인공지능향 반도체 소자 연구실

Addressing these challenges requires the development of novel computing architectures, including neuromorphic computing and in-sensor computing. Additionally, edge computing is required to facilitate energy-efficient signal processing at the individual edge device level. In response to these demands, we aim to explore and develop new semiconductor devices tailored to these emerging computing paradigms, which are vital for the continued evolution and enhancement of AI technologies. Banner photos:Enrique Jiménez (Home, CC BY-SA 2.0);Rob Bulmahn (Research, CC BY 2.0);H. Y. Shin (Contact, CC0) via Wikimedia Commons; other topic photos fromUnsplash (Unsplash License); People, Graduate Students, Ferroelectric Devices, Oxide Semiconductors, 3D DRAM and V-NAND images are AI-generated illustrations. Cropped for display.