EECS and AI Department @ DGIST
We design the future learning technology and platform.
We will present two papers at DAC’23, an HD computing method integrated with deep learning and a task allocation technique for CXL devices.
Seohyeon Kim, Kangwon Kim in the AI department joined CELL in the first semester of 2023. Welcome!
Two research papers are accepted at DATE’23. One paper proposes an enhanced technique for HD computing using a trainable encoder.
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