Chanyeol Choi Hyunseok Kim Ji-Hoon Kang Min-Kyu Song Hanwool Yeon Clelsta S. Chang Jun Min Suh Kuangye Lu Bo-In Park Yeongin Kim Han Eol Lee Doyoon Lee Jaeyong Lee Ikbeom Jang Subeen Pang Kanghyun Ryu Sang-Hoon Bae Yifan Nie Hyun S. Kum Park, Min Chul 이수연 Kim, Hyung jun Huaqiang Wu Pen Lin Jeehwan Kim 2024-01-12T03:30:14Z 2024-01-12T03:30:14Z 2022-06-17 2022-06 2520-1131 https://pubs.kist.re.kr/handle/201004/76703 Artificial intelligence applications have changed the landscape of computer design, driving a search for hardware architecture that can efficiently process large amounts of data. Three-dimensional heterogeneous integration with advanced packaging technologies could be used to improve data bandwidth among sensors, memory and processors. However, such systems are limited by a lack of hardware reconfigurability and the use of conventional von Neumann architectures. Here we report stackable hetero-integrated chips that use optoelectronic device arrays for chip-to-chip communication and neuromorphic cores based on memristor crossbar arrays for highly parallel data processing. With this approach, we create a system with stackable and replaceable chips that can directly classify information from a light-based image source. We also modify this system by inserting a preprogrammed neuromorphic denoising layer that improves the classification performance in a noisy environment. Our reconfigurable three-dimensional hetero-integrated technology can be used to vertically stack a diverse range of functional layers and could provide energy-efficient sensor computing systems for edge computing applications. By using optoelectronic device arrays for chip-to-chip communication and neuromorphic cores based on memristor crossbar arrays for highly parallel data processing, reconfigurable and stackable hetero-integrated chips can be created for use in edge computing applications. English NATURE PUBLISHING GROUP Reconfigurable heterogeneous integration using stackable chips with embedded artificial intelligence Article 10.1038/s41928-022-00778-y 1 Nature Electronics, v.5, no.6, pp.386 - 393 Nature Electronics 5 6 386 393 N scie scopus 000810376500001 Engineering, Electrical & Electronic Engineering Article