AI and machine learning are a key thrust in EE research
In fact, 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.
Recent AI-related activities in Signal Division
The main research interest of Signal Division of KAIST EE is to develop technologies for processing various types of signals and for electromechanical control of dynamic systems which traditionally have been accomplished by hand-crafted algorithms based on mathematics, intuition and heuristics. In modern engineering problems, the signals and systems of our interests have extremely high dimensions and data sizes as well as non-deterministic properties which bring challenges to the design of optimized algorithms. We, Signal Division of KAIST EE, develop AI technologies to challenge such problems and push the technology beyond the limit. Specific ongoing research topics related to AI and machine learning within Signal Division of KAIST EE include: