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An ultra low-power memristive neuromorphic circuit for Internet of Things smart sensors
In this paper, we propose an ultra low-power analog neuromorphic circuit to be trained to
process sensory data in the Internet of Things smart sensors where low-power and area …
process sensory data in the Internet of Things smart sensors where low-power and area …
CMOS-compatible low-power gated diode synaptic device for hardware-based neural network
A gated diode with a charge trap insulator stack (Al 2 O 3/Si 3 N 4/SiO 2) is proposed as a
synaptic device and its potentiation and depression operations have been demonstrated …
synaptic device and its potentiation and depression operations have been demonstrated …
Design and theoretical calculation of novel GeSn fully-depleted n-tunneling FET with quantum confinement model for suppression on GIDL effect
In this paper, a novel fully-depleted Ge 1-x Sn x n-Tunneling FET (FD Ge 1-x Sn x nTFET)
with field plate is investigated theoretically based on the experiment previously published …
with field plate is investigated theoretically based on the experiment previously published …
Study of novel fully-depleted Ge-on-Insulator n-channel MOSFET with field plate structure for improvement in GIDL and on/off characteristics
X Liu, H Hu, M Wang, H Zhang, B Wang, B Shu… - Superlattices and …, 2017 - Elsevier
In this paper, a novel structure of the fully-depleted Ge-on-Insulator (GOI) n-channel
MOSFET with field plate is proposed and studied by two-dimensional numerical simulation …
MOSFET with field plate is proposed and studied by two-dimensional numerical simulation …
Inverter-based memristive neuromorphic circuit for ultra-low-power IoT smart applications
Nowadays, the analysis of massive amounts of data is generally performed by remotely
accessing large cloud computing resources. The cloud computing is however hindered by …
accessing large cloud computing resources. The cloud computing is however hindered by …
[PDF][PDF] Demonstration of Unsupervised Learning With Spike-Timing-Dependent Plasticity Using NOR-Type Nonvolatile Memory Arrays
김철흥 - 2019 - s-space.snu.ac.kr
Conventional von Neumann computing architecture is at a disadvantage in terms of speed
and power consumption in high-level cognitive applications. Therefore, a new architecture to …
and power consumption in high-level cognitive applications. Therefore, a new architecture to …