Perspectives of Ferroelectric Wurtzite AlScN: Material Characteristics, Preparation, and Applications in Advanced Memory Devices
H Qin, N He, C Han, M Zhang, Y Wang, R Hu, J Wu… - Nanomaterials, 2024 - mdpi.com
Ferroelectric, phase-change, and magnetic materials are considered promising candidates
for advanced memory devices. Under the development dilemma of traditional silicon-based …
for advanced memory devices. Under the development dilemma of traditional silicon-based …
Edge PoolFormer: Modeling and Training of PoolFormer Network on RRAM Crossbar for Edge-AI Applications
PoolFormer is a subset of Transformer neural network with a key difference of replacing
computationally demanding token mixer with pooling function. In this work, a memristor …
computationally demanding token mixer with pooling function. In this work, a memristor …
Methodology for Testing Key Parameters of Array-Level Small-Area Hafnium-Based Ferroelectric Capacitors Using Time-to-Digital Converter and Capacitance …
D Zhang, H Yang, Y Cao, Z Han, Y Liu, Q Wu, Y Han… - Micromachines, 2023 - mdpi.com
Hafnium-based ferroelectric memories are a promising approach to enhancing integrated
circuit performance, offering advantages such as miniaturization, compatibility with CMOS …
circuit performance, offering advantages such as miniaturization, compatibility with CMOS …
A Memory-Efficient High-Speed Event-based Object Tracking System
Dynamic vision sensors (DVS) have become prevalent in edge vision applications due to
their low power and short latency attributes. However, current DVS-based object tracking …
their low power and short latency attributes. However, current DVS-based object tracking …
Energy-efficient AI hardware design for edge intelligence
T Cao - 2024 - dr.ntu.edu.sg
In the era of Artificial Intelligence (AI), the widespread adoption of AI applications has
reached every facet of daily life, including the Internet of Things (IoT). However, the …
reached every facet of daily life, including the Internet of Things (IoT). However, the …