AI in EE
AI IN DIVISIONS
a key thrust in EE research
AI/machine learning efforts are already a big part of ongoing research in all 6 divisions -
Computer, Communication,Signal, Wave, Circuit and Device - of KAIST EE. Examples include
neuromorphic devices, VLSI hardware architecture tailored to machine learning, image/voice recognition
via deep learning, statistical inference, coding and information theory to enhance distributed machine
learning, intelligent robots, quantum information, brain imaging, etc.
Research topics include signal processing, image processing, computer vision, power, energy, intelligent robotics, control, brain-IT, medical imaging, brain analysis and imaging and brain-based robots. In particular, deep learning is a common theme in many exciting cutting-edge applications related to self-driving cars and intelligent robots. Specific applications of interest include 3D image processing, image segmentation, object tracking, 3D video analysis and audio synthesis.
Specific ongoing research topics related to AI and machine learning within Signal Division of KAIST EE include: