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.
Nano electronics, flexible electronics and displays, high-speed electronics and energy/biomedical devices are the main topics of research. Interests include Nano-CMOS devices, neuromorphic devices, graphene/2D semiconductor devices, organic displays, flexible displays, MEMS, mm-wave/THz devices, compound semiconductors and 3D integration, biomedical/energy devices and quantum mechanical simulation for device. We are aiming to make significant technological and industrial impacts through a variety of research on electronic devices and related systems.
Specific ongoing research topics related to AI and machine learning within Device Division of KAIST EE include: