Thresholding Computing with Heterogeneous Integration of Memristive Kernel with Metal‐Oxide‐Semiconductor Capacitor for Temporal Data Analysis (Adv. Mater. 50/2024)
Year: 2024
Type: article
Abstract: Thresholding Computing The illustration depicts the process of receiving temporal data by an integrated hardware kernel, which then processes the input to extract meaningful information using memristors. The data flow through the hardware is visualized with signals converging onto the kernel, highlighting the sophisticated interaction between the temporal input and the advanced memory elements, ultimately enabling efficient data extraction and analysis. More details can be found in article number 2410432 by Yoon Ho Jang, Cheol Seong Hwang, and co-workers.
Source: Advanced Materials
Authors: Sung Keun Shim, Keonuk Lee, Janguk Han, Dong Hoon Shin, Soo Hyung Lee, Sunwoo Cheong, Yoon Ho Jang, Cheol Seong Hwang
Institution: Seoul National University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4405327135