Title
FeFET and NCFET for Future Neural Networks: Visions and Opportunities
Abstract
The goal of this special session paper is to introduce and discuss different emerging technologies for logic circuitry and memory as well as new lightweight architectures for neural networks. We demonstrate how the ever-increasing complexity in Artificial Intelligent (AI) applications, resulting in an immense increase in the computational power, necessitates inevitably employing innovations starti...
Year
DOI
Venue
2021
10.23919/DATE51398.2021.9473978
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Keywords
DocType
ISBN
Technological innovation,Nonvolatile memory,Computer architecture,Artificial neural networks,Capacitance,Hardware,Complexity theory
Conference
978-3-9819263-5-4
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Mikail Yayla100.34
Kuan-Hsun Chen200.34
Georgios Zervakis300.68
Jörg Henkel4138.46
Jian-Jia Chen500.34
Hussam Amrouch625150.22