EECS and AI Department @ DGIST
We design the future learning technology and platform.
We presented three research papers at DAC’22. A paper for “QuiltNet” is collaborative work funded by SK Hynix.
A new research project funded by IITP launched starting at 2022! It is collaborative research with Prof. Jung’s group at KAIST.
Hyukjun Kwon in the AI department joined CELL in the second semester of 2022. Welcome!
Hyperdimensional (HD) computing is an alternative computing method that processes cognitive tasks in a lightweight and error-torrent way based on theoretical neuroscience. We work on developing neuro-symbolic AI to support various learning tasks such as supervised, unsupervised, and reinforcement learning based on HD computing.
We rethink the role of machine learning in various alternative computing. We explore diverse system-level solutions to seamlessly accelerate AI applications on next-generation computer architectures such as near-data computing, in-memory computing, and CXL (Compute Express Link). We also develop ML-driven system software to enhance the capability of traditional computers.
We build state-of-the-art learning software and hardware on low-power devices. It includes designing self-learning systems capable of autonomous sensing, learning, and actuating on diverse IoT and edge platforms. We are also exploring brilliant and interesting ideas such as learning with brain signals and virtual neural connectome to realize AI more closely in people’s daily life.
E3 Building Room 613, 333, Techno jungang-daero, Hyeonpung-myeon Dalseong-gun, Daegu, 42988, REPUBLIC OF KOREA
yeseongkim(AT)dgist.ac.kr
(+82) 053-785-6332