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 Circuit Division
In 2018, more than 1.5 billion US dollars have been invested in AI Circuits from silicon valley. Big companies (Apple, Google, Samsung, Amazon, etc) are pouring even more money to develop Circuits for AI. Why? Because circuit is the biggest bottleneck in AI. The progress in AI cannot continue without the advancement of circuits that form the core foundation of neural networks and machine learning. Circuit is and will continue to be the hottest area in AI for the upcoming future. Specific ongoing research topics related to AI and machine learning within Circuit Division of KAIST EE include: