neural networks. Medical image diagnosing tests with 64 physicians showed that an ensemble neural network has the capacity to perform human uncertainty inference....read more
Haeun Yoo, a member of Prof. Jay H. Lee’s group, has proposed a phase segmentation approach and modified deep deterministic policy gradient algorithm for batch process optimal control under uncertainty....read more
Prof. Young-Ho Cho’s group has developed a new fabrication technique for breathable polymer patches that rapidly wick sweat away from the skin. The technique could reduce the redness and itching caused by wearable biosensors that trap sweat beneath them....read more
ID KAIST Researchers investigated how to design an intelligent assistant that can co-evolve with its user to be able to provide meaningful and effective personalized services....read more
We confirmed which combination of features of multi-modal emotion recognition achieves the highest accuracy....read more