Thresholding Computing with Heterogeneous Integration of Memristive Kernel with Metal-Oxide-Semiconductor Capacitor for Temporal Data Analysis (Adv. Mater. 50/2024)
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引用次数: 0
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.
期刊介绍:
Advanced Materials, one of the world's most prestigious journals and the foundation of the Advanced portfolio, is the home of choice for best-in-class materials science for more than 30 years. Following this fast-growing and interdisciplinary field, we are considering and publishing the most important discoveries on any and all materials from materials scientists, chemists, physicists, engineers as well as health and life scientists and bringing you the latest results and trends in modern materials-related research every week.